TP_GANs_ENGLISH.ipynb

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        "<a href=\"https://colab.research.google.com/github/dbetteb/early-ML/blob/master/TP_GANs_ENGLISH.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
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        "id": "QH74rPNtiqlZ"
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      "source": [
        "# Introduction to GAN : Mechanical Design Generation\n",
        "\n",
        "\n",
        "This tutorial aims at getting familiar with the basic building blocks of Generative Adversarial Networks (GANs). At the beginning of this notebook, we will review and play with a GAN simulator similar to Tensorflow Playground : [GAN lab](https://poloclub.github.io/ganlab/). Then we will present our database that we are going to process today, i.e. a set of images representing mechanical designs. \n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vcj1zavIjiKJ"
      },
      "source": [
        "## GAN 101\n",
        " "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gz3Awavcjq40"
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      "source": [
        "\n",
        "### Generative Models \n",
        "\n",
        "Generative Adversarial Networks are a recent approach introduced by Ian Goodfellow (in [1] then a researcher at the University of Montreal) taking advantage of the characteristics of both generative and discriminative approaches in order to generate inputs similar to a reference learning set. As such, it is an unsupervised generative approach because the first objective of GANs is to generate unlabeled inputs (called $X$) \"close\" (in a sense to be specified) to the distribution of a training reference set.  GANs have been one of the most innovative ideas in machine learning in recent years (Yan Le Cun, director of AI at Facebook, called them \"the best idea in machine learning in the last 10 years\") see [here](https://medium.com/thecyphy/gans-what-and-where-b377672283c5).\n",
        "\n",
        "![](https://scx2.b-cdn.net/gfx/news/2018/5c1a01e78b2f1.jpg)\n"
      ]
    },
    {
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      "source": [
        "The GAN approach has since its introduction in 2014 generated a tremendous amount of interest from the machine learning community and beyond because it is based on a simple idea and a priori allows one to efficiently learn the distribution of a training set and generate examples close to it. Also, unlike many machine learning methods that are as accurate as the input data, GANs offer a kind of creativity in the generated examples. The most prominent example is the use of GANs on images (especially of faces). Typically GANs have been used by NVIDIA to generate faces from a set of existing face photos and the generated faces have reached an impressive level of realism."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CQYniA7XkrrT"
      },
      "source": [
        "### GAN Overview\n",
        "\n",
        "As the name suggests, a GAN (or Generative Antagonistic Network) is globally a generative model. Its goal is to generate $X$ examples close to a reference distribution. Its particularity is both to combine $2$ adversarial models, one generative and the other discriminative, and to rely on the recent successes of deep learning. Other generative models have recently been developed, exploiting the advances of deep learning, for example :\n",
        "\n",
        "* methods that explicitly model the densities of the training sets, either exactly (_Fully Visible Belief Nets_) or approximately (_Variational Autoencoder_ or _Boltzmann machine_)\n",
        "* methods that implicitly model the densities and allow them to be sampled, such as Markov chain approaches (_Generative Stochastic Network_) and direct approaches such as GAN \n",
        "\n",
        "We thus find, as in Bayesian inference (and in reinforcement learning), the very classical distinction in machine learning between \"model\" based methods (density in this case, variational inference type) and \"model-free\" methods (based on sampling of the density which is not explicitly written down, Monte Carlo Markov Chain type). Compared to other generative models Goodfellow in \\cite{goodfellow2016nips} cites as advantages of GANs the following:\n",
        "\n",
        "* possibility to generate **samples in parallel** \n",
        "* the generating function of GANs can be **very versatile** (hence also a **great practical difficulty to train it correctly**)\n",
        "* the generating function of GAN can be **very versatile** (hence also a **great practical difficulty to train it correctly**)\n",
        "* no **Markov hypothesis** (no chain) \n",
        "* the GANs are considered as **asymptotically convergent**.\n",
        "* finally, the results produced by the **GANs are substantially and subjectively superior** to other generative models\n",
        "\n",
        "\n",
        "Finally, let us mention that two competing approaches are generating a lot of attention from the machine learning community:\n",
        "\n",
        "* Flow models\n",
        "* Autoregressive models\n",
        "\n",
        "Both approaches generate a lot of expectations from the research community because these methods could overcome some of the shortcomings of GAN (mixed data in particular, easier training), see for example \\cite{odena2019open}."
      ]
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      "source": [
        "### Different GAN flavor and their applications\n",
        "\n",
        "A GAN is thus a generative model composed of two (sometimes more) models. The approach takes advantage of both discriminative and generative models. In itself, the purpose of a GAN is generative, its goal is to generate examples close to the learning examples. And to achieve this, a GAN relies on a discriminative model which will allow to improve the quality of the generated examples. The analogy of the GAN, made in the founding article \\cite{goodfellow2014generative} is that of counterfeiters and the police. The counterfeiters generate counterfeit bills that are initially crude and are quickly detected, but as the returns come in, the counterfeiters generate more and more realistic bills until they fool the police. Paradoxically, the police indirectly allow the counterfeiters to improve by \"measuring\" the quality of the counterfeits through comparison with the real bills. At convergence, no one can distinguish between real and counterfeit bills.\n",
        "\n",
        "Properly trained, a GAN can generate examples very close to those of the learning base. During its training, a GAN will progressively improve its ability to generate examples by subjecting them to a classifier whose goal is to discriminate the \"real\" examples (those of the training base) from those generated. The structure of a GAN always includes two elements \n",
        "\n",
        "* A **generator** which learns to generate examples. These examples are used to learn a discriminator.\n",
        "* A **discriminator** which learns to separate the \"true\" examples from those coming from the generator. The \"true\" examples are labeled positively and those coming from the generator negatively. The discriminator is thus a classical classifier.\n",
        "\n",
        "\n",
        "![](https://sthalles.github.io/assets/dcgan/GANs.png)\n",
        "\n",
        "At the beginning of the training, the generator produces completely random examples (\"white noise\") and the discriminator easily separates the false examples from the true ones. As the training progresses, if it goes well (which in the case of GANs is often problematic) the generated examples improve (i.e. get closer to the distribution of the \"true\" examples) and some examples may deceive the discriminator. Although it is not necessary, each of these bricks is a neural network, which is why they are called Antagonistic Networks. In absolute terms, any generative (resp. discriminative) model could be the generator (resp. the discriminator), nevertheless the real innovation in the practical training of GANs proposed by Goodfellow is the use of \"crossed\" back-propagation between the generator and the discriminator. Indeed, the generator learns to improve these examples using the gradient of the classifier. It is for this reason that GANs have neural networks as their basic components.\n",
        "\n",
        "\n",
        "\n",
        "Moreover, among the main applications of GANs in the literature, we find the generation of realistic images in the lead. Progress in terms of deep learning architectures dedicated to images, algorithms and learning frameworks, and finally the availability of numerous image datasets judiciously gathered (such as CelebA for faces...) have allowed a significant acceleration of the realism of images generated by GANs (and in particular faces). ) have allowed a significant acceleration of the realism of the images generated by GANs (and in particular faces), going from low-precision images with various defects (frame effects for example) to images that can pass for real high-resolution images in less than 4 years, as can be seen in the following image (the first line at the top corresponds to the year 2015 and the last line at the bottom to the year 2018) :\n",
        "\n",
        "![](https://dudeperf3ct.github.io/images/gan/gan_progress.png)\n",
        "\n",
        "Among the most impressive applications we can also mention :\n",
        "\n",
        "* style or texture transfer that allows to apply uncommon filters like transforming a real landscape image into a painter's painting (Monet, Van Gogh, Cezanne) representing the same image. The approach is called CycleGAN.\n",
        "* the generation of very high resolution images. Some GAN architectures are indeed able to generate images with better resolutions than the input ones. \n",
        "\n",
        "Finally, let's also mention the recent application Zao which produces _deepfakes_, fake videos in which faces are embedded in a very realistic way. The generation of such videos is based on GAN. Finally, let's also mention GANlab, an online resource allowing to train GANs **in the browser** that we will deal with in question 1."
      ]
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      "source": [
        "## A few theoretical properties of GAN's\n",
        "\n",
        "\n"
      ]
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      "source": [
        "### Vanilla GAN\n",
        "\n",
        "Before going further in the description of the GAN, let us specify some notations. We call $D$ the mapping corresponding to the discriminator, i.e. the function which to an input (true or not) noted $x$ (typically it can be the pixel values of an RGB image of size $64 x 64$ in which case $x \\in ([0,256]^{64 \\times 64})^3$ and thus is of size $3 \\times 64 \\times 64$) associates the probability (in the sense of a classifier thus not calibrated) that $x$ is a real image or not. Thus, $D(x)$ should be high if the image is real and low if the image is false. For the generated images, we consider a so-called latent space of variable $z$ sampled from a Gaussian distribution. We note $G$ the mapping between this latent space and the space of false outputs (false images), it is our generating function: $G(z)$ is thus an image. Training a GAN consists in setting the parameters of each of these functions $D$ and $G$ so that $G$ generates outputs $G(z)$ close to the disitribution of the original $x$ (true inputs). Thus, intuitively, we wish to set $D$ and $G$ such that :\n",
        "\n",
        "* $D$ is a good discriminator on real images, i.e. identifies real images well. So we try to maximize $D(x)$ on average for $x$ from the distribution of real inputs. Let \\begin{equation}\n",
        "        \\max_{D} \\mathbb{E}_{x \\sim p_{data}(x)}D(x)\n",
        "    \\end{equation} \n",
        "* at the same time, we also want the probability that the discriminator is fooled by the generator on images generated from the latent space $D(G(z))$ to be maximal. This means that the discriminator cannot distinguish the real images from the generated ones. So on average, on the distribution of latent variables, we want to set the generator $G$ so that the probability that $D$ is wrong is the highest (if at the same time $D$ is good on the real images), that is \n",
        "    \\begin{equation}\n",
        "        \\max_{G} \\mathbb{E}_{z \\sim p_{z}(z)}D(G(z))\n",
        "    \\end{equation}\n",
        "In the end, the cost function to be optimized when training the GAN is therefore simply the addition of these two objectives:\n",
        "\\begin{equation}\n",
        "    \\max_{G} \\max_{D} = \\mathbb{E}_{x \\sim p_{data}(x)}D(x) + \\mathbb{E}_{z \\sim p_{z}(z)}D(G(z))\n",
        "\\end{equation}\n",
        "for both practical and theoretical reasons this problem is transformed into :\n",
        "\\begin{equation}\n",
        "    \\min_{G} \\max_{D} = \\mathbb{E}_{x \\sim p_{data}(x)} \\log{(D(x))} + \\mathbb{E}_{z \\sim p_{z}(z)} \\log{(1-D(G(z))}\n",
        "\\end{equation}\n",
        "in particular, by not taking the probability $D$ directly but its logarithm which is more numerically stable (in particular for small values) as in the classical case of frequentist statistical learning where we try to maximize the log likelihood rather than the likelihood. The transformation into $\\min_G$ allows to transform the GAN learning problem into a min max problem. For this type of problem, classical in game theory and artificial intelligence, we have both theoretical results and practical heuristics for the solution. From the point of view of game theory, the learning of a GAN can be seen as a non-cooperative zero-sum game (the gains of one are the losses of the other, like chess or tarot). One of the opponents aims at maximizing its utility function and the other opponent aims at minimizing it. At convergence of such a situation, we speak of a Nash equilibrium, characterized by the fact that each of the opponents no longer \"wins\" (can no longer minimize the utility function of the other) by trying to increase its own utility function."
      ]
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      "source": [
        "### Loss function and training \n",
        "\n",
        "If we note $\\theta_D$ (resp. $\\theta_G$) the parameters (internal, to be set during the training, typically the weights of the connections for a neural network) of the discriminator (resp. generator) model, we note $V(\\theta_D, \\theta_G)$ :\n",
        "\\begin{equation}\n",
        "    V(\\theta_D, \\theta_G) = \\mathbb{E}_{x \\sim p_{data}(x)} \\log{(D(x;\\theta_D))} + \\mathbb{E}_{z \\sim p_{z}(z)}\\log{(1-D(G(z;\\theta_G);\\theta_D))}\n",
        "\\end{equation}\n",
        "the objective function of the GAN training. And then we :\n",
        "\\begin{eqnarray}\n",
        "    \\frac{\\partial V(\\theta_D, \\theta_G)}{\\partial \\theta_D}  & = & \\mathbb{E}_{x \\sim p_{data}(x)}\\Big[ \\frac{\\partial }{\\partial \\theta_D} \\log{(D(x;\\theta_D))} \\Big] + \\mathbb{E}_{z \\sim p_{z}(z)}\\Big[ \\frac{\\partial }{\\partial \\theta_D} \\log{(1-D(G(z;\\theta_G);\\theta_D)) \\Big]} \\\\\n",
        "      & = & \\mathbb{E}_{x \\sim p_{data}(x)}\\Big[ \\frac{\\partial D(x;\\theta_D)}{\\partial \\theta_D} \\frac{1}{D(x;\\theta_D)} \\Big]+\\mathbb{E}_{z \\sim p_{z}(z)} \\Big[ \n",
        "    -\\frac{\\partial D(G(z; \\theta_G))}{\\partial \\theta_D}\n",
        "    \\frac{1}{1-D(G(z; \\theta_G);\\theta_D)} \\Big]\n",
        "\\end{eqnarray}\n",
        "et \n",
        "\\begin{eqnarray}\n",
        "    \\frac{\\partial V(\\theta_D, \\theta_G)}{\\partial \\theta_G} & = & \n",
        "    \\mathbb{E}_{z \\sim p_{z}(z)}\\Big[ \\frac{\\partial }{\\partial \\theta_G} \\log{(1-D(G(z;\\theta_G);\\theta_D))\\Big] }\n",
        "     \\\\\n",
        "     & = & \n",
        "    \\mathbb{E}_{z \\sim p_{z}(z)} \\Big[- \\frac{\\partial G(z;\\theta_G)}{\\partial \\theta_G} \\frac{\\partial D(G(z;\\theta_G);\\theta_D)}{\\partial \\theta_D} \\frac{1}{1-D(G(z; \\theta_G);\\theta_D)}\n",
        "    \\Big]\n",
        "\\end{eqnarray}\n",
        "Where each of the quantities $\\frac{\\partial D}{\\partial \\theta_D}$ and $\\frac{\\partial G}{\\partial \\theta_G}$ can be computed by gradient backpropagation with a classical framework adapted to neural networks and the expectation is classically approximated empirically :\n",
        "\\begin{equation}\n",
        "    \\mathbb{E}_{x \\sim p_{data}(x)} \\sim \\frac{1}{m} \\sum_{i = i}^m ...(x_i)...\n",
        "\\end{equation}\n",
        "\n",
        "The parameters $\\theta_G$ and $\\theta_D$ are also classically updated by adaptive stepwise gradient descent (with possibly a.k.a _batch_ approach for the gradient computation as in deep learning) adapted to the minmax problem:\n",
        "\\begin{eqnarray}\n",
        "   \\theta_D^{(i+1)} & = & \\theta_D{(i)}+\\alpha_D \\nabla_{\\theta_D} V(\\theta_D, \\theta_G)\n",
        "\\end{eqnarray}\n",
        "and\n",
        "\\begin{eqnarray}\n",
        "   \\theta_G^{(i+1)} & = & \\theta_G{(i)}+\\alpha_G \\nabla_{\\theta_D} V(\\theta_D, \\theta_G) \\\n",
        "\\end{eqnarray}\n",
        "\n",
        "where $\\alpha_D$ and $\\alpha_G$ are the learning rates (often different).\n",
        "\n",
        "If we suppose that we have an infinite amount of data and an infinite capacity of the discriminator (in the sense of the Vapnik-Chervonenkis dimension), we can then theoretically determine an optimal discriminator at each iteration. In this case, we can guarantee the existence and the convergence to the optimal generator.\n",
        "In the same way, for a given generator $G$, we can show that the optimal discriminator $D$ is the optimal Bayes classifier.\n",
        "\n",
        "\\begin{equation}\n",
        "    D_G^\\star(x) = \\frac{p_{data}(x)}{p_{data}(x)+p_G(x)}\n",
        "\\end{equation}\n",
        "Always assuming that we have the optimal discriminator (always with fixed $G$ generator):\n",
        "\n",
        "\\begin{equation}\n",
        "    max_D V(D, G) = -\\ln 4 + 2 D_{JS}(p_{data} || p_G)\n",
        "\\end{equation}\n",
        "\n",
        "where $D_{JS}$ is the Jensen-Shannon divergence.\n",
        "\n",
        "\\begin{equation}\n",
        "    2 D_{JS}(p || q) = D_{KL}(p||q) + D_{KL}(q||p) \n",
        "\\end{equation}\n",
        "and we observe that the minimum (on G) is obtained with \n",
        "\\begin{equation}\n",
        "    p_{data} = p_G\n",
        "\\end{equation}\n",
        "and thus the optimal discriminator has a score of $1/2$. This allows to have an objective criterion of convergence.\n"
      ]
    },
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      "source": [
        "### Deep Convolutional GAN\n",
        "\n",
        "Following the introduction of GANs by Goodfellow, the machine learning community quickly sought to bridge the gap between deep architectures used in image processing and GANs. In 2015, two researchers published \\cite{radford2015unsupervised} where the DCGAN Deep Convolutional Generative Adversarial Networks approach is presented for the first time. Its specificity compared to a Vanilla GAN is to use convolutional layers (similar to CNN) in the architecture of the discriminator and layers called _transposed convolutions_ which, unlike classical convolutions, allow to \"_up-scale_\" the image. Typically, the architecture of the generator is the one described below:\n",
        "\n",
        "![](https://cdn-images-1.medium.com/max/1000/1*rdXKdyfNjorzP10ZA3yNmQ.png)\n",
        "\n",
        "The latent space ($z$) is typically sampled via a Gaussian model in dimension $100$ (or beyond). The convolutional architecture (called _up-convolutional_ or _reverse recognition_) is composed of :\n",
        "\n",
        "* oversampling layers that replace the classical _pooling_ layers by extrapolation operators (bilinear, nearest neighbor...).\n",
        "* low resolution layers** at the beginning of the network\n",
        "* high resolution** layers at the end of the network\n",
        "\n",
        "Often, the architectures of Deep Convolutional GAN generators start with a first dense layer whose role is to transform the latent space (of dimension $100$) into a series (i.e. number of filters) of very low resolution images. In the architecture presented above, the first dense layer builds $1024$ thumbnails of size $4 x 4$. Then the famous _transposed convolution_ layers are applied. Like the classical convolution layers, these layers apply a convolution kernel (typically of size $3 x 3$ or $5 x 5$) on the \"enlarged\" thumbnails with padding and stride. These layers will enlarge each of the thumbnails (for example by doubling from $4 x 4$ to $8 x 8$) and at the same time combine several thumbnails between them and thus retain the most relevant thumbnails as the layers progress. \n",
        "\n"
      ]
    },
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      "cell_type": "markdown",
      "metadata": {
        "id": "8_TR9FiE1k2X"
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      "source": [
        "####  _Transposed convolutions_ layers focus \n",
        "\n",
        "\n",
        "In order to better understand the functioning of the internal layers of the generator in DCGAN, we have represented here animations of these layers with different size of core, thumbnail and stride. They are taken from the excellent guide of Vincent Dumoulin available [here](https://github.com/vdumoulin/conv_arithmetic).\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "Without stride | With stride\n",
        "--- | ---\n",
        "![](https://github.com/vdumoulin/conv_arithmetic/raw/master/gif/no_padding_no_strides_transposed.gif) | ![](https://github.com/vdumoulin/conv_arithmetic/raw/master/gif/no_padding_strides_transposed.gif)\n",
        "![](https://github.com/vdumoulin/conv_arithmetic/raw/master/gif/arbitrary_padding_no_strides_transposed.gif) | ![](https://github.com/vdumoulin/conv_arithmetic/raw/master/gif/padding_strides_transposed.gif)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vVRNm6S3rjNz"
      },
      "source": [
        "## Question 1 : GAN lab\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Czu4rCDWroSq"
      },
      "source": [
        "### Questions \n",
        "\n",
        "Like Tensorflow Playground, [GANlab](https://poloclub.github.io/ganlab/) is an *in-browser* tool for training simple GAN architectures on 2d data sets and observing the GAN training live. \n",
        "\n",
        "![](https://media.arxiv-vanity.com/render-output/3920740/figure-teaser.png)\n",
        "\n",
        "- Play with the training rates and observe the results. What do you observe?\n",
        "- What should be observed on the metrics in case of convergence?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "byzCa9c3ux-A"
      },
      "source": [
        "## Question 2 : Mechanical design case, data import , data consistency\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VvitFcd0vF5l"
      },
      "source": [
        "### General introduction\n",
        "\n",
        "The data that we are going to process are the result of research currently being carried out (see [here](https://books.google.fr/books?id=jhg5EAAAQBAJ&pg=PA222&lpg=PA222&dq=springer+waad+al+masri+topology+deep+learning&source=bl&ots=iySUqEuCCI&sig=ACfU3U22RRc36hrLSRvVlk1G0X9uGLgIGg&hl=fr&sa=X&ved=2ahUKEwjmnZDOzb_0AhXCxIUKHRryCGUQ6AF6BAgQEAM#v=onepage&q=springer%20waad%20al%20masri%20topology%20deep%20learning&f=false)) with the ambition of facilitating mechanical design using deep learning techniques. In particular, we are interested in models allowing to generate mechanical designs seen as images. These designs are obtained by processes specific to the world of mechanical design and allow to sketch the optimal shape of a part to support loads. Following this work, we have a database of several thousand mechanical designs represented by grayscale images where $0$ indicates the presence of material and $1$ the absence. To import the data, we start by cloning the following github account\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EYy0_JQ9u5d9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "30681e4d-017b-4052-f228-a1ffb4c6612c"
      },
      "source": [
        "!git clone https://github.com/dbetteb/Design_Generation_GAN_Tensorflow.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'Design_Generation_GAN_Tensorflow'...\n",
            "remote: Enumerating objects: 34, done.\u001b[K\n",
            "remote: Counting objects: 100% (34/34), done.\u001b[K\n",
            "remote: Compressing objects: 100% (33/33), done.\u001b[K\n",
            "remote: Total 34 (delta 17), reused 0 (delta 0), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (34/34), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2NY9VYrPz8T_"
      },
      "source": [
        "We have to switch working directory to the right one as Colab does not directly import the git repo tree structure as is:\n",
        "```\n",
        "│   create_dataset.py \n",
        "│   Design_Generation_GAN_tensorflow.ipynb \n",
        "│   discriminator.py\n",
        "│   discriminator_2.py\n",
        "│   generator.py\n",
        "│   generator_2.py\n",
        "│   README.md\n",
        "│   train.zip\n",
        "│   train_dcgan.ipynb\n",
        "```\n",
        "but rather creates a temporary folder `content` in which we will find the content of the github repo `Design_Generation_GAN_Tensorflow` but also a directory `sample_data` which contains generic data to be used as examples for importing data in a Colab notebook. So we will position ourselves in the right directory."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "whQvTnmEzy86",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b1d92514-d04d-477b-97ea-27c1c1e34af0"
      },
      "source": [
        "%cd Design_Generation_GAN_Tensorflow/\n",
        "!ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/Design_Generation_GAN_Tensorflow\n",
            "create_dataset.py\t\t\tgenerator_2.py\t      TP5_enonce.ipynb\n",
            "Design_Generation_GAN_tensorflow.ipynb\tgenerator.py\t      TP_GANs.ipynb\n",
            "discriminator_2.py\t\t\tREADME.md\t      train_dcgan.ipynb\n",
            "discriminator.py\t\t\tTP5_correction.ipynb  train.zip\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_vGuwXCvIulj"
      },
      "source": [
        "Data are in a `.zip` archive, we can directly unzip it into the Colab notebook"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qoM1F7hfI2N8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "50e6cdbb-23b9-4c6a-de4c-92e7179ad562"
      },
      "source": [
        "!unzip train.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  train.zip\n",
            " extracting: train/design_2020-01-30 23_12_35_567__1.png  \n",
            "  inflating: train/design_2020-01-30 23_12_44_398__1.png  \n",
            "  inflating: train/design_2020-01-30 23_32_37_668__1.png  \n",
            " extracting: train/design_2020-01-30 23_34_26_822__1.png  \n",
            "  inflating: train/design_2020-01-30 23_34_36_544__1.png  \n",
            " extracting: train/design_2020-01-30 23_38_50_916__1.png  \n",
            " extracting: train/design_2020-01-30 23_43_42_813__1.png  \n",
            " extracting: train/design_2020-01-30 23_54_48_218__1.png  \n",
            "  inflating: train/design_2020-01-30 23_56_34_483__1.png  \n",
            "  inflating: train/design_2020-01-31 08_08_51_971__1.png  \n",
            "  inflating: train/design_2020-01-31 08_24_41_805__1.png  \n",
            "  inflating: train/design_2020-01-31 08_30_40_089__1.png  \n",
            "  inflating: train/design_2020-01-31 08_41_07_903__1.png  \n",
            " extracting: train/design_2020-01-31 08_47_59_988__1.png  \n",
            "  inflating: train/design_2020-01-31 08_59_01_301__1.png  \n",
            " extracting: train/design_2020-01-31 09_03_40_167__1.png  \n",
            " extracting: train/design_2020-01-31 09_16_35_912__1.png  \n",
            "  inflating: train/design_2020-01-31 09_23_27_533__1.png  \n",
            "  inflating: train/design_2020-01-31 09_24_22_854__1.png  \n",
            " extracting: train/design_2020-01-31 09_50_20_571__1.png  \n",
            "  inflating: train/design_2020-01-31 09_53_49_486__1.png  \n",
            "  inflating: train/design_2020-01-31 10_02_51_640__1.png  \n",
            "  inflating: train/design_2020-01-31 10_05_26_965__1.png  \n",
            "  inflating: train/design_2020-01-31 10_10_16_429__1.png  \n",
            " extracting: train/design_2020-01-31 10_13_58_935__1.png  \n",
            "  inflating: train/design_2020-01-31 10_21_51_870__1.png  \n",
            "  inflating: train/design_2020-01-31 10_22_32_082__1.png  \n",
            "  inflating: train/design_2020-01-31 10_29_09_816__1.png  \n",
            "  inflating: train/design_2020-01-31 10_29_59_752__1.png  \n",
            "  inflating: train/design_2020-01-31 10_38_03_573__1.png  \n",
            "  inflating: train/design_2020-01-31 10_39_19_644__1.png  \n",
            "  inflating: train/design_2020-01-31 10_40_15_816__1.png  \n",
            " extracting: train/design_2020-01-31 10_51_31_212__1.png  \n",
            " extracting: train/design_2020-01-31 10_56_21_457__1.png  \n",
            "  inflating: train/design_2020-01-31 11_02_17_933__1.png  \n",
            " extracting: train/design_2020-01-31 11_33_09_328__1.png  \n",
            " extracting: train/design_2020-01-31 11_37_50_971__1.png  \n",
            "  inflating: train/design_2020-01-31 11_44_15_968__1.png  \n",
            " extracting: train/design_2020-01-31 11_46_28_457__1.png  \n",
            "  inflating: train/design_2020-01-31 11_50_08_188__1.png  \n",
            "  inflating: train/design_2020-01-31 12_08_39_420__1.png  \n",
            " extracting: train/design_2020-01-31 12_16_08_575__1.png  \n",
            "  inflating: train/design_2020-01-31 12_16_12_252__1.png  \n",
            "  inflating: train/design_2020-01-31 12_33_19_462__1.png  \n",
            "  inflating: train/design_2020-01-31 12_38_05_174__1.png  \n",
            " extracting: train/design_2020-01-31 12_51_47_395__1.png  \n",
            "  inflating: train/design_2020-01-31 13_00_58_589__1.png  \n",
            " extracting: train/design_2020-01-31 13_06_33_491__1.png  \n",
            "  inflating: train/design_2020-01-31 13_14_21_954__1.png  \n",
            "  inflating: train/design_2020-01-31 13_22_49_150__1.png  \n",
            " extracting: train/design_2020-01-31 13_26_49_970__1.png  \n",
            "  inflating: train/design_2020-01-31 13_29_17_949__1.png  \n",
            " extracting: train/design_2020-01-31 13_31_11_130__1.png  \n",
            " extracting: train/design_2020-01-31 13_34_32_250__1.png  \n",
            "  inflating: train/design_2020-01-31 13_45_19_424__1.png  \n",
            "  inflating: train/design_2020-01-31 14_03_52_614__1.png  \n",
            " extracting: train/design_2020-01-31 14_20_02_246__1.png  \n",
            "  inflating: train/design_2020-01-31 14_22_23_056__1.png  \n",
            " extracting: train/design_2020-01-31 14_22_33_995__1.png  \n",
            "  inflating: train/design_2020-01-31 14_29_48_472__1.png  \n",
            "  inflating: train/design_2020-01-31 14_41_18_850__1.png  \n",
            "  inflating: train/design_2020-01-31 14_44_36_810__1.png  \n",
            "  inflating: train/design_2020-01-31 14_55_31_969__1.png  \n",
            "  inflating: train/design_2020-01-31 15_13_59_632__1.png  \n",
            " extracting: train/design_2020-01-31 15_16_44_083__1.png  \n",
            " extracting: train/design_2020-01-31 15_17_04_446__1.png  \n",
            " extracting: train/design_2020-01-31 15_36_14_236__1.png  \n",
            " extracting: train/design_2020-01-31 15_44_46_291__1.png  \n",
            "  inflating: train/design_2020-01-31 15_51_19_024__1.png  \n",
            " extracting: train/design_2020-01-31 16_29_23_884__1.png  \n",
            " extracting: train/design_2020-01-31 16_30_28_829__1.png  \n",
            "  inflating: train/design_2020-01-31 16_39_46_403__1.png  \n",
            "  inflating: train/design_2020-01-31 16_41_37_779__1.png  \n",
            "  inflating: train/design_2020-01-31 17_01_52_295__1.png  \n",
            "  inflating: train/design_2020-01-31 17_02_53_097__1.png  \n",
            "  inflating: train/design_2020-01-31 17_23_46_352__1.png  \n",
            " extracting: train/design_2020-01-31 17_24_50_132__1.png  \n",
            "  inflating: train/design_2020-01-31 17_33_50_424__1.png  \n",
            " extracting: train/design_2020-01-31 17_42_06_883__1.png  \n",
            "  inflating: train/design_2020-01-31 17_45_54_258__1.png  \n",
            " extracting: train/design_2020-01-31 17_46_46_062__1.png  \n",
            " extracting: train/design_2020-01-31 17_57_13_657__1.png  \n",
            " extracting: train/design_2020-01-31 18_00_03_632__1.png  \n",
            " extracting: train/design_2020-01-31 18_04_17_435__1.png  \n",
            "  inflating: train/design_2020-01-31 18_07_37_482__1.png  \n",
            "  inflating: train/design_2020-01-31 18_07_44_187__1.png  \n",
            " extracting: train/design_2020-01-31 18_08_13_545__1.png  \n",
            " extracting: train/design_2020-01-31 18_14_28_813__1.png  \n",
            " extracting: train/design_2020-01-31 18_41_30_553__1.png  \n",
            "  inflating: train/design_2020-01-31 18_44_16_572__1.png  \n",
            "  inflating: train/design_2020-01-31 18_51_57_070__1.png  \n",
            " extracting: train/design_2020-01-31 19_02_37_943__1.png  \n",
            " extracting: train/design_2020-01-31 19_09_27_816__1.png  \n",
            "  inflating: train/design_2020-01-31 19_12_23_830__1.png  \n",
            " extracting: train/design_2020-01-31 19_24_56_227__1.png  \n",
            " extracting: train/design_2020-01-31 19_30_32_344__1.png  \n",
            " extracting: train/design_2020-01-31 19_47_11_130__1.png  \n",
            "  inflating: train/design_2020-01-31 19_55_06_794__1.png  \n",
            "  inflating: train/design_2020-01-31 20_05_58_558__1.png  \n",
            " extracting: train/design_2020-01-31 20_19_29_039__1.png  \n",
            " extracting: train/design_2020-01-31 20_25_01_663__1.png  \n",
            " extracting: train/design_2020-01-31 20_47_39_256__1.png  \n",
            "  inflating: train/design_2020-01-31 21_01_29_553__1.png  \n",
            " extracting: train/design_2020-01-31 21_14_34_069__1.png  \n",
            "  inflating: train/design_2020-01-31 21_16_30_398__1.png  \n",
            "  inflating: train/design_2020-01-31 21_29_58_183__1.png  \n",
            " extracting: train/design_2020-01-31 21_41_06_479__1.png  \n",
            "  inflating: train/design_2020-01-31 21_41_27_965__1.png  \n",
            "  inflating: train/design_2020-01-31 21_43_14_681__1.png  \n",
            "  inflating: train/design_2020-01-31 21_45_44_946__1.png  \n",
            "  inflating: train/design_2020-01-31 21_54_31_422__1.png  \n",
            "  inflating: train/design_2020-01-31 21_56_41_265__1.png  \n",
            "  inflating: train/design_2020-01-31 21_59_57_765__1.png  \n",
            "  inflating: train/design_2020-01-31 22_06_08_618__1.png  \n",
            "  inflating: train/design_2020-01-31 22_09_24_642__1.png  \n",
            "  inflating: train/design_2020-01-31 22_13_52_402__1.png  \n",
            "  inflating: train/design_2020-01-31 22_19_45_243__1.png  \n",
            "  inflating: train/design_2020-01-31 22_25_22_885__1.png  \n",
            "  inflating: train/design_2020-01-31 22_29_37_113__1.png  \n",
            "  inflating: train/design_2020-01-31 22_34_08_856__1.png  \n",
            "  inflating: train/design_2020-01-31 22_38_50_358__1.png  \n",
            " extracting: train/design_2020-02-03 11_25_17_137.png  \n",
            " extracting: train/design_2020-02-03 11_30_48_844.png  \n",
            " extracting: train/design_2020-02-03 14_22_10_380.png  \n",
            "  inflating: train/design_2020-02-03 14_32_18_376.png  \n",
            " extracting: train/design_2020-02-03 14_32_34_954.png  \n",
            "  inflating: train/design_2020-02-03 14_32_54_422.png  \n",
            "  inflating: train/design_2020-02-03 14_33_05_813.png  \n",
            " extracting: train/design_2020-02-03 14_54_00_047.png  \n",
            "  inflating: train/design_2020-02-03 14_54_44_442.png  \n",
            " extracting: train/design_2020-02-03 14_55_05_598.png  \n",
            "  inflating: train/design_2020-02-03 15_06_13_133.png  \n",
            " extracting: train/design_2020-02-03 15_08_15_671.png  \n",
            " extracting: train/design_2020-02-03 15_15_30_972.png  \n",
            " extracting: train/design_2020-02-03 15_36_23_172.png  \n",
            "  inflating: train/design_2020-02-03 15_37_07_060.png  \n",
            "  inflating: train/design_2020-02-03 15_37_30_739.png  \n",
            "  inflating: train/design_2020-02-03 15_37_36_050.png  \n",
            " extracting: train/design_2020-02-03 15_38_36_639.png  \n",
            " extracting: train/design_2020-02-03 15_47_57_009.png  \n",
            "  inflating: train/design_2020-02-03 15_48_42_753.png  \n",
            "  inflating: train/design_2020-02-03 15_51_49_118.png  \n",
            " extracting: train/design_2020-02-03 15_59_16_067.png  \n",
            "  inflating: train/design_2020-02-03 16_10_31_948.png  \n",
            "  inflating: train/design_2020-02-03 16_13_19_022.png  \n",
            "  inflating: train/design_2020-02-03 16_20_24_807.png  \n",
            "  inflating: train/design_2020-02-03 16_21_28_858.png  \n",
            " extracting: train/design_2020-02-03 16_25_32_478.png  \n",
            "  inflating: train/design_2020-02-03 17_01_54_331.png  \n",
            "  inflating: train/design_2020-02-03 17_03_16_057.png  \n",
            " extracting: train/design_2020-02-03 17_13_11_592.png  \n",
            "  inflating: train/design_2020-02-03 17_14_08_723.png  \n",
            "  inflating: train/design_2020-02-03 17_17_00_618.png  \n",
            " extracting: train/design_2020-02-03 17_24_07_605.png  \n",
            "  inflating: train/design_2020-02-03 17_38_57_248.png  \n",
            " extracting: train/design_2020-02-03 17_41_16_527.png  \n",
            " extracting: train/design_2020-02-03 17_45_20_741.png  \n",
            " extracting: train/design_2020-02-03 17_52_26_344.png  \n",
            " extracting: train/design_2020-02-03 18_06_31_635.png  \n",
            " extracting: train/design_2020-02-03 18_18_37_516.png  \n",
            "  inflating: train/design_2020-02-03 18_21_01_672.png  \n",
            " extracting: train/design_2020-02-03 18_22_55_499.png  \n",
            " extracting: train/design_2020-02-03 18_26_04_885.png  \n",
            " extracting: train/design_2020-02-03 18_27_54_825.png  \n",
            "  inflating: train/design_2020-02-03 18_43_12_390.png  \n",
            " extracting: train/design_2020-02-03 18_45_09_999.png  \n",
            "  inflating: train/design_2020-02-03 19_07_15_620.png  \n",
            "  inflating: train/design_2020-02-03 19_10_32_284.png  \n",
            "  inflating: train/design_2020-02-03 19_12_39_402.png  \n",
            "  inflating: train/design_2020-02-03 19_19_13_874.png  \n",
            "  inflating: train/design_2020-02-03 19_23_28_687.png  \n",
            "  inflating: train/design_2020-02-03 19_26_07_284.png  \n",
            " extracting: train/design_2020-02-03 19_27_25_973.png  \n",
            " extracting: train/design_2020-02-03 19_28_09_736.png  \n",
            "  inflating: train/design_2020-02-03 19_52_16_454.png  \n",
            "  inflating: train/design_2020-02-03 19_52_41_334.png  \n",
            "  inflating: train/design_2020-02-03 19_52_47_125.png  \n",
            "  inflating: train/design_2020-02-03 19_54_51_398.png  \n",
            "  inflating: train/design_2020-02-03 19_56_16_831.png  \n",
            " extracting: train/design_2020-02-03 20_06_00_657.png  \n",
            "  inflating: train/design_2020-02-03 20_10_18_245.png  \n",
            " extracting: train/design_2020-02-03 20_17_52_600.png  \n",
            "  inflating: train/design_2020-02-03 20_31_38_536.png  \n",
            " extracting: train/design_2020-02-03 20_33_41_638.png  \n",
            " extracting: train/design_2020-02-03 20_36_36_892.png  \n",
            " extracting: train/design_2020-02-03 20_39_11_874.png  \n",
            "  inflating: train/design_2020-02-03 20_40_14_361.png  \n",
            "  inflating: train/design_2020-02-03 20_46_12_300.png  \n",
            " extracting: train/design_2020-02-03 20_54_43_448.png  \n",
            " extracting: train/design_2020-02-03 20_56_28_383.png  \n",
            "  inflating: train/design_2020-02-03 21_12_23_050.png  \n",
            " extracting: train/design_2020-02-03 21_12_37_248.png  \n",
            " extracting: train/design_2020-02-03 21_15_41_987.png  \n",
            " extracting: train/design_2020-02-03 21_17_59_086.png  \n",
            "  inflating: train/design_2020-02-03 21_20_51_571.png  \n",
            "  inflating: train/design_2020-02-03 21_36_24_421.png  \n",
            "  inflating: train/design_2020-02-03 21_37_55_255.png  \n",
            "  inflating: train/design_2020-02-03 21_44_19_408.png  \n",
            " extracting: train/design_2020-02-03 21_52_35_544.png  \n",
            "  inflating: train/design_2020-02-03 21_57_22_822.png  \n",
            "  inflating: train/design_2020-02-03 21_57_26_789.png  \n",
            "  inflating: train/design_2020-02-03 21_59_04_365.png  \n",
            "  inflating: train/design_2020-02-03 22_00_03_317.png  \n",
            " extracting: train/design_2020-02-03 22_03_24_901.png  \n",
            " extracting: train/design_2020-02-03 22_14_08_763.png  \n",
            "  inflating: train/design_2020-02-03 22_18_08_396.png  \n",
            " extracting: train/design_2020-02-03 22_20_14_946.png  \n",
            "  inflating: train/design_2020-02-03 22_39_34_177.png  \n",
            " extracting: train/design_2020-02-03 22_41_54_083.png  \n",
            " extracting: train/design_2020-02-03 22_44_41_039.png  \n",
            " extracting: train/design_2020-02-03 22_47_30_904.png  \n",
            " extracting: train/design_2020-02-03 22_50_32_240.png  \n",
            "  inflating: train/design_2020-02-03 23_10_12_775.png  \n",
            " extracting: train/design_2020-02-03 23_12_02_137.png  \n",
            "  inflating: train/design_2020-02-03 23_17_39_488.png  \n",
            "  inflating: train/design_2020-02-03 23_18_46_879.png  \n",
            "  inflating: train/design_2020-02-03 23_21_18_578.png  \n",
            "  inflating: train/design_2020-02-03 23_25_44_251.png  \n",
            "  inflating: train/design_2020-02-03 23_39_09_911.png  \n",
            "  inflating: train/design_2020-02-03 23_46_43_155.png  \n",
            "  inflating: train/design_2020-02-03 23_54_42_371.png  \n",
            "  inflating: train/design_2020-02-04 00_05_51_186.png  \n",
            " extracting: train/design_2020-02-04 00_06_01_114.png  \n",
            " extracting: train/design_2020-02-04 00_15_57_517.png  \n",
            "  inflating: train/design_2020-02-04 00_19_02_433.png  \n",
            "  inflating: train/design_2020-02-04 00_21_58_975.png  \n",
            "  inflating: train/design_2020-02-04 00_29_43_409.png  \n",
            "  inflating: train/design_2020-02-04 00_37_52_871.png  \n",
            "  inflating: train/design_2020-02-04 00_43_28_777.png  \n",
            " extracting: train/design_2020-02-04 00_51_30_855.png  \n",
            "  inflating: train/design_2020-02-04 00_54_42_454.png  \n",
            "  inflating: train/design_2020-02-04 01_00_37_517.png  \n",
            "  inflating: train/design_2020-02-04 01_03_46_558.png  \n",
            "  inflating: train/design_2020-02-04 01_34_30_314.png  \n",
            " extracting: train/design_2020-02-04 01_41_42_527.png  \n",
            "  inflating: train/design_2020-02-04 01_42_52_013.png  \n",
            "  inflating: train/design_2020-02-04 01_55_48_797.png  \n",
            "  inflating: train/design_2020-02-04 01_56_19_844.png  \n",
            "  inflating: train/design_2020-02-04 01_57_11_463.png  \n",
            "  inflating: train/design_2020-02-04 01_59_59_297.png  \n",
            "  inflating: train/design_2020-02-04 02_16_30_407.png  \n",
            "  inflating: train/design_2020-02-04 02_17_08_650.png  \n",
            " extracting: train/design_2020-02-04 02_22_57_723.png  \n",
            "  inflating: train/design_2020-02-04 02_25_47_784.png  \n",
            "  inflating: train/design_2020-02-04 02_38_14_206.png  \n",
            " extracting: train/design_2020-02-04 02_59_56_553.png  \n",
            "  inflating: train/design_2020-02-04 03_18_49_651.png  \n",
            "  inflating: train/design_2020-02-04 03_20_48_613.png  \n",
            "  inflating: train/design_2020-02-04 03_21_22_007.png  \n",
            "  inflating: train/design_2020-02-04 03_30_48_488.png  \n",
            " extracting: train/design_2020-02-04 03_32_23_408.png  \n",
            "  inflating: train/design_2020-02-04 03_32_29_755.png  \n",
            "  inflating: train/design_2020-02-04 03_36_00_484.png  \n",
            "  inflating: train/design_2020-02-04 03_36_03_900.png  \n",
            "  inflating: train/design_2020-02-04 03_41_02_526.png  \n",
            "  inflating: train/design_2020-02-04 03_52_27_158.png  \n",
            "  inflating: train/design_2020-02-04 04_03_32_647.png  \n",
            " extracting: train/design_2020-02-04 04_04_11_605.png  \n",
            "  inflating: train/design_2020-02-04 04_23_46_446.png  \n",
            "  inflating: train/design_2020-02-04 04_25_50_284.png  \n",
            "  inflating: train/design_2020-02-04 04_31_16_081.png  \n",
            "  inflating: train/design_2020-02-04 04_47_33_296.png  \n",
            "  inflating: train/design_2020-02-04 05_06_38_010.png  \n",
            "  inflating: train/design_2020-02-04 05_12_58_309.png  \n",
            " extracting: train/design_2020-02-04 05_40_12_743.png  \n",
            "  inflating: train/design_2020-02-04 05_43_48_287.png  \n",
            " extracting: train/design_2020-02-04 06_01_23_400.png  \n",
            "  inflating: train/design_2020-02-04 06_10_17_395.png  \n",
            " extracting: train/design_2020-02-04 06_10_42_813.png  \n",
            " extracting: train/design_2020-02-04 06_12_24_685.png  \n",
            "  inflating: train/design_2020-02-04 06_13_02_582.png  \n",
            "  inflating: train/design_2020-02-04 06_15_00_945.png  \n",
            " extracting: train/design_2020-02-04 06_20_59_127.png  \n",
            " extracting: train/design_2020-02-04 06_22_07_781.png  \n",
            "  inflating: train/design_2020-02-04 06_24_22_707.png  \n",
            "  inflating: train/design_2020-02-04 06_34_04_866.png  \n",
            "  inflating: train/design_2020-02-04 06_43_10_481.png  \n",
            "  inflating: train/design_2020-02-04 06_45_00_477.png  \n",
            "  inflating: train/design_2020-02-04 06_45_21_851.png  \n",
            "  inflating: train/design_2020-02-04 06_53_12_123.png  \n",
            " extracting: train/design_2020-02-04 07_04_17_608.png  \n",
            "  inflating: train/design_2020-02-04 07_17_32_958.png  \n",
            "  inflating: train/design_2020-02-04 07_19_11_358.png  \n",
            " extracting: train/design_2020-02-04 07_20_41_584.png  \n",
            " extracting: train/design_2020-02-04 07_25_15_676.png  \n",
            " extracting: train/design_2020-02-04 07_27_28_021.png  \n",
            "  inflating: train/design_2020-02-04 07_39_24_519.png  \n",
            "  inflating: train/design_2020-02-04 07_47_02_413.png  \n",
            "  inflating: train/design_2020-02-04 07_49_41_499.png  \n",
            " extracting: train/design_2020-02-04 08_01_19_766.png  \n",
            "  inflating: train/design_2020-02-04 08_11_13_443.png  \n",
            " extracting: train/design_2020-02-04 08_12_17_132.png  \n",
            "  inflating: train/design_2020-02-04 08_23_58_965.png  \n",
            "  inflating: train/design_2020-02-04 08_32_35_564.png  \n",
            " extracting: train/design_2020-02-04 08_37_32_506.png  \n",
            "  inflating: train/design_2020-02-04 08_43_47_193.png  \n",
            "  inflating: train/design_2020-02-04 08_51_29_733.png  \n",
            " extracting: train/design_2020-02-04 08_54_26_012.png  \n",
            "  inflating: train/design_2020-02-04 08_54_40_940.png  \n",
            "  inflating: train/design_2020-02-04 09_02_32_922.png  \n",
            " extracting: train/design_2020-02-04 09_16_25_296.png  \n",
            " extracting: train/design_2020-02-04 09_19_48_173.png  \n",
            "  inflating: train/design_2020-02-04 09_43_35_069.png  \n",
            "  inflating: train/design_2020-02-04 09_59_01_655.png  \n",
            " extracting: train/design_2020-02-04 10_02_08_583.png  \n",
            " extracting: train/design_2020-02-04 10_20_54_929.png  \n",
            " extracting: train/design_2020-02-04 10_35_34_763.png  \n",
            " extracting: train/design_2020-02-04 10_42_33_543.png  \n",
            "  inflating: train/design_2020-02-04 10_46_56_526.png  \n",
            "  inflating: train/design_2020-02-04 10_52_45_075.png  \n",
            " extracting: train/design_2020-02-04 10_56_39_387.png  \n",
            " extracting: train/design_2020-02-04 10_58_05_375.png  \n",
            " extracting: train/design_2020-02-04 11_09_10_275.png  \n",
            "  inflating: train/design_2020-02-04 11_14_26_690.png  \n",
            "  inflating: train/design_2020-02-04 11_31_38_821.png  \n",
            "  inflating: train/design_2020-02-04 11_36_56_358.png  \n",
            "  inflating: train/design_2020-02-04 11_42_48_227.png  \n",
            " extracting: train/design_2020-02-04 11_44_01_497.png  \n",
            " extracting: train/design_2020-02-04 11_48_31_803.png  \n",
            " extracting: train/design_2020-02-04 11_53_51_942.png  \n",
            " extracting: train/design_2020-02-04 12_10_35_606.png  \n",
            "  inflating: train/design_2020-02-04 12_16_16_652.png  \n",
            " extracting: train/design_2020-02-04 12_27_19_587.png  \n",
            "  inflating: train/design_2020-02-04 12_32_26_467.png  \n",
            "  inflating: train/design_2020-02-04 13_05_45_858.png  \n",
            " extracting: train/design_2020-02-04 13_10_11_546.png  \n",
            " extracting: train/design_2020-02-04 13_14_41_319.png  \n",
            " extracting: train/design_2020-02-04 13_34_18_687.png  \n",
            " extracting: train/design_2020-02-04 13_36_02_900.png  \n",
            " extracting: train/design_2020-02-04 13_47_08_823.png  \n",
            " extracting: train/design_2020-02-04 13_47_41_877.png  \n",
            "  inflating: train/design_2020-02-04 13_49_50_639.png  \n",
            "  inflating: train/design_2020-02-04 13_52_26_991.png  \n",
            "  inflating: train/design_2020-02-04 13_57_58_752.png  \n",
            " extracting: train/design_2020-02-04 13_58_20_959.png  \n",
            "  inflating: train/design_2020-02-04 14_05_35_960.png  \n",
            "  inflating: train/design_2020-02-04 14_09_00_808.png  \n",
            " extracting: train/design_2020-02-04 14_09_31_798.png  \n",
            "  inflating: train/design_2020-02-04 14_20_10_718.png  \n",
            " extracting: train/design_2020-02-04 14_24_01_799.png  \n",
            " extracting: train/design_2020-02-04 14_35_04_530.png  \n",
            " extracting: train/design_2020-02-04 14_36_18_450.png  \n",
            " extracting: train/design_2020-02-04 14_36_48_946.png  \n",
            " extracting: train/design_2020-02-04 14_46_41_434.png  \n",
            " extracting: train/design_2020-02-04 15_05_18_578.png  \n",
            " extracting: train/design_2020-02-04 15_20_54_215.png  \n",
            "  inflating: train/design_2020-02-04 15_28_16_630.png  \n",
            "  inflating: train/design_2020-02-04 15_31_18_770.png  \n",
            " extracting: train/design_2020-02-04 15_35_01_697.png  \n",
            " extracting: train/design_2020-02-04 15_39_15_621.png  \n",
            "  inflating: train/design_2020-02-04 15_42_03_253.png  \n",
            " extracting: train/design_2020-02-04 15_52_38_153.png  \n",
            "  inflating: train/design_2020-02-04 15_53_09_476.png  \n",
            " extracting: train/design_2020-02-04 16_02_19_647.png  \n",
            " extracting: train/design_2020-02-04 16_03_28_332.png  \n",
            "  inflating: train/design_2020-02-04 16_04_04_284.png  \n",
            "  inflating: train/design_2020-02-04 16_25_53_018.png  \n",
            "  inflating: train/design_2020-02-04 16_35_11_124.png  \n",
            " extracting: train/design_2020-02-04 16_38_53_275.png  \n",
            "  inflating: train/design_2020-02-04 17_06_54_107.png  \n",
            " extracting: train/design_2020-02-04 17_12_48_665.png  \n",
            "  inflating: train/design_2020-02-04 17_19_44_682.png  \n",
            " extracting: train/design_2020-02-04 17_24_31_152.png  \n",
            "  inflating: train/design_2020-02-04 17_35_16_770.png  \n",
            " extracting: train/design_2020-02-04 17_36_10_783.png  \n",
            " extracting: train/design_2020-02-04 17_46_52_718.png  \n",
            " extracting: train/design_2020-02-06 10_23_18_006.png  \n",
            "  inflating: train/design_2020-02-06 10_45_00_982.png  \n",
            "  inflating: train/design_2020-02-06 10_45_12_277.png  \n",
            "  inflating: train/design_2020-02-06 10_45_14_329.png  \n",
            " extracting: train/design_2020-02-06 10_47_49_425.png  \n",
            " extracting: train/design_2020-02-06 10_56_21_802.png  \n",
            " extracting: train/design_2020-02-06 10_58_41_471.png  \n",
            "  inflating: train/design_2020-02-06 11_04_48_769.png  \n",
            "  inflating: train/design_2020-02-06 11_06_10_180.png  \n",
            "  inflating: train/design_2020-02-06 11_07_02_118.png  \n",
            " extracting: train/design_2020-02-06 11_07_18_876.png  \n",
            " extracting: train/design_2020-02-06 11_17_25_742.png  \n",
            " extracting: train/design_2020-02-06 11_20_13_686.png  \n",
            " extracting: train/design_2020-02-06 11_28_42_193.png  \n",
            "  inflating: train/design_2020-02-06 11_39_20_998.png  \n",
            "  inflating: train/design_2020-02-06 11_48_43_033.png  \n",
            "  inflating: train/design_2020-02-06 11_58_42_303.png  \n",
            " extracting: train/design_2020-02-06 11_59_39_019.png  \n",
            "  inflating: train/design_2020-02-06 12_14_28_381.png  \n",
            " extracting: train/design_2020-02-06 12_22_21_617.png  \n",
            "  inflating: train/design_2020-02-06 12_31_33_148.png  \n",
            "  inflating: train/design_2020-02-06 12_32_58_192.png  \n",
            "  inflating: train/design_2020-02-06 12_35_08_516.png  \n",
            " extracting: train/design_2020-02-06 12_41_41_205.png  \n",
            " extracting: train/design_2020-02-06 12_41_53_937.png  \n",
            " extracting: train/design_2020-02-06 12_43_12_024.png  \n",
            "  inflating: train/design_2020-02-06 12_48_10_985.png  \n",
            "  inflating: train/design_2020-02-06 12_50_18_773.png  \n",
            " extracting: train/design_2020-02-06 13_03_07_204.png  \n",
            " extracting: train/design_2020-02-06 13_05_09_398.png  \n",
            "  inflating: train/design_2020-02-06 13_13_50_661.png  \n",
            " extracting: train/design_2020-02-06 13_15_18_926.png  \n",
            "  inflating: train/design_2020-02-06 13_16_17_117.png  \n",
            " extracting: train/design_2020-02-06 13_24_52_432.png  \n",
            " extracting: train/design_2020-02-06 13_27_05_833.png  \n",
            " extracting: train/design_2020-02-06 13_34_39_947.png  \n",
            " extracting: train/design_2020-02-06 13_47_22_519.png  \n",
            "  inflating: train/design_2020-02-06 13_55_52_021.png  \n",
            " extracting: train/design_2020-02-06 13_57_08_528.png  \n",
            "  inflating: train/design_2020-02-06 14_00_00_097.png  \n",
            " extracting: train/design_2020-02-06 14_07_06_503.png  \n",
            " extracting: train/design_2020-02-06 14_16_30_292.png  \n",
            " extracting: train/design_2020-02-06 14_18_56_749.png  \n",
            " extracting: train/design_2020-02-06 14_20_15_257.png  \n",
            " extracting: train/design_2020-02-06 15_01_33_060.png  \n",
            " extracting: train/design_2020-02-06 15_25_05_006.png  \n",
            "  inflating: train/design_2020-02-06 15_38_11_344.png  \n",
            " extracting: train/design_2020-02-06 17_03_30_770.png  \n",
            "  inflating: train/design_2020-02-06 17_18_13_353.png  \n",
            " extracting: train/design_2020-02-06 17_46_29_570.png  \n",
            " extracting: train/design_2020-02-06 18_06_56_939.png  \n",
            " extracting: train/design_2020-02-06 18_22_04_945.png  \n",
            "  inflating: train/design_2020-02-06 18_28_33_055.png  \n",
            "  inflating: train/design_2020-02-06 18_39_23_673.png  \n",
            " extracting: train/design_2020-02-06 18_44_06_974.png  \n",
            " extracting: train/design_2020-02-06 19_28_58_019.png  \n",
            " extracting: train/design_2020-02-06 19_48_06_786.png  \n",
            " extracting: train/design_2020-02-06 19_52_41_256.png  \n",
            " extracting: train/design_2020-02-06 20_03_42_305.png  \n",
            " extracting: train/design_2020-02-06 20_17_42_066.png  \n",
            " extracting: train/design_2020-02-06 20_19_23_246.png  \n",
            " extracting: train/design_2020-02-06 20_28_49_213.png  \n",
            " extracting: train/design_2020-02-06 20_45_03_324.png  \n",
            " extracting: train/design_2020-02-06 20_45_49_514.png  \n",
            " extracting: train/design_2020-02-06 20_54_33_548.png  \n",
            " extracting: train/design_2020-02-06 20_57_07_406.png  \n",
            " extracting: train/design_2020-02-06 21_05_02_776.png  \n",
            " extracting: train/design_2020-02-06 21_09_30_935.png  \n",
            "  inflating: train/design_2020-02-06 21_27_05_353.png  \n",
            " extracting: train/design_2020-02-06 21_29_59_029.png  \n",
            "  inflating: train/design_2020-02-06 21_30_12_346.png  \n",
            "  inflating: train/design_2020-02-06 21_38_10_624.png  \n",
            " extracting: train/design_2020-02-06 21_41_32_751.png  \n",
            " extracting: train/design_2020-02-06 21_57_07_535.png  \n",
            " extracting: train/design_2020-02-06 22_01_53_131.png  \n",
            " extracting: train/design_2020-02-06 22_07_49_847.png  \n",
            "  inflating: train/design_2020-02-06 22_17_45_941.png  \n",
            "  inflating: train/design_2020-02-06 22_22_21_253.png  \n",
            "  inflating: train/design_2020-02-06 22_23_09_106.png  \n",
            " extracting: train/design_2020-02-06 22_39_30_143.png  \n",
            " extracting: train/design_2020-02-06 22_43_33_820.png  \n",
            "  inflating: train/design_2020-02-06 22_51_50_255.png  \n",
            "  inflating: train/design_2020-02-06 23_18_05_438.png  \n",
            "  inflating: train/design_2020-02-06 23_22_27_260.png  \n",
            "  inflating: train/design_2020-02-06 23_25_15_180.png  \n",
            "  inflating: train/design_2020-02-07 00_05_03_887.png  \n",
            "  inflating: train/design_2020-02-07 00_10_33_021.png  \n",
            " extracting: train/design_2020-02-07 00_13_23_994.png  \n",
            " extracting: train/design_2020-02-07 00_40_45_384.png  \n",
            " extracting: train/design_2020-02-07 00_43_13_636.png  \n",
            "  inflating: train/design_2020-02-07 00_46_58_774.png  \n",
            "  inflating: train/design_2020-02-07 01_02_09_947.png  \n",
            "  inflating: train/design_2020-02-07 01_06_02_255.png  \n",
            "  inflating: train/design_2020-02-07 01_44_34_023.png  \n",
            " extracting: train/design_2020-02-07 01_45_33_653.png  \n",
            " extracting: train/design_2020-02-07 01_48_39_943.png  \n",
            " extracting: train/design_2020-02-07 02_10_50_569.png  \n",
            "  inflating: train/design_2020-02-07 02_13_49_838.png  \n",
            "  inflating: train/design_2020-02-07 02_28_23_910.png  \n",
            " extracting: train/design_2020-02-07 02_32_30_837.png  \n",
            "  inflating: train/design_2020-02-07 02_35_23_330.png  \n",
            "  inflating: train/design_2020-02-07 02_36_41_603.png  \n",
            "  inflating: train/design_2020-02-07 02_48_10_096.png  \n",
            "  inflating: train/design_2020-02-07 02_52_44_835.png  \n",
            " extracting: train/design_2020-02-07 02_53_11_693.png  \n",
            " extracting: train/design_2020-02-07 03_05_55_646.png  \n",
            "  inflating: train/design_2020-02-07 03_11_35_708.png  \n",
            "  inflating: train/design_2020-02-07 03_14_48_199.png  \n",
            " extracting: train/design_2020-02-07 03_17_12_143.png  \n",
            " extracting: train/design_2020-02-07 03_17_38_001.png  \n",
            " extracting: train/design_2020-02-07 03_18_15_592.png  \n",
            "  inflating: train/design_2020-02-07 03_19_48_000.png  \n",
            " extracting: train/design_2020-02-07 03_23_23_498.png  \n",
            "  inflating: train/design_2020-02-07 03_25_16_447.png  \n",
            " extracting: train/design_2020-02-07 03_31_46_560.png  \n",
            "  inflating: train/design_2020-02-07 03_35_42_905.png  \n",
            " extracting: train/design_2020-02-07 03_39_29_762.png  \n",
            " extracting: train/design_2020-02-07 03_39_32_939.png  \n",
            "  inflating: train/design_2020-02-07 03_40_54_984.png  \n",
            " extracting: train/design_2020-02-07 03_44_23_810.png  \n",
            " extracting: train/design_2020-02-07 03_44_57_762.png  \n",
            "  inflating: train/design_2020-02-07 03_52_38_865.png  \n",
            " extracting: train/design_2020-02-07 03_53_02_991.png  \n",
            " extracting: train/design_2020-02-07 03_55_14_512.png  \n",
            "  inflating: train/design_2020-02-07 03_56_50_716.png  \n",
            " extracting: train/design_2020-02-07 04_01_20_169.png  \n",
            "  inflating: train/design_2020-02-07 04_02_32_252.png  \n",
            " extracting: train/design_2020-02-07 04_14_39_210.png  \n",
            "  inflating: train/design_2020-02-07 04_18_40_331.png  \n",
            "  inflating: train/design_2020-02-07 04_23_32_159.png  \n",
            "  inflating: train/design_2020-02-07 04_27_41_285.png  \n",
            "  inflating: train/design_2020-02-07 04_34_09_200.png  \n",
            " extracting: train/design_2020-02-07 04_38_30_240.png  \n",
            "  inflating: train/design_2020-02-07 04_39_18_968.png  \n",
            " extracting: train/design_2020-02-07 04_42_46_723.png  \n",
            "  inflating: train/design_2020-02-07 04_44_42_736.png  \n",
            " extracting: train/design_2020-02-07 04_45_14_567.png  \n",
            " extracting: train/design_2020-02-07 04_56_28_503.png  \n",
            " extracting: train/design_2020-02-07 04_56_40_778.png  \n",
            "  inflating: train/design_2020-02-07 04_59_32_798.png  \n",
            "  inflating: train/design_2020-02-07 05_01_27_109.png  \n",
            " extracting: train/design_2020-02-07 05_04_01_653.png  \n",
            "  inflating: train/design_2020-02-07 05_07_14_454.png  \n",
            " extracting: train/design_2020-02-07 05_18_22_503.png  \n",
            "  inflating: train/design_2020-02-07 05_18_23_667.png  \n",
            " extracting: train/design_2020-02-07 05_21_00_761.png  \n",
            "  inflating: train/design_2020-02-07 05_51_23_068.png  \n",
            "  inflating: train/design_2020-02-07 06_00_48_157.png  \n",
            "  inflating: train/design_2020-02-07 06_02_15_131.png  \n",
            " extracting: train/design_2020-02-07 06_02_58_713.png  \n",
            "  inflating: train/design_2020-02-07 06_06_24_447.png  \n",
            "  inflating: train/design_2020-02-07 06_15_55_858.png  \n",
            " extracting: train/design_2020-02-07 06_21_23_558.png  \n",
            " extracting: train/design_2020-02-07 06_23_52_880.png  \n",
            "  inflating: train/design_2020-02-07 06_27_34_255.png  \n",
            "  inflating: train/design_2020-02-07 06_33_49_671.png  \n",
            "  inflating: train/design_2020-02-07 06_39_44_353.png  \n",
            " extracting: train/design_2020-02-07 06_42_36_639.png  \n",
            "  inflating: train/design_2020-02-07 06_48_49_301.png  \n",
            "  inflating: train/design_2020-02-07 06_51_16_326.png  \n",
            "  inflating: train/design_2020-02-07 06_55_42_007.png  \n",
            " extracting: train/design_2020-02-07 06_59_17_153.png  \n",
            "  inflating: train/design_2020-02-07 07_02_52_018.png  \n",
            "  inflating: train/design_2020-02-07 07_05_41_193.png  \n",
            "  inflating: train/design_2020-02-07 07_20_21_571.png  \n",
            "  inflating: train/design_2020-02-07 07_25_42_976.png  \n",
            " extracting: train/design_2020-02-07 07_27_41_764.png  \n",
            "  inflating: train/design_2020-02-07 07_31_37_896.png  \n",
            " extracting: train/design_2020-02-07 07_43_17_775.png  \n",
            " extracting: train/design_2020-02-07 07_53_02_073.png  \n",
            "  inflating: train/design_2020-02-07 08_00_17_651.png  \n",
            "  inflating: train/design_2020-02-07 08_07_23_701.png  \n",
            "  inflating: train/design_2020-02-07 08_08_02_652.png  \n",
            " extracting: train/design_2020-02-07 08_14_48_007.png  \n",
            "  inflating: train/design_2020-02-07 08_21_01_536.png  \n",
            "  inflating: train/design_2020-02-07 08_22_26_624.png  \n",
            "  inflating: train/design_2020-02-07 08_24_44_915.png  \n",
            "  inflating: train/design_2020-02-07 08_43_27_429.png  \n",
            "  inflating: train/design_2020-02-07 08_49_30_973.png  \n",
            "  inflating: train/design_2020-02-07 08_51_02_454.png  \n",
            " extracting: train/design_2020-02-07 08_54_16_822.png  \n",
            " extracting: train/design_2020-02-07 08_58_05_416.png  \n",
            " extracting: train/design_2020-02-07 09_05_22_237.png  \n",
            "  inflating: train/design_2020-02-07 09_06_57_221.png  \n",
            "  inflating: train/design_2020-02-07 09_07_28_910.png  \n",
            "  inflating: train/design_2020-02-07 09_16_28_048.png  \n",
            "  inflating: train/design_2020-02-07 09_17_52_097.png  \n",
            "  inflating: train/design_2020-02-07 09_27_36_849.png  \n",
            "  inflating: train/design_2020-02-07 09_28_35_105.png  \n",
            "  inflating: train/design_2020-02-07 09_38_35_907.png  \n",
            "  inflating: train/design_2020-02-07 09_49_33_280.png  \n",
            " extracting: train/design_2020-02-07 10_10_30_626.png  \n",
            " extracting: train/design_2020-02-07 10_22_32_807.png  \n",
            "  inflating: train/design_2020-02-07 10_56_13_775.png  \n",
            "  inflating: train/design_2020-02-07 11_07_38_243.png  \n",
            " extracting: train/design_2020-02-07 11_13_20_662.png  \n",
            " extracting: train/design_2020-02-07 11_15_56_965.png  \n",
            "  inflating: train/design_2020-02-07 11_18_45_731.png  \n",
            "  inflating: train/design_2020-02-07 11_36_32_083.png  \n",
            "  inflating: train/design_2020-02-07 11_49_56_639.png  \n",
            " extracting: train/design_2020-02-07 11_56_35_931.png  \n",
            "  inflating: train/design_2020-02-07 11_58_00_161.png  \n",
            " extracting: train/design_2020-02-07 11_59_26_982.png  \n",
            "  inflating: train/design_2020-02-07 12_07_41_038.png  \n",
            "  inflating: train/design_2020-02-07 12_20_45_608.png  \n",
            " extracting: train/design_2020-02-07 12_21_05_161.png  \n",
            "  inflating: train/design_2020-02-07 12_21_27_754.png  \n",
            "  inflating: train/design_2020-02-07 12_22_43_097.png  \n",
            "  inflating: train/design_2020-02-07 12_32_01_552.png  \n",
            "  inflating: train/design_2020-02-07 12_41_18_512.png  \n",
            " extracting: train/design_2020-02-07 12_42_09_970.png  \n",
            "  inflating: train/design_2020-02-07 12_42_14_730.png  \n",
            "  inflating: train/design_2020-02-07 12_44_15_602.png  \n",
            " extracting: train/design_2020-02-07 12_48_52_625.png  \n",
            " extracting: train/design_2020-02-07 12_59_56_190.png  \n",
            " extracting: train/design_2020-02-07 13_04_49_963.png  \n",
            " extracting: train/design_2020-02-07 13_24_45_179.png  \n",
            "  inflating: train/design_2020-02-07 13_24_51_874.png  \n",
            " extracting: train/design_2020-02-07 13_25_45_449.png  \n",
            "  inflating: train/design_2020-02-07 13_27_10_711.png  \n",
            "  inflating: train/design_2020-02-07 13_45_58_271.png  \n",
            "  inflating: train/design_2020-02-07 13_47_49_288.png  \n",
            " extracting: train/design_2020-02-07 13_56_29_231.png  \n",
            " extracting: train/design_2020-02-07 14_07_38_856.png  \n",
            "  inflating: train/design_2020-02-07 14_08_07_542.png  \n",
            " extracting: train/design_2020-02-07 14_08_43_898.png  \n",
            " extracting: train/design_2020-02-07 14_14_02_924.png  \n",
            "  inflating: train/design_2020-02-07 14_19_08_183.png  \n",
            "  inflating: train/design_2020-02-07 14_27_59_385.png  \n",
            " extracting: train/design_2020-02-07 14_29_00_062.png  \n",
            "  inflating: train/design_2020-02-07 14_50_06_392.png  \n",
            " extracting: train/design_2020-02-07 14_50_52_730.png  \n",
            "  inflating: train/design_2020-02-07 14_51_21_044.png  \n",
            "  inflating: train/design_2020-02-07 14_51_28_215.png  \n",
            " extracting: train/design_2020-02-07 14_57_37_252.png  \n",
            " extracting: train/design_2020-02-07 15_00_40_142.png  \n",
            "  inflating: train/design_2020-02-07 15_11_02_822.png  \n",
            " extracting: train/design_2020-02-07 15_19_02_873.png  \n",
            " extracting: train/design_2020-02-07 15_20_39_330.png  \n",
            "  inflating: train/design_2020-02-07 15_22_32_520.png  \n",
            "  inflating: train/design_2020-02-07 15_27_05_634.png  \n",
            "  inflating: train/design_2020-02-07 15_31_49_804.png  \n",
            " extracting: train/design_2020-02-07 15_48_26_239.png  \n",
            "  inflating: train/design_2020-02-07 15_54_35_468.png  \n",
            " extracting: train/design_2020-02-07 16_10_34_657.png  \n",
            "  inflating: train/design_2020-02-07 16_13_47_470.png  \n",
            "  inflating: train/design_2020-02-07 16_16_43_287.png  \n",
            " extracting: train/design_2020-02-07 16_25_09_211.png  \n",
            " extracting: train/design_2020-02-07 16_46_19_635.png  \n",
            " extracting: train/design_2020-02-07 16_53_54_885.png  \n",
            "  inflating: train/design_2020-02-07 16_59_13_738.png  \n",
            " extracting: train/design_2020-02-07 17_15_33_822.png  \n",
            " extracting: train/design_2020-02-07 17_48_36_005.png  \n",
            " extracting: train/design_2020-02-07 17_59_39_429.png  \n",
            "  inflating: train/design_2020-02-07 18_03_13_964.png  \n",
            "  inflating: train/design_2020-02-07 18_08_55_965.png  \n",
            " extracting: train/design_2020-02-07 18_10_40_969.png  \n",
            " extracting: train/design_2020-02-07 18_22_00_926.png  \n",
            "  inflating: train/design_2020-02-07 18_24_45_073.png  \n",
            "  inflating: train/design_2020-02-07 18_30_21_435.png  \n",
            "  inflating: train/design_2020-02-07 18_33_29_673.png  \n",
            " extracting: train/design_2020-02-07 18_41_04_361.png  \n",
            "  inflating: train/design_2020-02-07 18_44_28_723.png  \n",
            " extracting: train/design_2020-02-07 18_46_31_959.png  \n",
            "  inflating: train/design_2020-02-07 18_51_57_723.png  \n",
            "  inflating: train/design_2020-02-07 18_53_42_145.png  \n",
            " extracting: train/design_2020-02-07 18_57_20_769.png  \n",
            "  inflating: train/design_2020-02-07 19_05_20_201.png  \n",
            "  inflating: train/design_2020-02-07 19_06_22_288.png  \n",
            "  inflating: train/design_2020-02-07 19_28_15_365.png  \n",
            "  inflating: train/design_2020-02-07 19_36_14_317.png  \n",
            " extracting: train/design_2020-02-07 19_46_27_356.png  \n",
            " extracting: train/design_2020-02-07 19_57_30_853.png  \n",
            " extracting: train/design_2020-02-07 20_49_11_222.png  \n",
            "  inflating: train/design_2020-02-07 20_53_28_400.png  \n",
            "  inflating: train/design_2020-02-07 21_01_45_997.png  \n",
            " extracting: train/design_2020-02-07 21_06_34_533.png  \n",
            "  inflating: train/design_2020-02-07 21_14_32_815.png  \n",
            " extracting: train/design_2020-02-07 21_23_11_609.png  \n",
            "  inflating: train/design_2020-02-07 21_34_21_101.png  \n",
            " extracting: train/design_2020-02-07 21_45_13_001.png  \n",
            " extracting: train/design_2020-02-07 21_45_50_663.png  \n",
            " extracting: train/design_2020-02-07 22_06_46_452.png  \n",
            "  inflating: train/design_2020-02-07 22_18_11_605.png  \n",
            "  inflating: train/design_2020-02-07 22_25_09_175.png  \n",
            " extracting: train/design_2020-02-07 22_32_21_431.png  \n",
            " extracting: train/design_2020-02-07 22_40_11_479.png  \n",
            " extracting: train/design_2020-02-07 22_42_51_194.png  \n",
            " extracting: train/design_2020-02-07 23_11_41_854.png  \n",
            "  inflating: train/design_2020-02-07 23_20_08_324.png  \n",
            "  inflating: train/design_2020-02-07 23_30_22_017.png  \n",
            " extracting: train/design_2020-02-07 23_33_28_069.png  \n",
            " extracting: train/design_2020-02-07 23_33_42_456.png  \n",
            " extracting: train/design_2020-02-07 23_40_56_916.png  \n",
            "  inflating: train/design_2020-02-07 23_44_28_419.png  \n",
            "  inflating: train/design_2020-02-07 23_52_40_002.png  \n",
            " extracting: train/design_2020-02-08 00_03_53_623.png  \n",
            " extracting: train/design_2020-02-08 00_17_40_473.png  \n",
            " extracting: train/design_2020-02-08 00_27_08_712.png  \n",
            "  inflating: train/design_2020-02-08 00_35_21_449.png  \n",
            "  inflating: train/design_2020-02-08 00_38_15_372.png  \n",
            " extracting: train/design_2020-02-08 00_40_02_331.png  \n",
            " extracting: train/design_2020-02-08 00_48_23_690.png  \n",
            "  inflating: train/design_2020-02-08 00_56_35_774.png  \n",
            "  inflating: train/design_2020-02-08 01_07_39_308.png  \n",
            " extracting: train/design_2020-02-08 01_13_49_285.png  \n",
            " extracting: train/design_2020-02-08 01_23_20_830.png  \n",
            "  inflating: train/design_2020-02-08 01_38_24_641.png  \n",
            "  inflating: train/design_2020-02-08 01_41_05_227.png  \n",
            " extracting: train/design_2020-02-08 01_44_25_025.png  \n",
            "  inflating: train/design_2020-02-08 01_52_06_817.png  \n",
            " extracting: train/design_2020-02-08 02_03_10_806.png  \n",
            " extracting: train/design_2020-02-08 02_05_33_002.png  \n",
            "  inflating: train/design_2020-02-08 02_16_51_301.png  \n",
            "  inflating: train/design_2020-02-08 02_20_57_195.png  \n",
            "  inflating: train/design_2020-02-08 02_36_00_276.png  \n",
            "  inflating: train/design_2020-02-08 02_46_56_286.png  \n",
            "  inflating: train/design_2020-02-08 02_49_29_133.png  \n",
            "  inflating: train/design_2020-02-08 03_00_23_095.png  \n",
            "  inflating: train/design_2020-02-08 03_03_31_693.png  \n",
            "  inflating: train/design_2020-02-08 03_08_40_468.png  \n",
            " extracting: train/design_2020-02-08 03_26_07_943.png  \n",
            " extracting: train/design_2020-02-08 03_28_37_422.png  \n",
            " extracting: train/design_2020-02-08 03_39_38_418.png  \n",
            "  inflating: train/design_2020-02-08 03_44_33_485.png  \n",
            "  inflating: train/design_2020-02-08 03_50_54_001.png  \n",
            "  inflating: train/design_2020-02-08 03_52_48_911.png  \n",
            "  inflating: train/design_2020-02-08 04_18_13_615.png  \n",
            " extracting: train/design_2020-02-08 04_30_44_620.png  \n",
            "  inflating: train/design_2020-02-08 04_34_48_847.png  \n",
            "  inflating: train/design_2020-02-08 04_42_33_640.png  \n",
            "  inflating: train/design_2020-02-08 04_50_31_383.png  \n",
            "  inflating: train/design_2020-02-08 05_01_18_671.png  \n",
            " extracting: train/design_2020-02-08 05_09_56_848.png  \n",
            "  inflating: train/design_2020-02-08 05_25_39_900.png  \n",
            " extracting: train/design_2020-02-08 05_31_04_736.png  \n",
            "  inflating: train/design_2020-02-08 05_32_08_221.png  \n",
            " extracting: train/design_2020-02-08 05_33_30_115.png  \n",
            "  inflating: train/design_2020-02-08 05_42_12_280.png  \n",
            "  inflating: train/design_2020-02-08 05_48_14_946.png  \n",
            "  inflating: train/design_2020-02-08 06_09_58_761.png  \n",
            " extracting: train/design_2020-02-08 06_12_04_384.png  \n",
            " extracting: train/design_2020-02-08 06_15_35_812.png  \n",
            " extracting: train/design_2020-02-08 06_36_48_261.png  \n",
            " extracting: train/design_2020-02-08 06_38_02_587.png  \n",
            " extracting: train/design_2020-02-08 06_59_08_439.png  \n",
            "  inflating: train/design_2020-02-08 07_02_02_065.png  \n",
            " extracting: train/design_2020-02-08 07_09_43_126.png  \n",
            " extracting: train/design_2020-02-08 07_31_32_589.png  \n",
            "  inflating: train/design_2020-02-08 07_40_56_813.png  \n",
            " extracting: train/design_2020-02-08 07_41_55_036.png  \n",
            " extracting: train/design_2020-02-08 07_42_51_668.png  \n",
            " extracting: train/design_2020-02-08 08_04_21_071.png  \n",
            " extracting: train/design_2020-02-08 08_44_30_246.png  \n",
            "  inflating: train/design_2020-02-08 09_05_00_875.png  \n",
            "  inflating: train/design_2020-02-08 09_50_50_073.png  \n",
            "  inflating: train/design_2020-02-08 11_14_22_386.png  \n",
            " extracting: train/design_2020-02-08 11_22_56_545.png  \n",
            "  inflating: train/design_2020-02-08 11_25_41_504.png  \n",
            " extracting: train/design_2020-02-08 11_33_15_535.png  \n",
            "  inflating: train/design_2020-02-08 11_34_22_996.png  \n",
            " extracting: train/design_2020-02-08 11_56_02_203.png  \n",
            " extracting: train/design_2020-02-08 11_56_15_152.png  \n",
            " extracting: train/design_2020-02-08 13_32_27_536.png  \n",
            "  inflating: train/design_2020-02-08 13_45_10_438.png  \n",
            " extracting: train/design_2020-02-08 13_53_51_821.png  \n",
            " extracting: train/design_2020-02-08 14_05_11_602.png  \n",
            "  inflating: train/design_2020-02-08 14_18_17_067.png  \n",
            "  inflating: train/design_2020-02-08 14_19_15_597.png  \n",
            "  inflating: train/design_2020-02-08 14_20_21_925.png  \n",
            "  inflating: train/design_2020-02-08 14_29_46_984.png  \n",
            " extracting: train/design_2020-02-08 14_33_25_940.png  \n",
            "  inflating: train/design_2020-02-08 14_39_22_137.png  \n",
            "  inflating: train/design_2020-02-08 14_45_56_376.png  \n",
            "  inflating: train/design_2020-02-08 14_52_55_729.png  \n",
            " extracting: train/design_2020-02-08 14_56_20_531.png  \n",
            " extracting: train/design_2020-02-08 15_00_48_296.png  \n",
            " extracting: train/design_2020-02-08 15_09_52_295.png  \n",
            "  inflating: train/design_2020-02-08 15_14_25_799.png  \n",
            " extracting: train/design_2020-02-08 15_15_05_712.png  \n",
            "  inflating: train/design_2020-02-08 15_26_59_864.png  \n",
            " extracting: train/design_2020-02-08 15_36_56_190.png  \n",
            "  inflating: train/design_2020-02-08 15_41_12_884.png  \n",
            "  inflating: train/design_2020-02-08 15_41_20_119.png  \n",
            " extracting: train/design_2020-02-08 15_48_25_110.png  \n",
            "  inflating: train/design_2020-02-08 15_58_40_023.png  \n",
            " extracting: train/design_2020-02-08 16_04_09_262.png  \n",
            " extracting: train/design_2020-02-08 16_15_17_705.png  \n",
            "  inflating: train/design_2020-02-08 16_15_18_637.png  \n",
            "  inflating: train/design_2020-02-08 16_26_09_843.png  \n",
            " extracting: train/design_2020-02-08 16_37_34_591.png  \n",
            " extracting: train/design_2020-02-08 16_44_45_645.png  \n",
            " extracting: train/design_2020-02-08 16_49_12_557.png  \n",
            "  inflating: train/design_2020-02-08 17_11_03_570.png  \n",
            " extracting: train/design_2020-02-08 17_11_50_399.png  \n",
            " extracting: train/design_2020-02-08 17_33_41_835.png  \n",
            " extracting: train/design_2020-02-08 17_40_54_702.png  \n",
            "  inflating: train/design_2020-02-08 17_52_31_454.png  \n",
            "  inflating: train/design_2020-02-08 17_52_37_419.png  \n",
            "  inflating: train/design_2020-02-08 18_01_12_727.png  \n",
            " extracting: train/design_2020-02-08 18_02_25_892.png  \n",
            "  inflating: train/design_2020-02-08 18_06_24_203.png  \n",
            " extracting: train/design_2020-02-08 18_19_58_604.png  \n",
            " extracting: train/design_2020-02-08 18_24_09_396.png  \n",
            "  inflating: train/design_2020-02-08 18_27_57_511.png  \n",
            "  inflating: train/design_2020-02-08 18_35_39_751.png  \n",
            " extracting: train/design_2020-02-08 18_37_59_099.png  \n",
            " extracting: train/design_2020-02-08 18_40_16_021.png  \n",
            " extracting: train/design_2020-02-08 18_43_19_776.png  \n",
            " extracting: train/design_2020-02-08 18_45_42_536.png  \n",
            " extracting: train/design_2020-02-08 18_46_52_407.png  \n",
            "  inflating: train/design_2020-02-08 18_48_02_501.png  \n",
            " extracting: train/design_2020-03-13 17_33_09_013.png  \n",
            "  inflating: train/design_2020-03-13 17_44_10_764.png  \n",
            "  inflating: train/design_2020-03-13 17_44_25_552.png  \n",
            " extracting: train/design_2020-03-13 18_04_27_657.png  \n",
            "  inflating: train/design_2020-03-13 18_06_05_010.png  \n",
            " extracting: train/design_2020-03-13 18_06_30_852.png  \n",
            "  inflating: train/design_2020-03-13 18_26_37_828.png  \n",
            "  inflating: train/design_2020-03-13 18_47_28_767.png  \n",
            " extracting: train/design_2020-03-13 18_47_42_464.png  \n",
            "  inflating: train/design_2020-03-13 18_50_39_430.png  \n",
            "  inflating: train/design_2020-03-13 18_59_16_183.png  \n",
            "  inflating: train/design_2020-03-13 18_59_44_728.png  \n",
            "  inflating: train/design_2020-03-13 19_09_42_488.png  \n",
            " extracting: train/design_2020-03-13 19_10_59_589.png  \n",
            "  inflating: train/design_2020-03-13 19_12_07_755.png  \n",
            "  inflating: train/design_2020-03-13 19_12_31_894.png  \n",
            "  inflating: train/design_2020-03-13 19_34_51_860.png  \n",
            "  inflating: train/design_2020-03-13 19_55_05_675.png  \n",
            " extracting: train/design_2020-03-13 19_55_06_766.png  \n",
            "  inflating: train/design_2020-03-13 19_55_51_672.png  \n",
            "  inflating: train/design_2020-03-13 20_04_26_730.png  \n",
            " extracting: train/design_2020-03-13 20_06_00_267.png  \n",
            "  inflating: train/design_2020-03-13 20_16_13_929.png  \n",
            "  inflating: train/design_2020-03-13 20_34_30_904.png  \n",
            "  inflating: train/design_2020-03-13 20_48_34_982.png  \n",
            " extracting: train/design_2020-03-13 20_48_54_122.png  \n",
            "  inflating: train/design_2020-03-13 20_57_17_465.png  \n",
            " extracting: train/design_2020-03-13 21_00_48_392.png  \n",
            "  inflating: train/design_2020-03-13 21_00_54_670.png  \n",
            " extracting: train/design_2020-03-13 21_08_44_584.png  \n",
            "  inflating: train/design_2020-03-13 21_10_48_496.png  \n",
            " extracting: train/design_2020-03-13 21_11_45_952.png  \n",
            "  inflating: train/design_2020-03-13 21_19_29_524.png  \n",
            "  inflating: train/design_2020-03-13 21_33_55_932.png  \n",
            "  inflating: train/design_2020-03-13 21_35_57_160.png  \n",
            " extracting: train/design_2020-03-13 21_37_40_484.png  \n",
            "  inflating: train/design_2020-03-13 21_44_54_522.png  \n",
            " extracting: train/design_2020-03-13 21_48_09_089.png  \n",
            " extracting: train/design_2020-03-13 21_51_47_311.png  \n",
            " extracting: train/design_2020-03-13 22_20_38_170.png  \n",
            "  inflating: train/design_2020-03-13 22_40_28_847.png  \n",
            " extracting: train/design_2020-03-13 22_57_01_685.png  \n",
            "  inflating: train/design_2020-03-13 23_07_33_500.png  \n",
            "  inflating: train/design_2020-03-13 23_18_25_946.png  \n",
            "  inflating: train/design_2020-03-13 23_25_27_817.png  \n",
            "  inflating: train/design_2020-03-13 23_28_36_500.png  \n",
            "  inflating: train/design_2020-03-13 23_45_34_050.png  \n",
            "  inflating: train/design_2020-03-13 23_46_47_923.png  \n",
            "  inflating: train/design_2020-03-13 23_49_40_521.png  \n",
            " extracting: train/design_2020-03-13 23_50_12_451.png  \n",
            " extracting: train/design_2020-03-14 00_00_45_444.png  \n",
            "  inflating: train/design_2020-03-14 00_11_06_548.png  \n",
            "  inflating: train/design_2020-03-14 00_17_18_478.png  \n",
            " extracting: train/design_2020-03-14 00_21_41_102.png  \n",
            " extracting: train/design_2020-03-14 00_26_36_902.png  \n",
            " extracting: train/design_2020-03-14 00_27_43_704.png  \n",
            " extracting: train/design_2020-03-14 00_35_24_680.png  \n",
            "  inflating: train/design_2020-03-14 00_46_15_236.png  \n",
            " extracting: train/design_2020-03-14 00_57_25_648.png  \n",
            "  inflating: train/design_2020-03-14 01_03_27_318.png  \n",
            " extracting: train/design_2020-03-14 01_03_43_423.png  \n",
            " extracting: train/design_2020-03-14 01_08_06_788.png  \n",
            " extracting: train/design_2020-03-14 01_18_53_843.png  \n",
            "  inflating: train/design_2020-03-14 01_24_43_004.png  \n",
            "  inflating: train/design_2020-03-14 01_30_47_160.png  \n",
            "  inflating: train/design_2020-03-14 01_46_22_364.png  \n",
            "  inflating: train/design_2020-03-14 01_46_38_802.png  \n",
            "  inflating: train/design_2020-03-14 01_52_43_904.png  \n",
            " extracting: train/design_2020-03-14 01_55_53_130.png  \n",
            "  inflating: train/design_2020-03-14 02_03_10_700.png  \n",
            "  inflating: train/design_2020-03-14 02_07_55_411.png  \n",
            " extracting: train/design_2020-03-14 02_12_42_601.png  \n",
            "  inflating: train/design_2020-03-14 02_17_48_128.png  \n",
            "  inflating: train/design_2020-03-14 02_29_10_927.png  \n",
            " extracting: train/design_2020-03-14 02_34_12_615.png  \n",
            "  inflating: train/design_2020-03-14 02_50_28_013.png  \n",
            "  inflating: train/design_2020-03-14 02_50_41_284.png  \n",
            "  inflating: train/design_2020-03-14 03_03_28_249.png  \n",
            "  inflating: train/design_2020-03-14 03_12_02_871.png  \n",
            " extracting: train/design_2020-03-14 03_14_11_712.png  \n",
            " extracting: train/design_2020-03-14 03_21_28_286.png  \n",
            "  inflating: train/design_2020-03-14 03_34_11_299.png  \n",
            "  inflating: train/design_2020-03-14 03_47_50_559.png  \n",
            " extracting: train/design_2020-03-14 03_58_36_790.png  \n",
            " extracting: train/design_2020-03-14 04_01_02_314.png  \n",
            "  inflating: train/design_2020-03-14 04_17_11_092.png  \n",
            "  inflating: train/design_2020-03-14 04_19_03_585.png  \n",
            "  inflating: train/design_2020-03-14 04_27_11_038.png  \n",
            "  inflating: train/design_2020-03-14 04_38_15_442.png  \n",
            " extracting: train/design_2020-03-14 04_43_36_336.png  \n",
            " extracting: train/design_2020-03-14 04_46_28_043.png  \n",
            " extracting: train/design_2020-03-14 04_48_58_527.png  \n",
            "  inflating: train/design_2020-03-14 04_58_33_572.png  \n",
            " extracting: train/design_2020-03-14 05_20_25_150.png  \n",
            " extracting: train/design_2020-03-14 05_25_02_801.png  \n",
            "  inflating: train/design_2020-03-14 05_27_18_306.png  \n",
            " extracting: train/design_2020-03-14 05_42_12_850.png  \n",
            " extracting: train/design_2020-03-14 05_46_25_064.png  \n",
            "  inflating: train/design_2020-03-14 05_56_26_285.png  \n",
            " extracting: train/design_2020-03-14 06_02_55_966.png  \n",
            " extracting: train/design_2020-03-14 06_06_25_036.png  \n",
            " extracting: train/design_2020-03-14 06_17_39_237.png  \n",
            "  inflating: train/design_2020-03-14 06_39_46_894.png  \n",
            "  inflating: train/design_2020-03-14 06_40_44_538.png  \n",
            "  inflating: train/design_2020-03-14 06_46_06_831.png  \n",
            "  inflating: train/design_2020-03-14 06_49_47_548.png  \n",
            "  inflating: train/design_2020-03-14 07_03_03_900.png  \n",
            " extracting: train/design_2020-03-14 07_07_41_238.png  \n",
            "  inflating: train/design_2020-03-14 07_14_00_332.png  \n",
            "  inflating: train/design_2020-03-14 07_21_36_415.png  \n",
            "  inflating: train/design_2020-03-14 07_24_34_043.png  \n",
            " extracting: train/design_2020-03-14 07_29_26_483.png  \n",
            "  inflating: train/design_2020-03-14 07_35_42_060.png  \n",
            "  inflating: train/design_2020-03-14 07_57_41_142.png  \n",
            " extracting: train/design_2020-03-14 08_09_02_647.png  \n",
            "  inflating: train/design_2020-03-14 08_16_13_624.png  \n",
            " extracting: train/design_2020-03-14 08_38_13_913.png  \n",
            " extracting: train/design_2020-03-14 08_46_40_882.png  \n",
            "  inflating: train/design_2020-03-14 08_52_42_894.png  \n",
            "  inflating: train/design_2020-03-14 08_52_51_982.png  \n",
            " extracting: train/design_2020-03-14 08_58_01_682.png  \n",
            " extracting: train/design_2020-03-14 09_03_38_510.png  \n",
            "  inflating: train/design_2020-03-14 09_14_39_145.png  \n",
            " extracting: train/design_2020-03-14 09_14_42_187.png  \n",
            "  inflating: train/design_2020-03-14 09_21_24_570.png  \n",
            "  inflating: train/design_2020-03-14 09_32_10_307.png  \n",
            " extracting: train/design_2020-03-14 09_40_45_647.png  \n",
            " extracting: train/design_2020-03-14 09_57_40_789.png  \n",
            "  inflating: train/design_2020-03-14 09_57_53_046.png  \n",
            "  inflating: train/design_2020-03-14 10_17_02_727.png  \n",
            " extracting: train/design_2020-03-14 10_22_44_483.png  \n",
            "  inflating: train/design_2020-03-14 10_33_16_108.png  \n",
            " extracting: train/design_2020-03-14 10_36_07_776.png  \n",
            " extracting: train/design_2020-03-14 10_43_58_682.png  \n",
            " extracting: train/design_2020-03-14 10_46_55_434.png  \n",
            " extracting: train/design_2020-03-14 10_47_24_688.png  \n",
            "  inflating: train/design_2020-03-14 10_51_43_698.png  \n",
            "  inflating: train/design_2020-03-14 11_02_20_118.png  \n",
            "  inflating: train/design_2020-03-14 11_02_39_956.png  \n",
            "  inflating: train/design_2020-03-14 11_11_16_258.png  \n",
            " extracting: train/design_2020-03-14 11_13_42_976.png  \n",
            "  inflating: train/design_2020-03-14 11_17_56_334.png  \n",
            "  inflating: train/design_2020-03-14 11_19_28_052.png  \n",
            "  inflating: train/design_2020-03-14 11_23_27_541.png  \n",
            "  inflating: train/design_2020-03-14 11_35_19_653.png  \n",
            "  inflating: train/design_2020-03-14 11_36_01_931.png  \n",
            "  inflating: train/design_2020-03-14 11_46_05_787.png  \n",
            "  inflating: train/design_2020-03-14 12_04_03_497.png  \n",
            "  inflating: train/design_2020-03-14 12_07_13_074.png  \n",
            " extracting: train/design_2020-03-14 12_07_37_927.png  \n",
            " extracting: train/design_2020-03-14 12_22_14_767.png  \n",
            "  inflating: train/design_2020-03-14 12_28_32_734.png  \n",
            "  inflating: train/design_2020-03-14 12_49_08_230.png  \n",
            "  inflating: train/design_2020-03-14 12_58_14_222.png  \n",
            "  inflating: train/design_2020-03-14 12_58_52_442.png  \n",
            "  inflating: train/design_2020-03-14 13_10_31_795.png  \n",
            "  inflating: train/design_2020-03-14 13_19_00_060.png  \n",
            "  inflating: train/design_2020-03-14 13_20_22_319.png  \n",
            "  inflating: train/design_2020-03-14 13_31_59_683.png  \n",
            " extracting: train/design_2020-03-14 13_46_56_632.png  \n",
            "  inflating: train/design_2020-03-14 13_57_56_545.png  \n",
            "  inflating: train/design_2020-03-14 14_04_44_954.png  \n",
            " extracting: train/design_2020-03-14 14_09_27_103.png  \n",
            " extracting: train/design_2020-03-14 14_15_03_565.png  \n",
            " extracting: train/design_2020-03-14 14_31_28_560.png  \n",
            " extracting: train/design_2020-03-14 14_38_22_312.png  \n",
            "  inflating: train/design_2020-03-14 14_42_25_409.png  \n",
            "  inflating: train/design_2020-03-14 14_47_26_131.png  \n",
            " extracting: train/design_2020-03-14 14_49_05_246.png  \n",
            " extracting: train/design_2020-03-14 14_52_58_984.png  \n",
            "  inflating: train/design_2020-03-14 14_58_04_915.png  \n",
            " extracting: train/design_2020-03-14 14_59_53_330.png  \n",
            "  inflating: train/design_2020-03-14 15_03_39_542.png  \n",
            "  inflating: train/design_2020-03-14 15_06_37_124.png  \n",
            " extracting: train/design_2020-03-14 15_12_01_327.png  \n",
            "  inflating: train/design_2020-03-14 15_28_19_889.png  \n",
            "  inflating: train/design_2020-03-14 15_31_35_707.png  \n",
            " extracting: train/design_2020-03-14 15_43_46_396.png  \n",
            " extracting: train/design_2020-03-14 15_49_16_637.png  \n",
            "  inflating: train/design_2020-03-14 15_50_23_046.png  \n",
            "  inflating: train/design_2020-03-14 15_53_59_893.png  \n",
            " extracting: train/design_2020-03-14 15_54_47_316.png  \n",
            " extracting: train/design_2020-03-14 16_05_18_456.png  \n",
            "  inflating: train/design_2020-03-14 16_05_36_182.png  \n",
            " extracting: train/design_2020-03-14 16_16_03_287.png  \n",
            " extracting: train/design_2020-03-14 16_24_06_976.png  \n",
            " extracting: train/design_2020-03-14 16_26_50_525.png  \n",
            " extracting: train/design_2020-03-14 16_38_02_014.png  \n",
            " extracting: train/design_2020-03-14 16_43_15_244.png  \n",
            "  inflating: train/design_2020-03-14 16_48_31_657.png  \n",
            "  inflating: train/design_2020-03-14 16_52_12_913.png  \n",
            " extracting: train/design_2020-03-14 16_53_51_759.png  \n",
            " extracting: train/design_2020-03-14 17_03_05_809.png  \n",
            "  inflating: train/design_2020-03-14 17_13_45_136.png  \n",
            "  inflating: train/design_2020-03-14 17_19_51_401.png  \n",
            "  inflating: train/design_2020-03-14 17_24_50_772.png  \n",
            "  inflating: train/design_2020-03-14 17_41_19_584.png  \n",
            "  inflating: train/design_2020-03-14 17_41_34_790.png  \n",
            " extracting: train/design_2020-03-14 17_46_45_184.png  \n",
            "  inflating: train/design_2020-03-14 17_58_12_564.png  \n",
            "  inflating: train/design_2020-03-14 18_13_04_982.png  \n",
            " extracting: train/design_2020-03-14 18_33_46_671.png  \n",
            "  inflating: train/design_2020-03-14 18_48_16_971.png  \n",
            " extracting: train/design_2020-03-14 18_55_42_349.png  \n",
            "  inflating: train/design_2020-03-14 19_07_49_458.png  \n",
            " extracting: train/design_2020-03-14 19_12_53_035.png  \n",
            "  inflating: train/design_2020-03-14 19_16_43_696.png  \n",
            "  inflating: train/design_2020-03-14 19_29_11_159.png  \n",
            "  inflating: train/design_2020-03-14 19_29_20_812.png  \n",
            " extracting: train/design_2020-03-14 19_33_22_138.png  \n",
            " extracting: train/design_2020-03-14 19_40_07_860.png  \n",
            "  inflating: train/design_2020-03-14 19_48_39_926.png  \n",
            " extracting: train/design_2020-03-14 19_51_08_530.png  \n",
            "  inflating: train/design_2020-03-14 20_00_22_525.png  \n",
            "  inflating: train/design_2020-03-14 20_20_09_106.png  \n",
            "  inflating: train/design_2020-03-14 20_21_48_888.png  \n",
            "  inflating: train/design_2020-03-14 20_24_41_672.png  \n",
            "  inflating: train/design_2020-03-14 20_56_32_231.png  \n",
            "  inflating: train/design_2020-03-14 21_22_38_804.png  \n",
            " extracting: train/design_2020-03-14 21_24_02_689.png  \n",
            "  inflating: train/design_2020-03-14 21_28_18_263.png  \n",
            " extracting: train/design_2020-03-14 21_41_51_964.png  \n",
            "  inflating: train/design_2020-03-14 21_42_44_244.png  \n",
            "  inflating: train/design_2020-03-14 21_54_06_256.png  \n",
            "  inflating: train/design_2020-03-14 21_55_56_519.png  \n",
            "  inflating: train/design_2020-03-14 22_10_40_415.png  \n",
            " extracting: train/design_2020-03-14 23_15_36_328.png  \n",
            " extracting: train/design_2020-03-14 23_31_47_007.png  \n",
            " extracting: train/design_2020-03-14 23_36_50_876.png  \n",
            "  inflating: train/design_2020-03-14 23_37_37_105.png  \n",
            " extracting: train/design_2020-03-14 23_41_49_160.png  \n",
            " extracting: train/design_2020-03-14 23_49_56_832.png  \n",
            " extracting: train/design_2020-03-14 23_58_54_640.png  \n",
            "  inflating: train/design_2020-03-15 00_03_41_320.png  \n",
            "  inflating: train/design_2020-03-15 00_03_46_936.png  \n",
            "  inflating: train/design_2020-03-15 00_20_25_284.png  \n",
            " extracting: train/design_2020-03-15 00_25_47_267.png  \n",
            " extracting: train/design_2020-03-15 00_35_30_171.png  \n",
            "  inflating: train/design_2020-03-15 00_42_14_589.png  \n",
            " extracting: train/design_2020-03-15 00_48_21_379.png  \n",
            " extracting: train/design_2020-03-15 00_49_55_358.png  \n",
            " extracting: train/design_2020-03-15 01_00_45_172.png  \n",
            " extracting: train/design_2020-03-15 01_03_59_078.png  \n",
            "  inflating: train/design_2020-03-15 01_08_00_723.png  \n",
            "  inflating: train/design_2020-03-15 01_26_33_083.png  \n",
            "  inflating: train/design_2020-03-15 01_35_53_950.png  \n",
            "  inflating: train/design_2020-03-15 01_48_26_421.png  \n",
            " extracting: train/design_2020-03-15 01_53_17_268.png  \n",
            " extracting: train/design_2020-03-15 02_08_02_294.png  \n",
            "  inflating: train/design_2020-03-15 02_14_14_504.png  \n",
            "  inflating: train/design_2020-03-15 02_18_25_906.png  \n",
            " extracting: train/design_2020-03-15 02_29_20_495.png  \n",
            " extracting: train/design_2020-03-15 02_40_10_880.png  \n",
            "  inflating: train/design_2020-03-15 02_46_49_174.png  \n",
            "  inflating: train/design_2020-03-15 02_50_46_915.png  \n",
            " extracting: train/design_2020-03-15 02_52_19_217.png  \n",
            "  inflating: train/design_2020-03-15 02_53_41_423.png  \n",
            " extracting: train/design_2020-03-15 02_57_33_468.png  \n",
            "  inflating: train/design_2020-03-15 03_00_35_656.png  \n",
            "  inflating: train/design_2020-03-15 03_01_14_987.png  \n",
            "  inflating: train/design_2020-03-15 03_14_50_566.png  \n",
            "  inflating: train/design_2020-03-15 03_18_42_952.png  \n",
            "  inflating: train/design_2020-03-15 03_21_50_811.png  \n",
            " extracting: train/design_2020-03-15 03_23_30_070.png  \n",
            " extracting: train/design_2020-03-15 03_32_30_346.png  \n",
            " extracting: train/design_2020-03-15 03_33_47_960.png  \n",
            "  inflating: train/design_2020-03-15 03_34_42_628.png  \n",
            " extracting: train/design_2020-03-15 03_39_42_478.png  \n",
            "  inflating: train/design_2020-03-15 03_45_33_560.png  \n",
            " extracting: train/design_2020-03-15 03_56_27_285.png  \n",
            "  inflating: train/design_2020-03-15 04_06_08_019.png  \n",
            " extracting: train/design_2020-03-15 04_06_38_643.png  \n",
            "  inflating: train/design_2020-03-15 04_24_51_011.png  \n",
            " extracting: train/design_2020-03-15 04_39_07_905.png  \n",
            "  inflating: train/design_2020-03-15 04_47_17_821.png  \n",
            " extracting: train/design_2020-03-15 04_53_18_102.png  \n",
            " extracting: train/design_2020-03-15 05_00_12_258.png  \n",
            " extracting: train/design_2020-03-15 05_11_39_113.png  \n",
            "  inflating: train/design_2020-03-15 05_21_56_686.png  \n",
            " extracting: train/design_2020-03-15 05_27_12_797.png  \n",
            " extracting: train/design_2020-03-15 05_35_19_051.png  \n",
            "  inflating: train/design_2020-03-15 05_39_32_493.png  \n",
            " extracting: train/design_2020-03-15 05_56_55_797.png  \n",
            " extracting: train/design_2020-03-15 06_00_27_433.png  \n",
            "  inflating: train/design_2020-03-15 06_01_01_197.png  \n",
            "  inflating: train/design_2020-03-15 06_04_21_511.png  \n",
            " extracting: train/design_2020-03-15 06_17_28_534.png  \n",
            " extracting: train/design_2020-03-15 06_18_28_576.png  \n",
            " extracting: train/design_2020-03-15 06_39_25_231.png  \n",
            " extracting: train/design_2020-03-15 07_00_38_707.png  \n",
            "  inflating: train/design_2020-03-15 07_06_12_545.png  \n",
            " extracting: train/design_2020-03-15 07_08_01_147.png  \n",
            " extracting: train/design_2020-03-15 07_08_09_329.png  \n",
            " extracting: train/design_2020-03-15 07_22_04_138.png  \n",
            "  inflating: train/design_2020-03-15 07_39_47_598.png  \n",
            " extracting: train/design_2020-03-15 07_43_23_611.png  \n",
            "  inflating: train/design_2020-03-15 08_02_56_708.png  \n",
            " extracting: train/design_2020-03-15 08_11_01_104.png  \n",
            "  inflating: train/design_2020-03-15 08_23_54_511.png  \n",
            " extracting: train/design_2020-03-15 08_25_21_837.png  \n",
            "  inflating: train/design_2020-03-15 08_31_50_196.png  \n",
            " extracting: train/design_2020-03-15 08_32_12_474.png  \n",
            "  inflating: train/design_2020-03-15 08_38_19_815.png  \n",
            "  inflating: train/design_2020-03-15 08_45_11_284.png  \n",
            " extracting: train/design_2020-03-15 08_47_01_531.png  \n",
            " extracting: train/design_2020-03-15 09_05_50_557.png  \n",
            "  inflating: train/design_2020-03-15 09_06_58_665.png  \n",
            " extracting: train/design_2020-03-15 09_21_16_162.png  \n",
            "  inflating: train/design_2020-03-15 09_28_13_640.png  \n",
            "  inflating: train/design_2020-03-15 09_38_56_682.png  \n",
            "  inflating: train/design_2020-03-15 09_43_00_115.png  \n",
            "  inflating: train/design_2020-03-15 09_58_20_644.png  \n",
            "  inflating: train/design_2020-03-15 10_04_20_973.png  \n",
            "  inflating: train/design_2020-03-15 10_21_49_144.png  \n",
            " extracting: train/design_2020-03-15 10_22_10_405.png  \n",
            " extracting: train/design_2020-03-15 10_57_59_780.png  \n",
            " extracting: train/design_2020-03-15 10_59_15_553.png  \n",
            " extracting: train/design_2020-03-15 11_01_09_039.png  \n",
            " extracting: train/design_2020-03-15 11_10_20_967.png  \n",
            "  inflating: train/design_2020-03-15 11_10_40_588.png  \n",
            " extracting: train/design_2020-03-15 11_16_01_092.png  \n",
            " extracting: train/design_2020-03-15 11_20_09_001.png  \n",
            " extracting: train/design_2020-03-15 11_23_01_734.png  \n",
            " extracting: train/design_2020-03-15 11_31_07_691.png  \n",
            " extracting: train/design_2020-03-15 11_38_40_577.png  \n",
            "  inflating: train/design_2020-03-15 11_40_16_495.png  \n",
            " extracting: train/design_2020-03-15 11_42_09_394.png  \n",
            " extracting: train/design_2020-03-15 11_42_25_024.png  \n",
            "  inflating: train/design_2020-03-15 11_48_07_451.png  \n",
            " extracting: train/design_2020-03-15 11_52_50_003.png  \n",
            "  inflating: train/design_2020-03-15 11_58_12_775.png  \n",
            " extracting: train/design_2020-03-15 12_04_03_155.png  \n",
            "  inflating: train/design_2020-03-15 12_23_02_506.png  \n",
            " extracting: train/design_2020-03-15 12_45_48_031.png  \n",
            " extracting: train/design_2020-03-15 13_01_00_438.png  \n",
            " extracting: train/design_2020-03-15 13_10_52_384.png  \n",
            "  inflating: train/design_2020-03-15 13_33_32_421.png  \n",
            " extracting: train/design_2020-03-15 13_43_31_988.png  \n",
            " extracting: train/design_2020-03-15 13_44_40_850.png  \n",
            " extracting: train/design_2020-03-15 14_04_49_199.png  \n",
            "  inflating: train/design_2020-03-15 14_13_18_796.png  \n",
            " extracting: train/design_2020-03-15 14_35_43_272.png  \n",
            " extracting: train/design_2020-03-15 15_08_11_371.png  \n",
            " extracting: train/design_2020-03-15 15_16_14_963.png  \n",
            " extracting: train/design_2020-03-15 15_21_17_961.png  \n",
            " extracting: train/design_2020-03-15 15_25_25_762.png  \n",
            " extracting: train/design_2020-03-15 15_30_15_204.png  \n",
            " extracting: train/design_2020-03-15 15_53_03_687.png  \n",
            " extracting: train/design_2020-03-15 15_57_02_123.png  \n",
            " extracting: train/design_2020-03-15 16_01_54_671.png  \n",
            " extracting: train/design_2020-03-15 16_05_58_726.png  \n",
            " extracting: train/design_2020-03-15 16_19_47_263.png  \n",
            "  inflating: train/design_2020-03-15 16_25_09_308.png  \n",
            " extracting: train/design_2020-03-15 16_32_39_518.png  \n",
            "  inflating: train/design_2020-03-15 16_41_38_649.png  \n",
            "  inflating: train/design_2020-03-15 16_42_48_065.png  \n",
            "  inflating: train/design_2020-03-15 16_43_10_299.png  \n",
            "  inflating: train/design_2020-03-15 17_00_43_874.png  \n",
            "  inflating: train/design_2020-03-15 17_18_38_414.png  \n",
            "  inflating: train/design_2020-03-15 17_27_02_752.png  \n",
            "  inflating: train/design_2020-03-15 17_52_38_069.png  \n",
            "  inflating: train/design_2020-03-15 18_05_41_354.png  \n",
            " extracting: train/design_2020-03-15 18_54_03_010.png  \n",
            " extracting: train/design_2020-03-15 19_09_48_649.png  \n",
            "  inflating: train/design_2020-03-15 19_43_01_210.png  \n",
            " extracting: train/design_2020-03-16 14_43_03_792.png  \n",
            " extracting: train/design_2020-03-16 14_43_30_772.png  \n",
            " extracting: train/design_2020-03-16 14_43_33_759.png  \n",
            " extracting: train/design_2020-03-16 14_43_41_126.png  \n",
            " extracting: train/design_2020-03-16 14_57_26_312.png  \n",
            "  inflating: train/design_2020-03-16 15_05_28_032.png  \n",
            " extracting: train/design_2020-03-16 15_08_07_797.png  \n",
            " extracting: train/design_2020-03-16 15_16_02_859.png  \n",
            " extracting: train/design_2020-03-16 15_20_13_274.png  \n",
            " extracting: train/design_2020-03-16 15_20_47_238.png  \n",
            " extracting: train/design_2020-03-16 15_25_58_276.png  \n",
            " extracting: train/design_2020-03-16 15_27_07_142.png  \n",
            "  inflating: train/design_2020-03-16 15_31_12_762.png  \n",
            "  inflating: train/design_2020-03-16 15_32_21_646.png  \n",
            " extracting: train/design_2020-03-16 15_42_54_115.png  \n",
            " extracting: train/design_2020-03-16 15_47_14_750.png  \n",
            " extracting: train/design_2020-03-16 15_48_09_323.png  \n",
            " extracting: train/design_2020-03-16 15_56_45_587.png  \n",
            " extracting: train/design_2020-03-16 15_57_47_226.png  \n",
            " extracting: train/design_2020-03-16 15_58_02_229.png  \n",
            " extracting: train/design_2020-03-16 15_58_19_464.png  \n",
            " extracting: train/design_2020-03-16 15_58_46_491.png  \n",
            " extracting: train/design_2020-03-16 16_06_38_372.png  \n",
            "  inflating: train/design_2020-03-16 16_07_43_419.png  \n",
            "  inflating: train/design_2020-03-16 16_07_52_861.png  \n",
            " extracting: train/design_2020-03-16 16_09_31_490.png  \n",
            "  inflating: train/design_2020-03-16 16_09_48_604.png  \n",
            " extracting: train/design_2020-03-16 16_11_01_983.png  \n",
            "  inflating: train/design_2020-03-16 16_17_32_912.png  \n",
            " extracting: train/design_2020-03-16 16_28_48_732.png  \n",
            " extracting: train/design_2020-03-16 16_30_47_562.png  \n",
            " extracting: train/design_2020-03-16 16_31_54_084.png  \n",
            " extracting: train/design_2020-03-16 16_34_14_283.png  \n",
            "  inflating: train/design_2020-03-16 16_36_07_971.png  \n",
            "  inflating: train/design_2020-03-16 16_44_58_532.png  \n",
            " extracting: train/design_2020-03-16 16_47_25_226.png  \n",
            "  inflating: train/design_2020-03-16 16_52_49_063.png  \n",
            " extracting: train/design_2020-03-16 16_58_04_536.png  \n",
            "  inflating: train/design_2020-03-16 17_01_11_345.png  \n",
            "  inflating: train/design_2020-03-16 17_02_51_287.png  \n",
            " extracting: train/design_2020-03-16 17_15_09_165.png  \n",
            "  inflating: train/design_2020-03-16 17_25_45_632.png  \n",
            "  inflating: train/design_2020-03-16 17_29_35_240.png  \n",
            " extracting: train/design_2020-03-16 17_32_56_723.png  \n",
            "  inflating: train/design_2020-03-16 17_34_13_735.png  \n",
            "  inflating: train/design_2020-03-16 17_35_41_791.png  \n",
            " extracting: train/design_2020-03-16 17_36_13_171.png  \n",
            "  inflating: train/design_2020-03-16 17_43_09_718.png  \n",
            " extracting: train/design_2020-03-16 17_53_43_133.png  \n",
            " extracting: train/design_2020-03-16 18_08_40_342.png  \n",
            " extracting: train/design_2020-03-16 18_10_10_418.png  \n",
            "  inflating: train/design_2020-03-16 18_11_52_409.png  \n",
            "  inflating: train/design_2020-03-16 18_12_54_467.png  \n",
            " extracting: train/design_2020-03-16 18_19_14_083.png  \n",
            " extracting: train/design_2020-03-16 18_20_54_950.png  \n",
            " extracting: train/design_2020-03-16 18_24_00_937.png  \n",
            "  inflating: train/design_2020-03-16 18_25_24_975.png  \n",
            " extracting: train/design_2020-03-16 18_34_18_734.png  \n",
            " extracting: train/design_2020-03-16 18_34_53_008.png  \n",
            " extracting: train/design_2020-03-16 18_36_11_796.png  \n",
            " extracting: train/design_2020-03-16 18_45_21_589.png  \n",
            " extracting: train/design_2020-03-16 18_45_46_991.png  \n",
            " extracting: train/design_2020-03-16 18_46_49_883.png  \n",
            " extracting: train/design_2020-03-16 18_57_27_519.png  \n",
            "  inflating: train/design_2020-03-16 19_06_27_930.png  \n",
            "  inflating: train/design_2020-03-16 19_08_25_433.png  \n",
            "  inflating: train/design_2020-03-16 19_17_24_303.png  \n",
            " extracting: train/design_2020-03-16 19_19_00_488.png  \n",
            "  inflating: train/design_2020-03-16 19_19_13_978.png  \n",
            " extracting: train/design_2020-03-16 19_23_11_375.png  \n",
            "  inflating: train/design_2020-03-16 19_43_17_094.png  \n",
            "  inflating: train/design_2020-03-16 19_49_47_141.png  \n",
            " extracting: train/design_2020-03-16 19_53_47_845.png  \n",
            "  inflating: train/design_2020-03-16 20_00_14_318.png  \n",
            "  inflating: train/design_2020-03-16 20_02_08_960.png  \n",
            "  inflating: train/design_2020-03-16 20_04_47_369.png  \n",
            " extracting: train/design_2020-03-16 20_06_20_564.png  \n",
            " extracting: train/design_2020-03-16 20_10_48_700.png  \n",
            "  inflating: train/design_2020-03-16 20_12_54_063.png  \n",
            " extracting: train/design_2020-03-16 20_23_42_823.png  \n",
            "  inflating: train/design_2020-03-16 20_24_27_724.png  \n",
            " extracting: train/design_2020-03-16 20_27_05_574.png  \n",
            " extracting: train/design_2020-03-16 20_28_01_012.png  \n",
            "  inflating: train/design_2020-03-16 20_32_53_484.png  \n",
            "  inflating: train/design_2020-03-16 20_34_27_799.png  \n",
            "  inflating: train/design_2020-03-16 20_44_51_810.png  \n",
            " extracting: train/design_2020-03-16 20_48_33_597.png  \n",
            " extracting: train/design_2020-03-16 21_01_07_868.png  \n",
            "  inflating: train/design_2020-03-16 21_07_37_179.png  \n",
            " extracting: train/design_2020-03-16 21_11_54_899.png  \n",
            "  inflating: train/design_2020-03-16 21_17_08_583.png  \n",
            " extracting: train/design_2020-03-16 21_17_52_616.png  \n",
            " extracting: train/design_2020-03-16 21_28_31_636.png  \n",
            "  inflating: train/design_2020-03-16 21_34_41_704.png  \n",
            " extracting: train/design_2020-03-16 21_38_05_498.png  \n",
            " extracting: train/design_2020-03-16 21_38_34_211.png  \n",
            "  inflating: train/design_2020-03-16 21_47_43_420.png  \n",
            " extracting: train/design_2020-03-16 22_00_15_275.png  \n",
            " extracting: train/design_2020-03-16 22_05_10_454.png  \n",
            " extracting: train/design_2020-03-16 22_05_46_556.png  \n",
            " extracting: train/design_2020-03-16 22_16_25_395.png  \n",
            " extracting: train/design_2020-03-16 22_21_51_783.png  \n",
            "  inflating: train/design_2020-03-16 22_28_06_615.png  \n",
            "  inflating: train/design_2020-03-16 22_38_31_845.png  \n",
            " extracting: train/design_2020-03-16 22_44_08_847.png  \n",
            " extracting: train/design_2020-03-16 22_48_34_340.png  \n",
            "  inflating: train/design_2020-03-16 22_49_35_908.png  \n",
            "  inflating: train/design_2020-03-16 22_54_23_931.png  \n",
            " extracting: train/design_2020-03-16 22_58_26_557.png  \n",
            " extracting: train/design_2020-03-16 23_09_31_403.png  \n",
            "  inflating: train/design_2020-03-16 23_20_44_219.png  \n",
            " extracting: train/design_2020-03-16 23_23_03_268.png  \n",
            "  inflating: train/design_2020-03-16 23_23_35_826.png  \n",
            "  inflating: train/design_2020-03-16 23_23_41_220.png  \n",
            "  inflating: train/design_2020-03-16 23_32_32_020.png  \n",
            " extracting: train/design_2020-03-16 23_42_11_820.png  \n",
            " extracting: train/design_2020-03-16 23_54_45_444.png  \n",
            "  inflating: train/design_2020-03-17 00_04_01_118.png  \n",
            "  inflating: train/design_2020-03-17 00_07_28_319.png  \n",
            "  inflating: train/design_2020-03-17 00_14_35_923.png  \n",
            "  inflating: train/design_2020-03-17 00_26_50_088.png  \n",
            "  inflating: train/design_2020-03-17 00_28_53_260.png  \n",
            "  inflating: train/design_2020-03-17 00_29_10_841.png  \n",
            "  inflating: train/design_2020-03-17 00_37_42_108.png  \n",
            " extracting: train/design_2020-03-17 00_40_01_551.png  \n",
            " extracting: train/design_2020-03-17 00_48_02_292.png  \n",
            "  inflating: train/design_2020-03-17 00_50_52_340.png  \n",
            "  inflating: train/design_2020-03-17 01_04_55_447.png  \n",
            "  inflating: train/design_2020-03-17 01_10_30_682.png  \n",
            "  inflating: train/design_2020-03-17 01_12_24_825.png  \n",
            " extracting: train/design_2020-03-17 01_15_43_420.png  \n",
            "  inflating: train/design_2020-03-17 01_21_06_435.png  \n",
            "  inflating: train/design_2020-03-17 01_22_59_721.png  \n",
            " extracting: train/design_2020-03-17 01_32_21_766.png  \n",
            " extracting: train/design_2020-03-17 01_41_32_446.png  \n",
            "  inflating: train/design_2020-03-17 01_45_35_522.png  \n",
            " extracting: train/design_2020-03-17 02_10_38_708.png  \n",
            "  inflating: train/design_2020-03-17 02_18_17_258.png  \n",
            " extracting: train/design_2020-03-17 02_38_01_631.png  \n",
            "  inflating: train/design_2020-03-17 02_59_50_696.png  \n",
            " extracting: train/design_2020-03-17 03_01_59_854.png  \n",
            " extracting: train/design_2020-03-17 03_05_12_555.png  \n",
            "  inflating: train/design_2020-03-17 03_11_14_294.png  \n",
            " extracting: train/design_2020-03-17 03_12_50_293.png  \n",
            " extracting: train/design_2020-03-17 03_13_54_872.png  \n",
            "  inflating: train/design_2020-03-17 03_17_26_493.png  \n",
            " extracting: train/design_2020-03-17 03_21_41_799.png  \n",
            " extracting: train/design_2020-03-17 03_21_47_551.png  \n",
            "  inflating: train/design_2020-03-17 03_31_08_392.png  \n",
            "  inflating: train/design_2020-03-17 03_32_39_343.png  \n",
            " extracting: train/design_2020-03-17 03_33_38_300.png  \n",
            " extracting: train/design_2020-03-17 03_37_13_105.png  \n",
            " extracting: train/design_2020-03-17 03_38_08_898.png  \n",
            "  inflating: train/design_2020-03-17 03_38_53_181.png  \n",
            " extracting: train/design_2020-03-17 03_48_47_126.png  \n",
            " extracting: train/design_2020-03-17 03_48_57_069.png  \n",
            " extracting: train/design_2020-03-17 03_57_00_656.png  \n",
            " extracting: train/design_2020-03-17 03_59_37_576.png  \n",
            "  inflating: train/design_2020-03-17 04_00_27_442.png  \n",
            "  inflating: train/design_2020-03-17 04_04_13_875.png  \n",
            " extracting: train/design_2020-03-17 04_04_47_397.png  \n",
            "  inflating: train/design_2020-03-17 04_07_35_568.png  \n",
            "  inflating: train/design_2020-03-17 04_08_27_448.png  \n",
            "  inflating: train/design_2020-03-17 04_11_03_360.png  \n",
            "  inflating: train/design_2020-03-17 04_16_18_069.png  \n",
            " extracting: train/design_2020-03-17 04_19_22_689.png  \n",
            "  inflating: train/design_2020-03-17 04_33_06_272.png  \n",
            " extracting: train/design_2020-03-17 04_37_26_239.png  \n",
            " extracting: train/design_2020-03-17 04_38_27_013.png  \n",
            " extracting: train/design_2020-03-17 04_40_31_456.png  \n",
            " extracting: train/design_2020-03-17 04_42_03_404.png  \n",
            "  inflating: train/design_2020-03-17 04_51_31_983.png  \n",
            " extracting: train/design_2020-03-17 04_58_05_285.png  \n",
            "  inflating: train/design_2020-03-17 05_03_58_663.png  \n",
            " extracting: train/design_2020-03-17 05_05_15_472.png  \n",
            "  inflating: train/design_2020-03-17 05_10_31_939.png  \n",
            " extracting: train/design_2020-03-17 05_21_21_257.png  \n",
            " extracting: train/design_2020-03-17 05_21_34_263.png  \n",
            " extracting: train/design_2020-03-17 05_32_33_937.png  \n",
            " extracting: train/design_2020-03-17 05_41_07_327.png  \n",
            " extracting: train/design_2020-03-17 05_49_00_754.png  \n",
            " extracting: train/design_2020-03-17 05_49_55_562.png  \n",
            "  inflating: train/design_2020-03-17 05_53_46_027.png  \n",
            " extracting: train/design_2020-03-17 05_54_39_235.png  \n",
            "  inflating: train/design_2020-03-17 05_56_19_331.png  \n",
            "  inflating: train/design_2020-03-17 05_59_29_038.png  \n",
            " extracting: train/design_2020-03-17 05_59_35_848.png  \n",
            " extracting: train/design_2020-03-17 06_00_58_652.png  \n",
            "  inflating: train/design_2020-03-17 06_04_31_567.png  \n",
            "  inflating: train/design_2020-03-17 06_05_09_034.png  \n",
            " extracting: train/design_2020-03-17 06_15_06_046.png  \n",
            "  inflating: train/design_2020-03-17 06_16_01_676.png  \n",
            "  inflating: train/design_2020-03-17 06_17_51_414.png  \n",
            " extracting: train/design_2020-03-17 06_24_28_288.png  \n",
            "  inflating: train/design_2020-03-17 06_25_28_816.png  \n",
            "  inflating: train/design_2020-03-17 06_25_50_947.png  \n",
            "  inflating: train/design_2020-03-17 06_31_42_960.png  \n",
            "  inflating: train/design_2020-03-17 06_32_02_333.png  \n",
            " extracting: train/design_2020-03-17 06_33_15_584.png  \n",
            " extracting: train/design_2020-03-17 06_41_54_904.png  \n",
            "  inflating: train/design_2020-03-17 06_42_25_716.png  \n",
            " extracting: train/design_2020-03-17 06_44_06_739.png  \n",
            "  inflating: train/design_2020-03-17 06_48_48_679.png  \n",
            " extracting: train/design_2020-03-17 06_49_37_745.png  \n",
            "  inflating: train/design_2020-03-17 06_52_29_645.png  \n",
            "  inflating: train/design_2020-03-17 06_53_08_814.png  \n",
            " extracting: train/design_2020-03-17 06_57_41_746.png  \n",
            "  inflating: train/design_2020-03-17 07_00_11_624.png  \n",
            " extracting: train/design_2020-03-17 07_03_27_169.png  \n",
            "  inflating: train/design_2020-03-17 07_04_18_518.png  \n",
            "  inflating: train/design_2020-03-17 07_11_11_327.png  \n",
            " extracting: train/design_2020-03-17 07_17_09_911.png  \n",
            "  inflating: train/design_2020-03-17 07_19_59_344.png  \n",
            "  inflating: train/design_2020-03-17 07_21_07_213.png  \n",
            " extracting: train/design_2020-03-17 07_24_57_061.png  \n",
            "  inflating: train/design_2020-03-17 07_26_34_743.png  \n",
            " extracting: train/design_2020-03-17 07_30_36_478.png  \n",
            " extracting: train/design_2020-03-17 07_31_27_850.png  \n",
            "  inflating: train/design_2020-03-17 07_32_39_776.png  \n",
            "  inflating: train/design_2020-03-17 07_35_58_921.png  \n",
            "  inflating: train/design_2020-03-17 07_36_42_293.png  \n",
            "  inflating: train/design_2020-03-17 07_41_22_775.png  \n",
            "  inflating: train/design_2020-03-17 07_44_26_834.png  \n",
            " extracting: train/design_2020-03-17 07_46_57_967.png  \n",
            "  inflating: train/design_2020-03-17 07_47_23_758.png  \n",
            " extracting: train/design_2020-03-17 07_53_28_907.png  \n",
            "  inflating: train/design_2020-03-17 07_54_28_498.png  \n",
            " extracting: train/design_2020-03-17 07_57_44_489.png  \n",
            "  inflating: train/design_2020-03-17 08_04_25_737.png  \n",
            "  inflating: train/design_2020-03-17 08_08_56_490.png  \n",
            " extracting: train/design_2020-03-17 08_12_35_256.png  \n",
            " extracting: train/design_2020-03-17 08_20_11_595.png  \n",
            " extracting: train/design_2020-03-17 08_21_53_888.png  \n",
            "  inflating: train/design_2020-03-17 08_23_27_220.png  \n",
            "  inflating: train/design_2020-03-17 08_30_19_358.png  \n",
            " extracting: train/design_2020-03-17 08_32_44_586.png  \n",
            " extracting: train/design_2020-03-17 08_34_39_049.png  \n",
            " extracting: train/design_2020-03-17 08_35_48_610.png  \n",
            "  inflating: train/design_2020-03-17 08_45_07_389.png  \n",
            "  inflating: train/design_2020-03-17 08_48_37_206.png  \n",
            "  inflating: train/design_2020-03-17 08_52_47_023.png  \n",
            "  inflating: train/design_2020-03-17 08_53_41_516.png  \n",
            " extracting: train/design_2020-03-17 08_55_42_576.png  \n",
            "  inflating: train/design_2020-03-17 08_59_07_114.png  \n",
            " extracting: train/design_2020-03-17 09_02_59_191.png  \n",
            "  inflating: train/design_2020-03-17 09_04_37_981.png  \n",
            " extracting: train/design_2020-03-17 09_09_19_597.png  \n",
            " extracting: train/design_2020-03-17 09_13_32_196.png  \n",
            " extracting: train/design_2020-03-17 09_13_59_475.png  \n",
            " extracting: train/design_2020-03-17 09_19_23_166.png  \n",
            "  inflating: train/design_2020-03-17 09_20_06_919.png  \n",
            "  inflating: train/design_2020-03-17 09_30_59_841.png  \n",
            " extracting: train/design_2020-03-17 09_46_00_867.png  \n",
            " extracting: train/design_2020-03-17 09_47_07_162.png  \n",
            "  inflating: train/design_2020-03-17 09_47_53_031.png  \n",
            "  inflating: train/design_2020-03-17 09_52_20_981.png  \n",
            " extracting: train/design_2020-03-17 09_52_39_710.png  \n",
            " extracting: train/design_2020-03-17 09_57_29_812.png  \n",
            "  inflating: train/design_2020-03-17 09_58_24_997.png  \n",
            "  inflating: train/design_2020-03-17 09_58_33_125.png  \n",
            " extracting: train/design_2020-03-17 10_02_49_412.png  \n",
            " extracting: train/design_2020-03-17 10_07_49_105.png  \n",
            "  inflating: train/design_2020-03-17 10_09_15_625.png  \n",
            " extracting: train/design_2020-03-17 10_11_23_069.png  \n",
            "  inflating: train/design_2020-03-17 10_13_18_440.png  \n",
            " extracting: train/design_2020-03-17 10_17_04_402.png  \n",
            "  inflating: train/design_2020-03-17 10_22_43_035.png  \n",
            " extracting: train/design_2020-03-17 10_24_26_371.png  \n",
            " extracting: train/design_2020-03-17 10_28_10_004.png  \n",
            "  inflating: train/design_2020-03-17 10_28_10_942.png  \n",
            " extracting: train/design_2020-03-17 10_29_25_603.png  \n",
            "  inflating: train/design_2020-03-17 10_33_16_827.png  \n",
            " extracting: train/design_2020-03-17 10_40_13_549.png  \n",
            "  inflating: train/design_2020-03-17 10_40_25_883.png  \n",
            "  inflating: train/design_2020-03-17 10_45_54_123.png  \n",
            " extracting: train/design_2020-03-17 10_50_28_073.png  \n",
            "  inflating: train/design_2020-03-17 10_51_03_206.png  \n",
            " extracting: train/design_2020-03-17 10_53_23_145.png  \n",
            " extracting: train/design_2020-03-17 11_01_00_953.png  \n",
            " extracting: train/design_2020-03-17 11_04_13_124.png  \n",
            "  inflating: train/design_2020-03-17 11_06_33_618.png  \n",
            " extracting: train/design_2020-03-17 11_07_40_217.png  \n",
            "  inflating: train/design_2020-03-17 11_12_28_524.png  \n",
            "  inflating: train/design_2020-03-17 11_23_08_892.png  \n",
            "  inflating: train/design_2020-03-17 11_29_24_432.png  \n",
            " extracting: train/design_2020-03-17 11_32_30_341.png  \n",
            " extracting: train/design_2020-03-17 11_33_45_379.png  \n",
            " extracting: train/design_2020-03-17 11_38_40_753.png  \n",
            "  inflating: train/design_2020-03-17 11_39_56_842.png  \n",
            " extracting: train/design_2020-03-17 11_43_22_390.png  \n",
            " extracting: train/design_2020-03-17 11_49_08_347.png  \n",
            " extracting: train/design_2020-03-17 12_00_34_823.png  \n",
            " extracting: train/design_2020-03-17 12_14_33_696.png  \n",
            " extracting: train/design_2020-03-17 12_15_01_973.png  \n",
            " extracting: train/design_2020-03-17 12_18_48_852.png  \n",
            " extracting: train/design_2020-03-17 12_24_58_346.png  \n",
            "  inflating: train/design_2020-03-17 12_28_46_357.png  \n",
            " extracting: train/design_2020-03-17 12_32_54_080.png  \n",
            " extracting: train/design_2020-03-17 12_38_00_215.png  \n",
            "  inflating: train/design_2020-03-17 12_49_08_946.png  \n",
            " extracting: train/design_2020-03-17 12_50_49_573.png  \n",
            " extracting: train/design_2020-03-17 13_01_53_007.png  \n",
            "  inflating: train/design_2020-03-17 13_12_22_440.png  \n",
            " extracting: train/design_2020-03-17 13_15_42_703.png  \n",
            "  inflating: train/design_2020-03-17 13_17_19_079.png  \n",
            " extracting: train/design_2020-03-17 13_20_51_210.png  \n",
            " extracting: train/design_2020-03-17 13_23_12_242.png  \n",
            " extracting: train/design_2020-03-17 13_31_45_684.png  \n",
            " extracting: train/design_2020-03-17 13_33_59_254.png  \n",
            " extracting: train/design_2020-03-17 13_38_57_588.png  \n",
            " extracting: train/design_2020-03-17 13_44_34_583.png  \n",
            "  inflating: train/design_2020-03-17 13_49_57_626.png  \n",
            " extracting: train/design_2020-03-17 13_53_04_895.png  \n",
            " extracting: train/design_2020-03-17 13_53_34_336.png  \n",
            " extracting: train/design_2020-03-17 14_01_07_807.png  \n",
            " extracting: train/design_2020-03-17 14_05_00_946.png  \n",
            " extracting: train/design_2020-03-17 14_06_01_912.png  \n",
            " extracting: train/design_2020-03-17 14_09_14_794.png  \n",
            " extracting: train/design_2020-03-17 14_15_36_769.png  \n",
            " extracting: train/design_2020-03-17 14_19_58_936.png  \n",
            " extracting: train/design_2020-03-17 14_28_35_729.png  \n",
            " extracting: train/design_2020-03-17 14_30_03_563.png  \n",
            " extracting: train/design_2020-03-17 14_31_15_698.png  \n",
            "  inflating: train/design_2020-03-17 14_34_06_079.png  \n",
            " extracting: train/design_2020-03-17 14_37_38_879.png  \n",
            " extracting: train/design_2020-03-17 14_37_48_960.png  \n",
            "  inflating: train/design_2020-03-17 14_42_08_456.png  \n",
            "  inflating: train/design_2020-03-17 14_43_48_418.png  \n",
            " extracting: train/design_2020-03-17 14_48_34_218.png  \n",
            " extracting: train/design_2020-03-17 14_49_35_535.png  \n",
            " extracting: train/design_2020-03-17 14_53_36_831.png  \n",
            " extracting: train/design_2020-03-17 15_07_09_006.png  \n",
            " extracting: train/design_2020-03-17 15_09_34_323.png  \n",
            " extracting: train/design_2020-03-17 15_15_45_703.png  \n",
            "  inflating: train/design_2020-03-17 15_21_10_602.png  \n",
            " extracting: train/design_2020-03-17 15_21_41_727.png  \n",
            "  inflating: train/design_2020-03-17 15_21_42_855.png  \n",
            "  inflating: train/design_2020-03-17 15_28_17_557.png  \n",
            "  inflating: train/design_2020-03-17 15_31_56_527.png  \n",
            " extracting: train/design_2020-03-17 15_32_16_486.png  \n",
            "  inflating: train/design_2020-03-17 15_32_20_948.png  \n",
            "  inflating: train/design_2020-03-17 15_32_22_123.png  \n",
            " extracting: train/design_2020-03-17 15_32_32_904.png  \n",
            " extracting: train/design_2020-03-17 15_38_17_848.png  \n",
            " extracting: train/design_2020-03-17 15_39_20_112.png  \n",
            "  inflating: train/design_2020-03-17 15_43_15_684.png  \n",
            "  inflating: train/design_2020-03-17 15_47_44_068.png  \n",
            " extracting: train/design_2020-03-17 15_49_04_077.png  \n",
            " extracting: train/design_2020-03-17 15_54_16_775.png  \n",
            "  inflating: train/design_2020-03-17 16_04_27_546.png  \n",
            "  inflating: train/design_2020-03-17 16_11_38_226.png  \n",
            "  inflating: train/design_2020-03-17 16_15_25_491.png  \n",
            "  inflating: train/design_2020-03-17 16_20_51_801.png  \n",
            " extracting: train/design_2020-03-17 16_22_28_990.png  \n",
            " extracting: train/design_2020-03-17 16_25_15_972.png  \n",
            " extracting: train/design_2020-03-17 16_25_54_860.png  \n",
            " extracting: train/design_2020-03-17 16_37_53_219.png  \n",
            " extracting: train/design_2020-03-17 16_47_56_215.png  \n",
            "  inflating: train/design_2020-03-17 16_57_37_926.png  \n",
            "  inflating: train/design_2020-03-17 16_58_15_016.png  \n",
            " extracting: train/design_2020-03-17 16_59_33_572.png  \n",
            "  inflating: train/design_2020-03-17 17_01_05_292.png  \n",
            "  inflating: train/design_2020-03-17 17_01_51_770.png  \n",
            "  inflating: train/design_2020-03-17 17_03_56_610.png  \n",
            "  inflating: train/design_2020-03-17 17_05_23_512.png  \n",
            " extracting: train/design_2020-03-17 17_09_17_496.png  \n",
            " extracting: train/design_2020-03-17 17_12_29_603.png  \n",
            "  inflating: train/design_2020-03-17 17_14_18_558.png  \n",
            " extracting: train/design_2020-03-17 17_31_14_319.png  \n",
            "  inflating: train/design_2020-03-17 17_41_07_715.png  \n",
            "  inflating: train/design_2020-03-17 17_44_18_688.png  \n",
            " extracting: train/design_2020-03-17 17_44_40_832.png  \n",
            "  inflating: train/design_2020-03-17 17_49_02_468.png  \n",
            "  inflating: train/design_2020-03-17 17_50_06_111.png  \n",
            " extracting: train/design_2020-03-17 17_53_46_830.png  \n",
            "  inflating: train/design_2020-03-17 17_57_36_003.png  \n",
            "  inflating: train/design_2020-03-17 17_59_17_629.png  \n",
            "  inflating: train/design_2020-03-17 18_05_53_473.png  \n",
            " extracting: train/design_2020-03-17 18_12_08_324.png  \n",
            " extracting: train/design_2020-03-17 18_12_26_704.png  \n",
            "  inflating: train/design_2020-03-17 18_13_01_739.png  \n",
            " extracting: train/design_2020-03-17 22_10_36_830.png  \n",
            " extracting: train/design_2020-03-17 22_10_39_864.png  \n",
            " extracting: train/design_2020-03-17 22_10_40_456.png  \n",
            "  inflating: train/design_2020-03-17 22_31_53_380.png  \n",
            " extracting: train/design_2020-03-17 22_32_04_468.png  \n",
            "  inflating: train/design_2020-03-17 22_32_23_440.png  \n",
            " extracting: train/design_2020-03-17 22_32_28_644.png  \n",
            " extracting: train/design_2020-03-17 22_32_33_666.png  \n",
            " extracting: train/design_2020-03-17 22_32_36_771.png  \n",
            " extracting: train/design_2020-03-17 22_33_08_250.png  \n",
            " extracting: train/design_2020-03-17 22_54_52_879.png  \n",
            "  inflating: train/design_2020-03-17 22_55_44_293.png  \n",
            " extracting: train/design_2020-03-17 23_10_24_824.png  \n",
            " extracting: train/design_2020-03-17 23_15_00_979.png  \n",
            "  inflating: train/design_2020-03-17 23_15_22_195.png  \n",
            "  inflating: train/design_2020-03-17 23_15_31_080.png  \n",
            "  inflating: train/design_2020-03-17 23_15_39_735.png  \n",
            " extracting: train/design_2020-03-17 23_37_15_397.png  \n",
            " extracting: train/design_2020-03-17 23_37_48_116.png  \n",
            " extracting: train/design_2020-03-17 23_51_22_667.png  \n",
            " extracting: train/design_2020-03-17 23_53_37_515.png  \n",
            " extracting: train/design_2020-03-17 23_57_42_908.png  \n",
            " extracting: train/design_2020-03-17 23_57_57_445.png  \n",
            "  inflating: train/design_2020-03-17 23_57_59_166.png  \n",
            " extracting: train/design_2020-03-17 23_59_19_564.png  \n",
            " extracting: train/design_2020-03-18 00_13_06_532.png  \n",
            " extracting: train/design_2020-03-18 00_14_55_013.png  \n",
            "  inflating: train/design_2020-03-18 00_21_24_896.png  \n",
            " extracting: train/design_2020-03-18 00_21_26_470.png  \n",
            " extracting: train/design_2020-03-18 00_41_10_996.png  \n",
            "  inflating: train/design_2020-03-18 00_41_35_528.png  \n",
            " extracting: train/design_2020-03-18 00_41_56_932.png  \n",
            "  inflating: train/design_2020-03-18 00_42_09_171.png  \n",
            "  inflating: train/design_2020-03-18 00_55_47_379.png  \n",
            " extracting: train/design_2020-03-18 01_02_12_647.png  \n",
            " extracting: train/design_2020-03-18 01_02_47_781.png  \n",
            " extracting: train/design_2020-03-18 01_03_57_694.png  \n",
            " extracting: train/design_2020-03-18 01_04_31_627.png  \n",
            "  inflating: train/design_2020-03-18 01_04_48_401.png  \n",
            " extracting: train/design_2020-03-18 01_17_12_513.png  \n",
            " extracting: train/design_2020-03-18 01_23_43_954.png  \n",
            " extracting: train/design_2020-03-18 01_24_04_216.png  \n",
            " extracting: train/design_2020-03-18 01_25_55_304.png  \n",
            "  inflating: train/design_2020-03-18 01_26_20_726.png  \n",
            " extracting: train/design_2020-03-18 01_38_35_681.png  \n",
            " extracting: train/design_2020-03-18 01_44_44_202.png  \n",
            " extracting: train/design_2020-03-18 01_45_30_980.png  \n",
            " extracting: train/design_2020-03-18 01_45_51_402.png  \n",
            " extracting: train/design_2020-03-18 01_48_15_919.png  \n",
            " extracting: train/design_2020-03-18 02_07_10_146.png  \n",
            "  inflating: train/design_2020-03-18 02_08_01_759.png  \n",
            "  inflating: train/design_2020-03-18 02_09_13_611.png  \n",
            "  inflating: train/design_2020-03-18 02_09_32_601.png  \n",
            "  inflating: train/design_2020-03-18 02_10_51_214.png  \n",
            " extracting: train/design_2020-03-18 02_13_22_097.png  \n",
            " extracting: train/design_2020-03-18 02_17_32_242.png  \n",
            " extracting: train/design_2020-03-18 02_18_51_455.png  \n",
            " extracting: train/design_2020-03-18 02_29_03_937.png  \n",
            "  inflating: train/design_2020-03-18 02_31_29_245.png  \n",
            " extracting: train/design_2020-03-18 02_32_14_543.png  \n",
            " extracting: train/design_2020-03-18 02_35_05_117.png  \n",
            " extracting: train/design_2020-03-18 02_39_05_366.png  \n",
            " extracting: train/design_2020-03-18 02_40_28_885.png  \n",
            " extracting: train/design_2020-03-18 02_49_47_073.png  \n",
            "  inflating: train/design_2020-03-18 02_53_35_109.png  \n",
            " extracting: train/design_2020-03-18 02_57_22_865.png  \n",
            " extracting: train/design_2020-03-18 03_00_30_045.png  \n",
            " extracting: train/design_2020-03-18 03_02_36_491.png  \n",
            " extracting: train/design_2020-03-18 03_11_02_199.png  \n",
            "  inflating: train/design_2020-03-18 03_13_25_259.png  \n",
            "  inflating: train/design_2020-03-18 03_13_34_375.png  \n",
            " extracting: train/design_2020-03-18 03_22_02_860.png  \n",
            " extracting: train/design_2020-03-18 03_27_42_379.png  \n",
            " extracting: train/design_2020-03-18 03_31_53_907.png  \n",
            "  inflating: train/design_2020-03-18 03_34_18_408.png  \n",
            "  inflating: train/design_2020-03-18 03_34_59_887.png  \n",
            "  inflating: train/design_2020-03-18 03_36_49_615.png  \n",
            "  inflating: train/design_2020-03-18 03_39_56_408.png  \n",
            " extracting: train/design_2020-03-18 03_42_19_595.png  \n",
            "  inflating: train/design_2020-03-18 03_43_37_526.png  \n",
            " extracting: train/design_2020-03-18 03_44_36_491.png  \n",
            "  inflating: train/design_2020-03-18 03_53_29_923.png  \n",
            "  inflating: train/design_2020-03-18 03_59_12_310.png  \n",
            "  inflating: train/design_2020-03-18 04_01_42_443.png  \n",
            " extracting: train/design_2020-03-18 04_04_30_614.png  \n",
            "  inflating: train/design_2020-03-18 04_15_14_479.png  \n",
            "  inflating: train/design_2020-03-18 04_20_12_641.png  \n",
            "  inflating: train/design_2020-03-18 04_24_25_834.png  \n",
            " extracting: train/design_2020-03-18 04_25_02_940.png  \n",
            "  inflating: train/design_2020-03-18 04_25_43_055.png  \n",
            "  inflating: train/design_2020-03-18 04_37_47_504.png  \n",
            "  inflating: train/design_2020-03-18 04_39_25_427.png  \n",
            "  inflating: train/design_2020-03-18 04_42_24_122.png  \n",
            "  inflating: train/design_2020-03-18 04_46_10_413.png  \n",
            " extracting: train/design_2020-03-18 04_46_43_620.png  \n",
            " extracting: train/design_2020-03-18 04_47_19_457.png  \n",
            "  inflating: train/design_2020-03-18 04_59_48_787.png  \n",
            "  inflating: train/design_2020-03-18 05_01_31_536.png  \n",
            "  inflating: train/design_2020-03-18 05_03_40_626.png  \n",
            "  inflating: train/design_2020-03-18 05_07_27_265.png  \n",
            "  inflating: train/design_2020-03-18 05_08_52_499.png  \n",
            "  inflating: train/design_2020-03-18 05_28_28_254.png  \n",
            " extracting: train/design_2020-03-18 05_29_43_033.png  \n",
            "  inflating: train/design_2020-03-18 05_42_09_571.png  \n",
            "  inflating: train/design_2020-03-18 05_43_31_451.png  \n",
            "  inflating: train/design_2020-03-18 05_46_56_851.png  \n",
            " extracting: train/design_2020-03-18 05_51_16_079.png  \n",
            " extracting: train/design_2020-03-18 05_51_27_812.png  \n",
            "  inflating: train/design_2020-03-18 05_58_40_742.png  \n",
            "  inflating: train/design_2020-03-18 06_04_04_597.png  \n",
            "  inflating: train/design_2020-03-18 06_05_19_446.png  \n",
            "  inflating: train/design_2020-03-18 06_05_22_815.png  \n",
            "  inflating: train/design_2020-03-18 06_07_53_963.png  \n",
            "  inflating: train/design_2020-03-18 06_24_22_824.png  \n",
            "  inflating: train/design_2020-03-18 06_25_59_212.png  \n",
            "  inflating: train/design_2020-03-18 06_26_10_960.png  \n",
            "  inflating: train/design_2020-03-18 06_29_02_295.png  \n",
            "  inflating: train/design_2020-03-18 06_33_52_708.png  \n",
            " extracting: train/design_2020-03-18 06_34_27_960.png  \n",
            "  inflating: train/design_2020-03-18 06_40_14_053.png  \n",
            "  inflating: train/design_2020-03-18 06_45_29_708.png  \n",
            " extracting: train/design_2020-03-18 06_50_38_180.png  \n",
            "  inflating: train/design_2020-03-18 06_53_52_566.png  \n",
            "  inflating: train/design_2020-03-18 06_55_21_224.png  \n",
            " extracting: train/design_2020-03-18 07_09_21_018.png  \n",
            "  inflating: train/design_2020-03-18 07_09_33_281.png  \n",
            " extracting: train/design_2020-03-18 07_11_24_284.png  \n",
            " extracting: train/design_2020-03-18 07_16_48_179.png  \n",
            "  inflating: train/design_2020-03-18 07_27_57_392.png  \n",
            "  inflating: train/design_2020-03-18 07_31_41_442.png  \n",
            " extracting: train/design_2020-03-18 07_32_45_127.png  \n",
            "  inflating: train/design_2020-03-18 07_37_16_895.png  \n",
            "  inflating: train/design_2020-03-18 07_38_22_318.png  \n",
            " extracting: train/design_2020-03-18 07_54_17_420.png  \n",
            "  inflating: train/design_2020-03-18 07_59_45_391.png  \n",
            "  inflating: train/design_2020-03-18 08_05_19_217.png  \n",
            " extracting: train/design_2020-03-18 08_13_39_945.png  \n",
            " extracting: train/design_2020-03-18 08_15_50_443.png  \n",
            "  inflating: train/design_2020-03-18 08_20_24_373.png  \n",
            "  inflating: train/design_2020-03-18 08_21_03_886.png  \n",
            " extracting: train/design_2020-03-18 08_35_28_956.png  \n",
            "  inflating: train/design_2020-03-18 08_36_47_641.png  \n",
            "  inflating: train/design_2020-03-18 08_42_28_505.png  \n",
            " extracting: train/design_2020-03-18 08_42_46_589.png  \n",
            "  inflating: train/design_2020-03-18 08_47_41_323.png  \n",
            "  inflating: train/design_2020-03-18 08_53_02_660.png  \n",
            " extracting: train/design_2020-03-18 08_57_56_666.png  \n",
            "  inflating: train/design_2020-03-18 08_58_28_219.png  \n",
            " extracting: train/design_2020-03-18 09_04_18_841.png  \n",
            "  inflating: train/design_2020-03-18 09_18_43_594.png  \n",
            "  inflating: train/design_2020-03-18 09_19_19_808.png  \n",
            " extracting: train/design_2020-03-18 09_25_41_307.png  \n",
            "  inflating: train/design_2020-03-18 09_25_43_743.png  \n",
            " extracting: train/design_2020-03-18 09_36_28_608.png  \n",
            " extracting: train/design_2020-03-18 09_46_42_853.png  \n",
            " extracting: train/design_2020-03-18 09_47_36_731.png  \n",
            "  inflating: train/design_2020-03-18 09_51_56_154.png  \n",
            " extracting: train/design_2020-03-18 09_57_30_784.png  \n",
            "  inflating: train/design_2020-03-18 10_00_42_411.png  \n",
            " extracting: train/design_2020-03-18 10_01_22_352.png  \n",
            " extracting: train/design_2020-03-18 10_01_31_635.png  \n",
            " extracting: train/design_2020-03-18 10_01_52_384.png  \n",
            "  inflating: train/design_2020-03-18 10_19_54_463.png  \n",
            "  inflating: train/design_2020-03-18 10_21_59_945.png  \n",
            " extracting: train/design_2020-03-18 10_22_40_328.png  \n",
            " extracting: train/design_2020-03-18 10_23_18_540.png  \n",
            " extracting: train/design_2020-03-18 10_26_54_562.png  \n",
            "  inflating: train/design_2020-03-18 10_29_13_280.png  \n",
            " extracting: train/design_2020-03-18 10_35_50_104.png  \n",
            " extracting: train/design_2020-03-18 10_52_59_279.png  \n",
            " extracting: train/design_2020-03-18 11_03_31_431.png  \n",
            "  inflating: train/design_2020-03-18 11_05_47_231.png  \n",
            " extracting: train/design_2020-03-18 11_10_49_193.png  \n",
            " extracting: train/design_2020-03-18 11_14_30_694.png  \n",
            "  inflating: train/design_2020-03-18 11_19_30_970.png  \n",
            "  inflating: train/design_2020-03-18 11_27_23_981.png  \n",
            " extracting: train/design_2020-03-18 11_27_24_420.png  \n",
            " extracting: train/design_2020-03-18 11_28_53_745.png  \n",
            "  inflating: train/design_2020-03-18 11_41_02_495.png  \n",
            " extracting: train/design_2020-03-18 11_49_13_160.png  \n",
            " extracting: train/design_2020-03-18 11_52_28_451.png  \n",
            "  inflating: train/design_2020-03-18 11_54_47_647.png  \n",
            " extracting: train/design_2020-03-18 12_09_16_404.png  \n",
            "  inflating: train/design_2020-03-18 12_10_16_221.png  \n",
            "  inflating: train/design_2020-03-18 12_10_25_563.png  \n",
            " extracting: train/design_2020-03-18 12_11_48_374.png  \n",
            " extracting: train/design_2020-03-18 12_17_56_838.png  \n",
            "  inflating: train/design_2020-03-18 12_32_25_240.png  \n",
            " extracting: train/design_2020-03-18 12_37_13_905.png  \n",
            "  inflating: train/design_2020-03-18 12_53_19_388.png  \n",
            "  inflating: train/design_2020-03-18 12_54_27_198.png  \n",
            " extracting: train/design_2020-03-18 13_01_20_939.png  \n",
            "  inflating: train/design_2020-03-18 13_07_50_160.png  \n",
            "  inflating: train/design_2020-03-18 13_11_44_139.png  \n",
            "  inflating: train/design_2020-03-18 13_15_29_520.png  \n",
            "  inflating: train/design_2020-03-18 13_29_40_667.png  \n",
            " extracting: train/design_2020-03-18 13_30_42_237.png  \n",
            " extracting: train/design_2020-03-18 13_33_17_192.png  \n",
            "  inflating: train/design_2020-03-18 13_37_11_662.png  \n",
            " extracting: train/design_2020-03-18 13_40_51_839.png  \n",
            " extracting: train/design_2020-03-18 13_52_21_954.png  \n",
            "  inflating: train/design_2020-03-18 13_59_30_103.png  \n",
            "  inflating: train/design_2020-03-18 14_13_55_653.png  \n",
            "  inflating: train/design_2020-03-18 14_21_20_699.png  \n",
            "  inflating: train/design_2020-03-18 14_22_10_155.png  \n",
            " extracting: train/design_2020-03-18 14_22_21_317.png  \n",
            " extracting: train/design_2020-03-18 14_28_28_602.png  \n",
            "  inflating: train/design_2020-03-18 14_35_23_350.png  \n",
            " extracting: train/design_2020-03-18 14_38_03_968.png  \n",
            "  inflating: train/design_2020-03-18 14_42_21_755.png  \n",
            "  inflating: train/design_2020-03-18 14_43_23_234.png  \n",
            "  inflating: train/design_2020-03-18 14_44_17_531.png  \n",
            "  inflating: train/design_2020-03-18 14_47_54_212.png  \n",
            " extracting: train/design_2020-03-18 14_49_16_232.png  \n",
            "  inflating: train/design_2020-03-18 14_56_25_697.png  \n",
            " extracting: train/design_2020-03-18 14_59_09_459.png  \n",
            "  inflating: train/design_2020-03-18 15_03_52_718.png  \n",
            " extracting: train/design_2020-03-18 15_03_53_095.png  \n",
            " extracting: train/design_2020-03-18 15_08_19_436.png  \n",
            "  inflating: train/design_2020-03-18 15_10_37_833.png  \n",
            " extracting: train/design_2020-03-18 15_24_51_318.png  \n",
            " extracting: train/design_2020-03-18 15_26_53_700.png  \n",
            "  inflating: train/design_2020-03-18 15_29_44_526.png  \n",
            "  inflating: train/design_2020-03-18 15_42_00_447.png  \n",
            " extracting: train/design_2020-03-18 15_48_08_720.png  \n",
            " extracting: train/design_2020-03-18 15_48_11_591.png  \n",
            "  inflating: train/design_2020-03-18 15_52_07_254.png  \n",
            " extracting: train/design_2020-03-18 15_52_08_949.png  \n",
            "  inflating: train/design_2020-03-18 16_02_29_366.png  \n",
            " extracting: train/design_2020-03-18 16_08_10_927.png  \n",
            " extracting: train/design_2020-03-18 16_10_36_168.png  \n",
            "  inflating: train/design_2020-03-18 16_10_50_601.png  \n",
            "  inflating: train/design_2020-03-18 16_13_15_604.png  \n",
            " extracting: train/design_2020-03-18 16_13_41_497.png  \n",
            " extracting: train/design_2020-03-18 16_27_32_327.png  \n",
            " extracting: train/design_2020-03-18 16_32_18_793.png  \n",
            " extracting: train/design_2020-03-18 16_32_22_676.png  \n",
            " extracting: train/design_2020-03-18 16_48_18_400.png  \n",
            "  inflating: train/design_2020-03-18 16_56_05_587.png  \n",
            "  inflating: train/design_2020-03-18 17_07_58_755.png  \n",
            "  inflating: train/design_2020-03-18 17_08_03_337.png  \n",
            " extracting: train/design_2020-03-18 17_15_16_028.png  \n",
            " extracting: train/design_2020-03-18 17_17_37_250.png  \n",
            "  inflating: train/design_2020-03-18 17_17_46_403.png  \n",
            "  inflating: train/design_2020-03-18 17_29_53_486.png  \n",
            " extracting: train/design_2020-03-18 17_31_50_352.png  \n",
            " extracting: train/design_2020-03-18 17_36_26_360.png  \n",
            " extracting: train/design_2020-03-18 17_37_32_503.png  \n",
            " extracting: train/design_2020-03-18 17_38_24_417.png  \n",
            "  inflating: train/design_2020-03-18 17_47_14_769.png  \n",
            "  inflating: train/design_2020-03-18 17_50_27_088.png  \n",
            "  inflating: train/design_2020-03-18 17_51_26_642.png  \n",
            "  inflating: train/design_2020-03-18 17_53_38_801.png  \n",
            " extracting: train/design_2020-03-18 17_57_07_843.png  \n",
            " extracting: train/design_2020-03-18 17_57_48_072.png  \n",
            "  inflating: train/design_2020-03-18 17_58_41_364.png  \n",
            " extracting: train/design_2020-03-18 18_01_00_439.png  \n",
            " extracting: train/design_2020-03-18 18_12_00_303.png  \n",
            " extracting: train/design_2020-03-18 18_19_26_677.png  \n",
            " extracting: train/design_2020-03-18 18_19_31_887.png  \n",
            " extracting: train/design_2020-03-18 18_21_55_139.png  \n",
            "  inflating: train/design_2020-03-18 18_41_35_074.png  \n",
            " extracting: train/design_2020-03-18 18_42_04_048.png  \n",
            "  inflating: train/design_2020-03-18 18_52_13_310.png  \n",
            "  inflating: train/design_2020-03-18 19_03_02_060.png  \n",
            " extracting: train/design_2020-03-18 19_24_28_718.png  \n",
            " extracting: train/design_2020-03-18 19_24_30_423.png  \n",
            " extracting: train/design_2020-03-18 19_26_54_342.png  \n",
            " extracting: train/design_2020-03-18 19_38_23_856.png  \n",
            " extracting: train/design_2020-03-18 19_48_47_210.png  \n",
            " extracting: train/design_2020-03-18 19_55_19_543.png  \n",
            " extracting: train/design_2020-03-18 20_16_35_500.png  \n",
            "  inflating: train/design_2020-03-18 20_19_03_871.png  \n",
            "  inflating: train/design_2020-03-18 20_25_39_099.png  \n",
            " extracting: train/design_2020-03-18 20_32_21_012.png  \n",
            " extracting: train/design_2020-03-18 20_40_26_812.png  \n",
            " extracting: train/design_2020-03-18 20_46_56_649.png  \n",
            " extracting: train/design_2020-03-18 20_49_05_308.png  \n",
            " extracting: train/design_2020-03-18 20_50_28_509.png  \n",
            " extracting: train/design_2020-03-18 20_50_45_805.png  \n",
            " extracting: train/design_2020-03-18 21_05_07_263.png  \n",
            " extracting: train/design_2020-03-18 21_12_16_626.png  \n",
            "  inflating: train/design_2020-03-18 21_12_47_738.png  \n",
            "  inflating: train/design_2020-03-18 21_13_49_480.png  \n",
            " extracting: train/design_2020-03-18 21_22_57_775.png  \n",
            "  inflating: train/design_2020-03-18 21_34_53_835.png  \n",
            " extracting: train/design_2020-03-18 21_53_19_828.png  \n",
            " extracting: train/design_2020-03-18 21_56_04_709.png  \n",
            " extracting: train/design_2020-03-18 21_56_08_986.png  \n",
            "  inflating: train/design_2020-03-18 21_57_14_815.png  \n",
            "  inflating: train/design_2020-03-18 22_15_41_141.png  \n",
            "  inflating: train/design_2020-03-18 22_17_28_407.png  \n",
            " extracting: train/design_2020-03-18 22_17_40_143.png  \n",
            "  inflating: train/design_2020-03-18 22_25_57_731.png  \n",
            " extracting: train/design_2020-03-18 22_34_59_005.png  \n",
            "  inflating: train/design_2020-03-18 22_49_01_398.png  \n",
            " extracting: train/design_2020-03-18 22_49_17_868.png  \n",
            "  inflating: train/design_2020-03-18 22_58_52_177.png  \n",
            "  inflating: train/design_2020-03-18 23_01_16_559.png  \n",
            "  inflating: train/design_2020-03-18 23_03_09_450.png  \n",
            " extracting: train/design_2020-03-18 23_10_19_383.png  \n",
            "  inflating: train/design_2020-03-18 23_13_51_272.png  \n",
            " extracting: train/design_2020-03-18 23_18_13_847.png  \n",
            "  inflating: train/design_2020-03-18 23_20_54_587.png  \n",
            "  inflating: train/design_2020-03-18 23_35_14_571.png  \n",
            " extracting: train/design_2020-03-18 23_39_36_222.png  \n",
            "  inflating: train/design_2020-03-18 23_42_33_725.png  \n",
            " extracting: train/design_2020-03-18 23_44_12_742.png  \n",
            "  inflating: train/design_2020-03-19 00_17_06_320.png  \n",
            "  inflating: train/design_2020-03-19 00_22_44_121.png  \n",
            " extracting: train/design_2020-03-19 02_32_27_232.png  \n",
            " extracting: train/design_2020-03-19 03_15_49_856.png  \n",
            " extracting: train/design_2020-03-19 03_35_05_459.png  \n",
            " extracting: train/design_2020-03-19 03_36_46_171.png  \n",
            " extracting: train/design_2020-03-19 03_54_29_995.png  \n",
            " extracting: train/design_2020-03-19 03_58_25_095.png  \n",
            " extracting: train/design_2020-03-19 03_59_35_289.png  \n",
            "  inflating: train/design_2020-03-19 04_10_09_922.png  \n",
            "  inflating: train/design_2020-03-19 04_16_53_775.png  \n",
            " extracting: train/design_2020-03-19 04_19_46_994.png  \n",
            " extracting: train/design_2020-03-19 04_23_17_593.png  \n",
            " extracting: train/design_2020-03-19 04_31_08_913.png  \n",
            "  inflating: train/design_2020-03-19 04_36_51_084.png  \n",
            " extracting: train/design_2020-03-19 04_37_53_112.png  \n",
            " extracting: train/design_2020-03-19 04_40_47_249.png  \n",
            " extracting: train/design_2020-03-19 04_42_48_251.png  \n",
            " extracting: train/design_2020-03-19 04_55_03_327.png  \n",
            " extracting: train/design_2020-03-19 04_57_53_333.png  \n",
            "  inflating: train/design_2020-03-19 04_58_52_063.png  \n",
            "  inflating: train/design_2020-03-19 04_59_10_487.png  \n",
            " extracting: train/design_2020-03-19 05_00_56_848.png  \n",
            " extracting: train/design_2020-03-19 05_02_30_437.png  \n",
            " extracting: train/design_2020-03-19 05_20_05_931.png  \n",
            " extracting: train/design_2020-03-19 05_21_34_349.png  \n",
            "  inflating: train/design_2020-03-19 05_34_15_121.png  \n",
            " extracting: train/design_2020-03-19 05_42_13_746.png  \n",
            "  inflating: train/design_2020-03-19 05_44_00_868.png  \n",
            "  inflating: train/design_2020-03-19 05_45_13_889.png  \n",
            "  inflating: train/design_2020-03-19 05_47_45_249.png  \n",
            " extracting: train/design_2020-03-19 06_04_07_358.png  \n",
            " extracting: train/design_2020-03-19 06_04_34_437.png  \n",
            " extracting: train/design_2020-03-19 06_04_53_082.png  \n",
            "  inflating: train/design_2020-03-19 06_11_42_802.png  \n",
            "  inflating: train/design_2020-03-19 06_21_45_912.png  \n",
            "  inflating: train/design_2020-03-19 06_31_11_787.png  \n",
            "  inflating: train/design_2020-03-19 06_34_06_205.png  \n",
            "  inflating: train/design_2020-03-19 06_39_05_201.png  \n",
            "  inflating: train/design_2020-03-19 06_45_52_028.png  \n",
            " extracting: train/design_2020-03-19 06_47_42_514.png  \n",
            " extracting: train/design_2020-03-19 06_48_13_373.png  \n",
            "  inflating: train/design_2020-03-19 06_55_34_234.png  \n",
            "  inflating: train/design_2020-03-19 07_00_49_906.png  \n",
            " extracting: train/design_2020-03-19 07_09_09_159.png  \n",
            " extracting: train/design_2020-03-19 07_11_52_782.png  \n",
            "  inflating: train/design_2020-03-19 07_14_45_794.png  \n",
            "  inflating: train/design_2020-03-19 07_22_15_076.png  \n",
            " extracting: train/design_2020-03-19 07_31_08_226.png  \n",
            " extracting: train/design_2020-03-19 07_31_34_456.png  \n",
            " extracting: train/design_2020-03-19 07_32_51_865.png  \n",
            "  inflating: train/design_2020-03-19 07_39_09_458.png  \n",
            " extracting: train/design_2020-03-19 07_43_37_363.png  \n",
            "  inflating: train/design_2020-03-19 07_48_03_702.png  \n",
            "  inflating: train/design_2020-03-19 07_49_42_980.png  \n",
            "  inflating: train/design_2020-03-19 07_50_46_544.png  \n",
            " extracting: train/design_2020-03-19 07_51_50_815.png  \n",
            " extracting: train/design_2020-03-19 07_55_57_904.png  \n",
            "  inflating: train/design_2020-03-19 07_57_22_058.png  \n",
            " extracting: train/design_2020-03-19 08_06_13_243.png  \n",
            " extracting: train/design_2020-03-19 08_14_15_390.png  \n",
            " extracting: train/design_2020-03-19 08_17_16_814.png  \n",
            "  inflating: train/design_2020-03-19 08_21_30_325.png  \n",
            " extracting: train/design_2020-03-19 08_35_04_964.png  \n",
            "  inflating: train/design_2020-03-19 08_35_19_050.png  \n",
            " extracting: train/design_2020-03-19 08_38_48_249.png  \n",
            "  inflating: train/design_2020-03-19 08_40_34_080.png  \n",
            " extracting: train/design_2020-03-19 08_43_19_011.png  \n",
            " extracting: train/design_2020-03-19 08_49_36_222.png  \n",
            " extracting: train/design_2020-03-19 08_57_17_904.png  \n",
            " extracting: train/design_2020-03-19 08_58_39_199.png  \n",
            " extracting: train/design_2020-03-19 09_04_48_293.png  \n",
            " extracting: train/design_2020-03-19 09_17_46_448.png  \n",
            " extracting: train/design_2020-03-19 09_19_56_316.png  \n",
            "  inflating: train/design_2020-03-19 09_26_03_618.png  \n",
            " extracting: train/design_2020-03-19 09_29_24_950.png  \n",
            "  inflating: train/design_2020-03-19 09_40_11_945.png  \n",
            " extracting: train/design_2020-03-19 09_40_50_219.png  \n",
            " extracting: train/design_2020-03-19 09_58_37_826.png  \n",
            " extracting: train/design_2020-03-19 10_01_21_633.png  \n",
            "  inflating: train/design_2020-03-19 10_08_17_475.png  \n",
            " extracting: train/design_2020-03-19 10_09_37_606.png  \n",
            " extracting: train/design_2020-03-19 10_22_11_280.png  \n",
            " extracting: train/design_2020-03-19 10_22_56_489.png  \n",
            " extracting: train/design_2020-03-19 10_23_08_549.png  \n",
            " extracting: train/design_2020-03-19 10_32_53_455.png  \n",
            " extracting: train/design_2020-03-19 10_34_31_847.png  \n",
            " extracting: train/design_2020-03-19 10_41_35_376.png  \n",
            " extracting: train/design_2020-03-19 10_44_07_280.png  \n",
            " extracting: train/design_2020-03-19 11_05_20_605.png  \n",
            "  inflating: train/design_2020-03-19 11_11_40_841.png  \n",
            " extracting: train/design_2020-03-19 11_16_20_890.png  \n",
            " extracting: train/design_2020-03-19 11_16_59_616.png  \n",
            "  inflating: train/design_2020-03-19 11_26_43_128.png  \n",
            "  inflating: train/design_2020-03-19 11_28_24_238.png  \n",
            " extracting: train/design_2020-03-19 11_38_44_414.png  \n",
            " extracting: train/design_2020-03-19 11_48_24_184.png  \n",
            "  inflating: train/design_2020-03-19 11_55_04_127.png  \n",
            "  inflating: train/design_2020-03-19 12_08_41_538.png  \n",
            " extracting: train/design_2020-03-19 12_10_03_831.png  \n",
            " extracting: train/design_2020-03-19 12_21_40_269.png  \n",
            "  inflating: train/design_2020-03-19 12_30_40_227.png  \n",
            " extracting: train/design_2020-03-19 12_33_20_460.png  \n",
            "  inflating: train/design_2020-03-19 12_38_28_213.png  \n",
            " extracting: train/design_2020-03-19 12_42_25_270.png  \n",
            " extracting: train/design_2020-03-19 12_43_17_365.png  \n",
            " extracting: train/design_2020-03-19 12_43_53_906.png  \n",
            "  inflating: train/design_2020-03-19 12_52_00_077.png  \n",
            " extracting: train/design_2020-03-19 13_03_49_231.png  \n",
            "  inflating: train/design_2020-03-19 13_13_16_421.png  \n",
            " extracting: train/design_2020-03-19 13_26_44_218.png  \n",
            "  inflating: train/design_2020-03-19 13_34_19_669.png  \n",
            "  inflating: train/design_2020-03-19 13_34_31_011.png  \n",
            "  inflating: train/design_2020-03-19 13_36_07_495.png  \n",
            "  inflating: train/design_2020-03-19 13_42_16_909.png  \n",
            " extracting: train/design_2020-03-19 13_46_16_750.png  \n",
            "  inflating: train/design_2020-03-19 13_48_56_598.png  \n",
            "  inflating: train/design_2020-03-19 13_55_25_222.png  \n",
            " extracting: train/design_2020-03-19 13_56_09_342.png  \n",
            " extracting: train/design_2020-03-19 13_59_48_583.png  \n",
            " extracting: train/design_2020-03-19 14_07_30_859.png  \n",
            "  inflating: train/design_2020-03-19 14_10_03_794.png  \n",
            " extracting: train/design_2020-03-19 14_18_03_084.png  \n",
            "  inflating: train/design_2020-03-19 14_28_44_084.png  \n",
            " extracting: train/design_2020-03-19 14_29_08_015.png  \n",
            "  inflating: train/design_2020-03-19 14_34_32_700.png  \n",
            " extracting: train/design_2020-03-19 14_39_33_439.png  \n",
            "  inflating: train/design_2020-03-19 14_43_05_507.png  \n",
            " extracting: train/design_2020-03-19 14_51_02_447.png  \n",
            "  inflating: train/design_2020-04-17 23_54_23_866.png  \n",
            "  inflating: train/design_2020-04-18 00_01_03_178.png  \n",
            "  inflating: train/design_2020-04-18 00_01_39_115.png  \n",
            "  inflating: train/design_2020-04-18 00_03_17_128.png  \n",
            " extracting: train/design_2020-04-18 00_03_40_742.png  \n",
            " extracting: train/design_2020-04-18 00_03_41_519.png  \n",
            "  inflating: train/design_2020-04-18 00_04_01_896.png  \n",
            "  inflating: train/design_2020-04-18 00_04_47_257.png  \n",
            "  inflating: train/design_2020-04-18 00_05_09_841.png  \n",
            "  inflating: train/design_2020-04-18 00_05_33_270.png  \n",
            "  inflating: train/design_2020-04-18 00_06_18_746.png  \n",
            "  inflating: train/design_2020-04-18 00_06_19_355.png  \n",
            "  inflating: train/design_2020-04-18 00_07_03_339.png  \n",
            "  inflating: train/design_2020-04-18 00_09_26_327.png  \n",
            " extracting: train/design_2020-04-18 00_09_43_222.png  \n",
            "  inflating: train/design_2020-04-18 00_11_14_921.png  \n",
            " extracting: train/design_2020-04-18 00_14_14_214.png  \n",
            "  inflating: train/design_2020-04-18 00_14_18_851.png  \n",
            "  inflating: train/design_2020-04-18 00_15_47_151.png  \n",
            "  inflating: train/design_2020-04-18 00_17_20_231.png  \n",
            " extracting: train/design_2020-04-18 00_23_16_114.png  \n",
            "  inflating: train/design_2020-04-18 00_23_19_604.png  \n",
            "  inflating: train/design_2020-04-18 00_24_48_930.png  \n",
            " extracting: train/design_2020-04-18 00_26_42_005.png  \n",
            " extracting: train/design_2020-04-18 00_29_21_053.png  \n",
            " extracting: train/design_2020-04-18 00_30_07_811.png  \n",
            "  inflating: train/design_2020-04-18 00_31_37_764.png  \n",
            "  inflating: train/design_2020-04-18 00_33_05_782.png  \n",
            " extracting: train/design_2020-04-18 00_36_40_306.png  \n",
            "  inflating: train/design_2020-04-18 00_37_36_405.png  \n",
            "  inflating: train/design_2020-04-18 00_39_05_510.png  \n",
            "  inflating: train/design_2020-04-18 00_42_04_712.png  \n",
            " extracting: train/design_2020-04-18 00_45_44_781.png  \n",
            " extracting: train/design_2020-04-18 00_59_19_958.png  \n",
            " extracting: train/design_2020-04-18 01_01_45_261.png  \n",
            " extracting: train/design_2020-04-18 01_03_26_357.png  \n",
            " extracting: train/design_2020-04-18 01_05_37_059.png  \n",
            "  inflating: train/design_2020-04-18 01_06_29_165.png  \n",
            " extracting: train/design_2020-04-18 01_12_03_767.png  \n",
            "  inflating: train/design_2020-04-18 01_14_31_394.png  \n",
            "  inflating: train/design_2020-04-18 01_15_41_675.png  \n",
            " extracting: train/design_2020-04-18 01_20_49_038.png  \n",
            "  inflating: train/design_2020-04-18 01_22_32_052.png  \n",
            "  inflating: train/design_2020-04-18 01_23_08_580.png  \n",
            "  inflating: train/design_2020-04-18 01_25_01_308.png  \n",
            " extracting: train/design_2020-04-18 01_25_47_207.png  \n",
            "  inflating: train/design_2020-04-18 01_29_12_852.png  \n",
            " extracting: train/design_2020-04-18 01_31_10_457.png  \n",
            " extracting: train/design_2020-04-18 01_33_30_396.png  \n",
            "  inflating: train/design_2020-04-18 01_37_32_783.png  \n",
            " extracting: train/design_2020-04-18 01_42_22_214.png  \n",
            "  inflating: train/design_2020-04-18 01_49_02_938.png  \n",
            " extracting: train/design_2020-04-18 01_49_30_602.png  \n",
            "  inflating: train/design_2020-04-18 01_51_23_431.png  \n",
            " extracting: train/design_2020-04-18 01_52_30_687.png  \n",
            " extracting: train/design_2020-04-18 01_55_27_953.png  \n",
            " extracting: train/design_2020-04-18 01_56_25_461.png  \n",
            "  inflating: train/design_2020-04-18 01_58_01_528.png  \n",
            " extracting: train/design_2020-04-18 01_58_55_304.png  \n",
            "  inflating: train/design_2020-04-18 02_00_17_200.png  \n",
            " extracting: train/design_2020-04-18 02_01_52_237.png  \n",
            "  inflating: train/design_2020-04-18 02_02_30_888.png  \n",
            " extracting: train/design_2020-04-18 02_04_45_726.png  \n",
            "  inflating: train/design_2020-04-18 02_05_30_910.png  \n",
            " extracting: train/design_2020-04-18 02_06_13_632.png  \n",
            " extracting: train/design_2020-04-18 02_07_04_109.png  \n",
            "  inflating: train/design_2020-04-18 02_07_06_560.png  \n",
            " extracting: train/design_2020-04-18 02_07_42_087.png  \n",
            "  inflating: train/design_2020-04-18 02_08_39_997.png  \n",
            " extracting: train/design_2020-04-18 02_09_32_635.png  \n",
            " extracting: train/design_2020-04-18 02_10_18_809.png  \n",
            " extracting: train/design_2020-04-18 02_10_35_083.png  \n",
            "  inflating: train/design_2020-04-18 02_11_38_252.png  \n",
            "  inflating: train/design_2020-04-18 02_12_33_071.png  \n",
            "  inflating: train/design_2020-04-18 02_13_11_133.png  \n",
            " extracting: train/design_2020-04-18 02_13_31_359.png  \n",
            "  inflating: train/design_2020-04-18 02_14_41_327.png  \n",
            " extracting: train/design_2020-04-18 02_16_29_645.png  \n",
            "  inflating: train/design_2020-04-18 02_18_56_102.png  \n",
            "  inflating: train/design_2020-04-18 02_21_23_383.png  \n",
            " extracting: train/design_2020-04-18 02_26_40_912.png  \n",
            " extracting: train/design_2020-04-18 02_27_55_247.png  \n",
            "  inflating: train/design_2020-04-18 02_28_00_173.png  \n",
            " extracting: train/design_2020-04-18 02_30_38_275.png  \n",
            " extracting: train/design_2020-04-18 02_36_57_565.png  \n",
            " extracting: train/design_2020-04-18 02_39_58_844.png  \n",
            "  inflating: train/design_2020-04-18 02_41_11_466.png  \n",
            " extracting: train/design_2020-04-18 02_41_12_082.png  \n",
            " extracting: train/design_2020-04-18 02_42_00_364.png  \n",
            " extracting: train/design_2020-04-18 02_42_46_474.png  \n",
            " extracting: train/design_2020-04-18 02_44_25_741.png  \n",
            "  inflating: train/design_2020-04-18 02_45_06_156.png  \n",
            " extracting: train/design_2020-04-18 02_45_07_531.png  \n",
            " extracting: train/design_2020-04-18 02_45_51_891.png  \n",
            "  inflating: train/design_2020-04-18 02_47_22_022.png  \n",
            " extracting: train/design_2020-04-18 02_48_16_285.png  \n",
            "  inflating: train/design_2020-04-18 02_48_50_601.png  \n",
            " extracting: train/design_2020-04-18 02_49_56_715.png  \n",
            " extracting: train/design_2020-04-18 02_50_25_841.png  \n",
            " extracting: train/design_2020-04-18 02_51_27_296.png  \n",
            "  inflating: train/design_2020-04-18 02_53_20_255.png  \n",
            "  inflating: train/design_2020-04-18 02_54_49_198.png  \n",
            "  inflating: train/design_2020-04-18 02_56_26_964.png  \n",
            " extracting: train/design_2020-04-18 02_57_07_228.png  \n",
            " extracting: train/design_2020-04-18 02_58_15_126.png  \n",
            " extracting: train/design_2020-04-18 03_00_08_462.png  \n",
            " extracting: train/design_2020-04-18 03_01_33_318.png  \n",
            " extracting: train/design_2020-04-18 03_02_06_974.png  \n",
            " extracting: train/design_2020-04-18 03_03_03_109.png  \n",
            "  inflating: train/design_2020-04-18 03_03_53_755.png  \n",
            " extracting: train/design_2020-04-18 03_04_29_584.png  \n",
            " extracting: train/design_2020-04-18 03_04_40_704.png  \n",
            " extracting: train/design_2020-04-18 03_05_57_677.png  \n",
            " extracting: train/design_2020-04-18 03_06_30_860.png  \n",
            " extracting: train/design_2020-04-18 03_07_23_500.png  \n",
            " extracting: train/design_2020-04-18 03_07_46_796.png  \n",
            " extracting: train/design_2020-04-18 03_08_50_295.png  \n",
            " extracting: train/design_2020-04-18 03_10_54_859.png  \n",
            "  inflating: train/design_2020-04-18 03_12_30_539.png  \n",
            "  inflating: train/design_2020-04-18 03_14_36_153.png  \n",
            " extracting: train/design_2020-04-18 03_15_18_662.png  \n",
            "  inflating: train/design_2020-04-18 03_16_24_417.png  \n",
            " extracting: train/design_2020-04-18 03_16_49_638.png  \n",
            "  inflating: train/design_2020-04-18 03_20_24_329.png  \n",
            " extracting: train/design_2020-04-18 03_22_36_693.png  \n",
            " extracting: train/design_2020-04-18 03_25_15_138.png  \n",
            " extracting: train/design_2020-04-18 03_25_43_209.png  \n",
            " extracting: train/design_2020-04-18 03_26_33_615.png  \n",
            " extracting: train/design_2020-04-18 03_27_11_696.png  \n",
            " extracting: train/design_2020-04-18 03_33_39_278.png  \n",
            " extracting: train/design_2020-04-18 03_34_16_540.png  \n",
            " extracting: train/design_2020-04-18 03_35_50_321.png  \n",
            " extracting: train/design_2020-04-18 03_36_37_356.png  \n",
            " extracting: train/design_2020-04-18 03_37_23_793.png  \n",
            " extracting: train/design_2020-04-18 03_38_58_029.png  \n",
            " extracting: train/design_2020-04-18 03_39_44_734.png  \n",
            " extracting: train/design_2020-04-18 03_39_59_832.png  \n",
            "  inflating: train/design_2020-04-18 03_43_15_698.png  \n",
            "  inflating: train/design_2020-04-18 03_47_49_481.png  \n",
            "  inflating: train/design_2020-04-18 03_49_22_193.png  \n",
            "  inflating: train/design_2020-04-18 03_50_53_079.png  \n",
            " extracting: train/design_2020-04-18 03_51_14_716.png  \n",
            " extracting: train/design_2020-04-18 03_52_40_179.png  \n",
            "  inflating: train/design_2020-04-18 03_53_37_627.png  \n",
            "  inflating: train/design_2020-04-18 03_54_38_819.png  \n",
            "  inflating: train/design_2020-04-18 03_56_46_423.png  \n",
            "  inflating: train/design_2020-04-18 03_57_32_918.png  \n",
            " extracting: train/design_2020-04-18 03_58_28_512.png  \n",
            " extracting: train/design_2020-04-18 03_59_56_152.png  \n",
            "  inflating: train/design_2020-04-18 04_00_35_092.png  \n",
            " extracting: train/design_2020-04-18 04_01_23_534.png  \n",
            "  inflating: train/design_2020-04-18 04_02_58_808.png  \n",
            "  inflating: train/design_2020-04-18 04_03_34_663.png  \n",
            "  inflating: train/design_2020-04-18 04_05_43_713.png  \n",
            " extracting: train/design_2020-04-18 04_09_48_714.png  \n",
            "  inflating: train/design_2020-04-18 04_14_31_572.png  \n",
            " extracting: train/design_2020-04-18 04_19_57_218.png  \n",
            " extracting: train/design_2020-04-18 04_21_04_125.png  \n",
            "  inflating: train/design_2020-04-18 04_21_19_583.png  \n",
            " extracting: train/design_2020-04-18 04_22_50_384.png  \n",
            " extracting: train/design_2020-04-18 04_23_20_960.png  \n",
            " extracting: train/design_2020-04-18 04_24_06_414.png  \n",
            " extracting: train/design_2020-04-18 04_24_52_922.png  \n",
            " extracting: train/design_2020-04-18 04_31_59_261.png  \n",
            " extracting: train/design_2020-04-18 04_33_28_853.png  \n",
            "  inflating: train/design_2020-04-18 04_44_33_234.png  \n",
            " extracting: train/design_2020-04-18 04_44_34_806.png  \n",
            " extracting: train/design_2020-04-18 04_51_05_675.png  \n",
            "  inflating: train/design_2020-04-18 04_52_06_214.png  \n",
            "  inflating: train/design_2020-04-18 04_53_36_229.png  \n",
            "  inflating: train/design_2020-04-18 04_55_16_138.png  \n",
            "  inflating: train/design_2020-04-18 04_57_19_021.png  \n",
            "  inflating: train/design_2020-04-18 05_02_32_005.png  \n",
            "  inflating: train/design_2020-04-18 05_03_43_095.png  \n",
            "  inflating: train/design_2020-04-18 05_04_11_094.png  \n",
            "  inflating: train/design_2020-04-18 05_05_44_875.png  \n",
            " extracting: train/design_2020-04-18 05_08_27_605.png  \n",
            "  inflating: train/design_2020-04-18 05_08_51_342.png  \n",
            "  inflating: train/design_2020-04-18 05_09_47_336.png  \n",
            " extracting: train/design_2020-04-18 05_10_34_774.png  \n",
            " extracting: train/design_2020-04-18 05_11_19_599.png  \n",
            " extracting: train/design_2020-04-18 05_11_43_882.png  \n",
            " extracting: train/design_2020-04-18 05_12_09_499.png  \n",
            " extracting: train/design_2020-04-18 05_13_44_751.png  \n",
            " extracting: train/design_2020-04-18 05_13_55_858.png  \n",
            "  inflating: train/design_2020-04-18 05_14_04_354.png  \n",
            " extracting: train/design_2020-04-18 05_15_20_841.png  \n",
            " extracting: train/design_2020-04-18 05_16_07_368.png  \n",
            "  inflating: train/design_2020-04-18 05_16_55_061.png  \n",
            " extracting: train/design_2020-04-18 05_17_04_330.png  \n",
            " extracting: train/design_2020-04-18 05_17_27_802.png  \n",
            "  inflating: train/design_2020-04-18 05_19_56_307.png  \n",
            "  inflating: train/design_2020-04-18 05_20_03_860.png  \n",
            " extracting: train/design_2020-04-18 05_22_59_319.png  \n",
            "  inflating: train/design_2020-04-18 05_23_57_253.png  \n",
            "  inflating: train/design_2020-04-18 05_24_41_201.png  \n",
            "  inflating: train/design_2020-04-18 05_26_58_286.png  \n",
            "  inflating: train/design_2020-04-18 05_29_57_426.png  \n",
            "  inflating: train/design_2020-04-18 05_32_09_934.png  \n",
            "  inflating: train/design_2020-04-18 05_32_55_352.png  \n",
            "  inflating: train/design_2020-04-18 05_34_24_377.png  \n",
            " extracting: train/design_2020-04-18 05_34_44_494.png  \n",
            "  inflating: train/design_2020-04-18 05_35_11_544.png  \n",
            "  inflating: train/design_2020-04-18 05_36_19_677.png  \n",
            " extracting: train/design_2020-04-18 05_37_33_981.png  \n",
            "  inflating: train/design_2020-04-18 05_38_19_068.png  \n",
            "  inflating: train/design_2020-04-18 05_38_19_918.png  \n",
            " extracting: train/design_2020-04-18 05_38_52_419.png  \n",
            "  inflating: train/design_2020-04-18 05_39_06_945.png  \n",
            " extracting: train/design_2020-04-18 05_40_10_066.png  \n",
            "  inflating: train/design_2020-04-18 05_40_56_486.png  \n",
            " extracting: train/design_2020-04-18 05_41_43_050.png  \n",
            "  inflating: train/design_2020-04-18 05_42_12_824.png  \n",
            " extracting: train/design_2020-04-18 05_42_29_732.png  \n",
            " extracting: train/design_2020-04-18 05_47_21_016.png  \n",
            " extracting: train/design_2020-04-18 05_47_39_307.png  \n",
            "  inflating: train/design_2020-04-18 05_48_06_401.png  \n",
            " extracting: train/design_2020-04-18 05_48_34_998.png  \n",
            "  inflating: train/design_2020-04-18 05_49_14_441.png  \n",
            " extracting: train/design_2020-04-18 05_49_51_608.png  \n",
            " extracting: train/design_2020-04-18 05_49_59_554.png  \n",
            "  inflating: train/design_2020-04-18 05_50_45_859.png  \n",
            " extracting: train/design_2020-04-18 05_51_21_760.png  \n",
            "  inflating: train/design_2020-04-18 05_55_56_358.png  \n",
            "  inflating: train/design_2020-04-18 05_56_17_955.png  \n",
            "  inflating: train/design_2020-04-18 05_58_08_933.png  \n",
            "  inflating: train/design_2020-04-18 05_58_35_022.png  \n",
            " extracting: train/design_2020-04-18 05_59_20_738.png  \n",
            " extracting: train/design_2020-04-18 06_01_25_208.png  \n",
            " extracting: train/design_2020-04-18 06_02_13_881.png  \n",
            "  inflating: train/design_2020-04-18 06_02_20_489.png  \n",
            " extracting: train/design_2020-04-18 06_03_37_465.png  \n",
            " extracting: train/design_2020-04-18 06_04_22_969.png  \n",
            " extracting: train/design_2020-04-18 06_05_08_565.png  \n",
            " extracting: train/design_2020-04-18 06_05_18_919.png  \n",
            " extracting: train/design_2020-04-18 06_06_49_029.png  \n",
            " extracting: train/design_2020-04-18 06_07_17_822.png  \n",
            "  inflating: train/design_2020-04-18 06_07_24_001.png  \n",
            " extracting: train/design_2020-04-18 06_09_08_063.png  \n",
            "  inflating: train/design_2020-04-18 06_16_46_268.png  \n",
            " extracting: train/design_2020-04-18 06_18_04_530.png  \n",
            "  inflating: train/design_2020-04-18 06_18_15_601.png  \n",
            " extracting: train/design_2020-04-18 06_21_12_980.png  \n",
            " extracting: train/design_2020-04-18 06_22_27_707.png  \n",
            "  inflating: train/design_2020-04-18 06_24_12_262.png  \n",
            "  inflating: train/design_2020-04-18 06_24_42_997.png  \n",
            " extracting: train/design_2020-04-18 06_27_08_758.png  \n",
            " extracting: train/design_2020-04-18 06_27_42_336.png  \n",
            "  inflating: train/design_2020-04-18 06_28_28_035.png  \n",
            " extracting: train/design_2020-04-18 06_28_37_791.png  \n",
            " extracting: train/design_2020-04-18 06_30_08_641.png  \n",
            " extracting: train/design_2020-04-18 06_36_08_623.png  \n",
            " extracting: train/design_2020-04-18 06_40_34_867.png  \n",
            "  inflating: train/design_2020-04-18 06_41_48_241.png  \n",
            "  inflating: train/design_2020-04-18 06_43_34_265.png  \n",
            "  inflating: train/design_2020-04-18 06_45_04_355.png  \n",
            "  inflating: train/design_2020-04-18 06_46_09_951.png  \n",
            "  inflating: train/design_2020-04-18 06_46_13_586.png  \n",
            " extracting: train/design_2020-04-18 06_47_29_736.png  \n",
            "  inflating: train/design_2020-04-18 06_47_49_175.png  \n",
            "  inflating: train/design_2020-04-18 06_49_14_553.png  \n",
            "  inflating: train/design_2020-04-18 06_50_12_032.png  \n",
            " extracting: train/design_2020-04-18 06_50_57_626.png  \n",
            " extracting: train/design_2020-04-18 06_53_33_354.png  \n",
            " extracting: train/design_2020-04-18 06_53_44_601.png  \n",
            " extracting: train/design_2020-04-18 06_54_03_617.png  \n",
            " extracting: train/design_2020-04-18 06_54_50_327.png  \n",
            " extracting: train/design_2020-04-18 06_55_02_626.png  \n",
            " extracting: train/design_2020-04-18 06_58_00_851.png  \n",
            "  inflating: train/design_2020-04-18 06_58_24_407.png  \n",
            "  inflating: train/design_2020-04-18 06_59_31_969.png  \n",
            " extracting: train/design_2020-04-18 07_00_55_263.png  \n",
            "  inflating: train/design_2020-04-18 07_02_37_284.png  \n",
            "  inflating: train/design_2020-04-18 07_03_23_548.png  \n",
            "  inflating: train/design_2020-04-18 07_07_31_828.png  \n",
            " extracting: train/design_2020-04-18 07_09_54_973.png  \n",
            " extracting: train/design_2020-04-18 07_13_02_242.png  \n",
            " extracting: train/design_2020-04-18 07_13_48_948.png  \n",
            " extracting: train/design_2020-04-18 07_13_54_049.png  \n",
            " extracting: train/design_2020-04-18 07_22_34_479.png  \n",
            "  inflating: train/design_2020-04-18 07_24_27_814.png  \n",
            " extracting: train/design_2020-04-18 07_26_55_861.png  \n",
            " extracting: train/design_2020-04-18 07_27_42_715.png  \n",
            " extracting: train/design_2020-04-18 07_28_51_656.png  \n",
            "  inflating: train/design_2020-04-18 07_29_35_832.png  \n",
            " extracting: train/design_2020-04-18 07_30_24_610.png  \n",
            " extracting: train/design_2020-04-18 07_32_17_593.png  \n",
            " extracting: train/design_2020-04-18 07_33_21_111.png  \n",
            " extracting: train/design_2020-04-18 07_33_39_825.png  \n",
            " extracting: train/design_2020-04-18 07_34_07_050.png  \n",
            " extracting: train/design_2020-04-18 07_36_08_898.png  \n",
            " extracting: train/design_2020-04-18 07_36_30_566.png  \n",
            " extracting: train/design_2020-04-18 07_36_55_474.png  \n",
            " extracting: train/design_2020-04-18 07_37_41_705.png  \n",
            " extracting: train/design_2020-04-18 07_38_11_745.png  \n",
            "  inflating: train/design_2020-04-18 07_42_35_549.png  \n",
            " extracting: train/design_2020-04-18 07_44_03_493.png  \n",
            "  inflating: train/design_2020-04-18 07_44_59_534.png  \n",
            " extracting: train/design_2020-04-18 07_45_17_101.png  \n",
            " extracting: train/design_2020-04-18 07_48_10_975.png  \n",
            "  inflating: train/design_2020-04-18 07_51_41_486.png  \n",
            " extracting: train/design_2020-04-18 07_53_58_427.png  \n",
            "  inflating: train/design_2020-04-18 07_54_43_431.png  \n",
            " extracting: train/design_2020-04-18 07_54_46_788.png  \n",
            "  inflating: train/design_2020-04-18 07_55_23_301.png  \n",
            "  inflating: train/design_2020-04-18 07_56_15_236.png  \n",
            "  inflating: train/design_2020-04-18 07_56_52_546.png  \n",
            "  inflating: train/design_2020-04-18 07_57_22_780.png  \n",
            " extracting: train/design_2020-04-18 07_57_32_284.png  \n",
            "  inflating: train/design_2020-04-18 07_57_46_388.png  \n",
            "  inflating: train/design_2020-04-18 08_03_14_218.png  \n",
            " extracting: train/design_2020-04-18 08_07_37_130.png  \n",
            " extracting: train/design_2020-04-18 08_23_52_177.png  \n",
            " extracting: train/design_2020-04-18 08_24_33_911.png  \n",
            " extracting: train/design_2020-04-18 08_26_06_772.png  \n",
            " extracting: train/design_2020-04-18 08_32_37_653.png  \n",
            "  inflating: train/design_2020-04-18 08_33_24_827.png  \n",
            " extracting: train/design_2020-04-18 08_34_11_041.png  \n",
            "  inflating: train/design_2020-04-18 08_36_43_207.png  \n",
            "  inflating: train/design_2020-04-18 08_43_08_023.png  \n",
            " extracting: train/design_2020-04-18 08_45_33_302.png  \n",
            " extracting: train/design_2020-04-18 08_49_05_849.png  \n",
            " extracting: train/design_2020-04-18 08_49_55_104.png  \n",
            " extracting: train/design_2020-04-18 08_51_21_327.png  \n",
            "  inflating: train/design_2020-04-18 08_52_15_661.png  \n",
            " extracting: train/design_2020-04-18 08_54_19_550.png  \n",
            " extracting: train/design_2020-04-18 08_58_07_043.png  \n",
            " extracting: train/design_2020-04-18 09_00_09_326.png  \n",
            " extracting: train/design_2020-04-18 09_01_34_716.png  \n",
            " extracting: train/design_2020-04-18 09_04_36_547.png  \n",
            " extracting: train/design_2020-04-18 09_05_28_166.png  \n",
            " extracting: train/design_2020-04-18 09_07_36_785.png  \n",
            " extracting: train/design_2020-04-18 09_09_08_880.png  \n",
            " extracting: train/design_2020-04-18 09_10_38_336.png  \n",
            " extracting: train/design_2020-04-18 09_11_55_920.png  \n",
            "  inflating: train/design_2020-04-18 09_16_41_929.png  \n",
            " extracting: train/design_2020-04-18 09_17_46_000.png  \n",
            " extracting: train/design_2020-04-18 09_18_54_362.png  \n",
            " extracting: train/design_2020-04-18 09_20_20_140.png  \n",
            " extracting: train/design_2020-04-18 09_23_16_182.png  \n",
            " extracting: train/design_2020-04-18 09_23_46_222.png  \n",
            " extracting: train/design_2020-04-18 09_24_43_854.png  \n",
            " extracting: train/design_2020-04-18 09_25_16_752.png  \n",
            " extracting: train/design_2020-04-18 09_26_11_224.png  \n",
            " extracting: train/design_2020-04-18 09_29_07_745.png  \n",
            "  inflating: train/design_2020-04-18 09_29_10_057.png  \n",
            " extracting: train/design_2020-04-18 09_30_53_787.png  \n",
            " extracting: train/design_2020-04-18 09_31_13_007.png  \n",
            " extracting: train/design_2020-04-18 09_31_40_440.png  \n",
            " extracting: train/design_2020-04-18 09_32_26_562.png  \n",
            " extracting: train/design_2020-04-18 09_33_27_634.png  \n",
            " extracting: train/design_2020-04-18 09_34_13_711.png  \n",
            "  inflating: train/design_2020-04-18 09_36_44_624.png  \n",
            "  inflating: train/design_2020-04-18 09_38_54_604.png  \n",
            "  inflating: train/design_2020-04-18 09_41_15_304.png  \n",
            " extracting: train/design_2020-04-18 09_41_58_605.png  \n",
            "  inflating: train/design_2020-04-18 09_45_44_186.png  \n",
            "  inflating: train/design_2020-04-18 09_46_29_249.png  \n",
            "  inflating: train/design_2020-04-18 09_47_14_344.png  \n",
            "  inflating: train/design_2020-04-18 09_48_01_421.png  \n",
            "  inflating: train/design_2020-04-18 09_51_09_426.png  \n",
            "  inflating: train/design_2020-04-18 09_55_14_149.png  \n",
            "  inflating: train/design_2020-04-18 09_56_00_789.png  \n",
            "  inflating: train/design_2020-04-18 09_57_56_885.png  \n",
            " extracting: train/design_2020-04-18 09_57_58_095.png  \n",
            "  inflating: train/design_2020-04-18 09_58_43_619.png  \n",
            " extracting: train/design_2020-04-18 09_59_30_223.png  \n",
            " extracting: train/design_2020-04-18 10_04_07_771.png  \n",
            " extracting: train/design_2020-04-18 10_05_38_137.png  \n",
            "  inflating: train/design_2020-04-18 10_09_24_373.png  \n",
            " extracting: train/design_2020-04-18 10_10_09_965.png  \n",
            " extracting: train/design_2020-04-18 10_11_54_487.png  \n",
            "  inflating: train/design_2020-04-18 10_12_32_335.png  \n",
            " extracting: train/design_2020-04-18 10_14_54_786.png  \n",
            " extracting: train/design_2020-04-18 10_17_58_127.png  \n",
            "  inflating: train/design_2020-04-18 10_20_42_894.png  \n",
            "  inflating: train/design_2020-04-18 10_21_00_093.png  \n",
            " extracting: train/design_2020-04-18 10_24_49_139.png  \n",
            "  inflating: train/design_2020-04-18 10_26_48_644.png  \n",
            "  inflating: train/design_2020-04-18 10_28_17_961.png  \n",
            " extracting: train/design_2020-04-18 10_29_49_521.png  \n",
            " extracting: train/design_2020-04-18 10_32_48_396.png  \n",
            " extracting: train/design_2020-04-18 10_33_48_988.png  \n",
            " extracting: train/design_2020-04-18 10_35_44_658.png  \n",
            " extracting: train/design_2020-04-18 10_38_12_904.png  \n",
            " extracting: train/design_2020-04-18 10_38_43_170.png  \n",
            " extracting: train/design_2020-04-18 10_40_12_927.png  \n",
            " extracting: train/design_2020-04-18 10_40_25_394.png  \n",
            "  inflating: train/design_2020-04-18 10_41_12_217.png  \n",
            "  inflating: train/design_2020-04-18 10_41_38_426.png  \n",
            " extracting: train/design_2020-04-18 10_42_54_331.png  \n",
            " extracting: train/design_2020-04-18 10_43_42_263.png  \n",
            "  inflating: train/design_2020-04-18 10_44_48_467.png  \n",
            " extracting: train/design_2020-04-18 10_45_34_817.png  \n",
            " extracting: train/design_2020-04-18 10_46_21_989.png  \n",
            "  inflating: train/design_2020-04-18 10_47_34_360.png  \n",
            "  inflating: train/design_2020-04-18 10_49_02_637.png  \n",
            " extracting: train/design_2020-04-18 10_50_45_128.png  \n",
            "  inflating: train/design_2020-04-18 10_51_23_119.png  \n",
            " extracting: train/design_2020-04-18 10_52_15_031.png  \n",
            "  inflating: train/design_2020-04-18 10_54_27_716.png  \n",
            " extracting: train/design_2020-04-18 10_54_35_231.png  \n",
            "  inflating: train/design_2020-04-18 10_55_14_020.png  \n",
            " extracting: train/design_2020-04-18 10_55_22_341.png  \n",
            "  inflating: train/design_2020-04-18 10_57_41_871.png  \n",
            "  inflating: train/design_2020-04-18 10_58_12_232.png  \n",
            " extracting: train/design_2020-04-18 10_58_28_334.png  \n",
            "  inflating: train/design_2020-04-18 10_58_38_136.png  \n",
            "  inflating: train/design_2020-04-18 11_01_12_548.png  \n",
            "  inflating: train/design_2020-04-18 11_04_13_635.png  \n",
            " extracting: train/design_2020-04-18 11_09_14_122.png  \n",
            " extracting: train/design_2020-04-18 11_15_14_664.png  \n",
            " extracting: train/design_2020-04-18 11_16_44_834.png  \n",
            " extracting: train/design_2020-04-18 11_17_58_953.png  \n",
            " extracting: train/design_2020-04-18 11_20_58_811.png  \n",
            " extracting: train/design_2020-04-18 11_23_58_613.png  \n",
            "  inflating: train/design_2020-04-18 11_25_49_250.png  \n",
            " extracting: train/design_2020-04-18 11_28_30_676.png  \n",
            " extracting: train/design_2020-04-18 11_28_42_683.png  \n",
            " extracting: train/design_2020-04-18 11_30_01_129.png  \n",
            " extracting: train/design_2020-04-18 11_31_29_832.png  \n",
            " extracting: train/design_2020-04-18 11_31_45_522.png  \n",
            " extracting: train/design_2020-04-18 11_34_29_986.png  \n",
            " extracting: train/design_2020-04-18 11_37_28_852.png  \n",
            " extracting: train/design_2020-04-18 11_37_44_886.png  \n",
            " extracting: train/design_2020-04-18 11_40_45_954.png  \n",
            " extracting: train/design_2020-04-18 11_45_50_093.png  \n",
            " extracting: train/design_2020-04-18 11_46_37_907.png  \n",
            " extracting: train/design_2020-04-18 11_48_31_166.png  \n",
            " extracting: train/design_2020-04-18 12_06_30_848.png  \n",
            " extracting: train/design_2020-04-18 12_09_12_147.png  \n",
            "  inflating: train/design_2020-04-18 12_13_10_237.png  \n",
            " extracting: train/design_2020-04-18 12_13_57_089.png  \n",
            "  inflating: train/design_2020-04-18 12_14_45_430.png  \n",
            "  inflating: train/design_2020-04-18 12_15_28_865.png  \n",
            "  inflating: train/design_2020-04-18 12_16_15_417.png  \n",
            "  inflating: train/design_2020-04-18 12_16_20_237.png  \n",
            " extracting: train/design_2020-04-18 12_17_02_576.png  \n",
            "  inflating: train/design_2020-04-18 12_19_28_082.png  \n",
            " extracting: train/design_2020-04-18 12_20_09_842.png  \n",
            "  inflating: train/design_2020-04-18 12_20_15_005.png  \n",
            " extracting: train/design_2020-04-18 12_29_38_851.png  \n",
            "  inflating: train/design_2020-04-18 12_30_24_927.png  \n",
            " extracting: train/design_2020-04-18 12_33_18_145.png  \n",
            "  inflating: train/design_2020-04-18 12_33_32_348.png  \n",
            " extracting: train/design_2020-04-18 12_35_32_143.png  \n",
            " extracting: train/design_2020-04-18 12_35_53_720.png  \n",
            " extracting: train/design_2020-04-18 12_36_35_919.png  \n",
            " extracting: train/design_2020-04-18 12_38_06_587.png  \n",
            "  inflating: train/design_2020-04-18 12_40_30_350.png  \n",
            "  inflating: train/design_2020-04-18 12_41_17_327.png  \n",
            " extracting: train/design_2020-04-18 12_41_32_978.png  \n",
            " extracting: train/design_2020-04-18 12_42_04_843.png  \n",
            "  inflating: train/design_2020-04-18 12_43_38_608.png  \n",
            "  inflating: train/design_2020-04-18 12_44_26_285.png  \n",
            " extracting: train/design_2020-04-18 12_44_53_631.png  \n",
            " extracting: train/design_2020-04-18 12_46_24_512.png  \n",
            "  inflating: train/design_2020-04-18 12_46_48_576.png  \n",
            " extracting: train/design_2020-04-18 12_47_48_665.png  \n",
            "  inflating: train/design_2020-04-18 12_49_59_915.png  \n",
            " extracting: train/design_2020-04-18 12_50_09_310.png  \n",
            "  inflating: train/design_2020-04-18 12_50_47_076.png  \n",
            " extracting: train/design_2020-04-18 12_50_55_681.png  \n",
            "  inflating: train/design_2020-04-18 12_55_10_571.png  \n",
            " extracting: train/design_2020-04-18 12_58_28_683.png  \n",
            "  inflating: train/design_2020-04-18 13_01_38_359.png  \n",
            " extracting: train/design_2020-04-18 13_02_27_767.png  \n",
            "  inflating: train/design_2020-04-18 13_04_46_960.png  \n",
            " extracting: train/design_2020-04-18 13_05_15_289.png  \n",
            " extracting: train/design_2020-04-18 13_05_33_598.png  \n",
            " extracting: train/design_2020-04-18 13_07_28_574.png  \n",
            " extracting: train/design_2020-04-18 13_07_44_031.png  \n",
            "  inflating: train/design_2020-04-18 13_07_53_339.png  \n",
            " extracting: train/design_2020-04-18 13_08_31_417.png  \n",
            " extracting: train/design_2020-04-18 13_08_40_244.png  \n",
            "  inflating: train/design_2020-04-18 13_10_27_412.png  \n",
            " extracting: train/design_2020-04-18 13_10_52_830.png  \n",
            "  inflating: train/design_2020-04-18 13_11_39_682.png  \n",
            "  inflating: train/design_2020-04-18 13_12_02_795.png  \n",
            "  inflating: train/design_2020-04-18 13_12_51_403.png  \n",
            " extracting: train/design_2020-04-18 13_14_00_829.png  \n",
            " extracting: train/design_2020-04-18 13_14_10_119.png  \n",
            "  inflating: train/design_2020-04-18 13_15_56_578.png  \n",
            " extracting: train/design_2020-04-18 13_16_25_158.png  \n",
            "  inflating: train/design_2020-04-18 13_18_28_961.png  \n",
            " extracting: train/design_2020-04-18 13_20_57_024.png  \n",
            "  inflating: train/design_2020-04-18 13_22_12_556.png  \n",
            "  inflating: train/design_2020-04-18 13_22_59_542.png  \n",
            "  inflating: train/design_2020-04-18 13_24_29_979.png  \n",
            "  inflating: train/design_2020-04-18 13_25_57_992.png  \n",
            " extracting: train/design_2020-04-18 13_27_07_074.png  \n",
            " extracting: train/design_2020-04-18 13_27_22_101.png  \n",
            "  inflating: train/design_2020-04-18 13_27_27_616.png  \n",
            " extracting: train/design_2020-04-18 13_28_36_796.png  \n",
            "  inflating: train/design_2020-04-18 13_31_57_807.png  \n",
            "  inflating: train/design_2020-04-18 13_34_59_258.png  \n",
            "  inflating: train/design_2020-04-18 13_38_01_095.png  \n",
            "  inflating: train/design_2020-04-18 13_40_44_267.png  \n",
            "  inflating: train/design_2020-04-18 13_42_07_277.png  \n",
            " extracting: train/design_2020-04-18 13_47_20_156.png  \n",
            " extracting: train/design_2020-04-18 13_49_27_042.png  \n",
            "  inflating: train/design_2020-04-18 13_49_32_629.png  \n",
            " extracting: train/design_2020-04-18 13_56_01_771.png  \n",
            " extracting: train/design_2020-04-18 13_56_08_756.png  \n",
            " extracting: train/design_2020-04-18 13_58_07_739.png  \n",
            "  inflating: train/design_2020-04-18 14_02_43_371.png  \n",
            " extracting: train/design_2020-04-18 14_04_53_962.png  \n",
            " extracting: train/design_2020-04-18 14_05_42_039.png  \n",
            " extracting: train/design_2020-04-18 14_06_46_870.png  \n",
            " extracting: train/design_2020-04-18 14_07_07_829.png  \n",
            " extracting: train/design_2020-04-18 14_07_33_140.png  \n",
            " extracting: train/design_2020-04-18 14_08_03_551.png  \n",
            "  inflating: train/design_2020-04-18 14_08_50_139.png  \n",
            "  inflating: train/design_2020-04-18 14_09_20_070.png  \n",
            "  inflating: train/design_2020-04-18 14_09_36_909.png  \n",
            " extracting: train/design_2020-04-18 14_10_06_630.png  \n",
            "  inflating: train/design_2020-04-18 14_10_39_495.png  \n",
            " extracting: train/design_2020-04-18 14_11_28_944.png  \n",
            "  inflating: train/design_2020-04-18 14_12_44_773.png  \n",
            " extracting: train/design_2020-04-18 14_13_05_874.png  \n",
            " extracting: train/design_2020-04-18 14_13_52_399.png  \n",
            "  inflating: train/design_2020-04-18 14_15_58_845.png  \n",
            "  inflating: train/design_2020-04-18 14_16_09_373.png  \n",
            " extracting: train/design_2020-04-18 14_17_29_094.png  \n",
            " extracting: train/design_2020-04-18 14_18_15_808.png  \n",
            "  inflating: train/design_2020-04-18 14_19_02_773.png  \n",
            " extracting: train/design_2020-04-18 14_20_04_860.png  \n",
            "  inflating: train/design_2020-04-18 14_20_34_457.png  \n",
            " extracting: train/design_2020-04-18 14_20_35_911.png  \n",
            " extracting: train/design_2020-04-18 14_21_22_300.png  \n",
            "  inflating: train/design_2020-04-18 14_22_03_812.png  \n",
            "  inflating: train/design_2020-04-18 14_24_24_379.png  \n",
            "  inflating: train/design_2020-04-18 14_27_32_106.png  \n",
            "  inflating: train/design_2020-04-18 14_28_18_817.png  \n",
            " extracting: train/design_2020-04-18 14_29_07_278.png  \n",
            "  inflating: train/design_2020-04-18 14_30_51_424.png  \n",
            " extracting: train/design_2020-04-18 14_33_34_155.png  \n",
            "  inflating: train/design_2020-04-18 14_36_52_620.png  \n",
            " extracting: train/design_2020-04-18 14_37_39_635.png  \n",
            " extracting: train/design_2020-04-18 14_40_34_963.png  \n",
            "  inflating: train/design_2020-04-18 14_41_02_875.png  \n",
            "  inflating: train/design_2020-04-18 14_42_54_578.png  \n",
            " extracting: train/design_2020-04-18 14_43_41_340.png  \n",
            "  inflating: train/design_2020-04-18 14_43_47_997.png  \n",
            " extracting: train/design_2020-04-18 14_43_48_095.png  \n",
            " extracting: train/design_2020-04-18 14_44_28_033.png  \n",
            " extracting: train/design_2020-04-18 14_45_18_908.png  \n",
            "  inflating: train/design_2020-04-18 14_45_59_945.png  \n",
            " extracting: train/design_2020-04-18 14_49_52_755.png  \n",
            " extracting: train/design_2020-04-18 14_51_22_735.png  \n",
            " extracting: train/design_2020-04-18 14_53_03_618.png  \n",
            " extracting: train/design_2020-04-18 14_54_25_513.png  \n",
            " extracting: train/design_2020-04-18 14_55_41_363.png  \n",
            " extracting: train/design_2020-04-18 14_55_54_182.png  \n",
            " extracting: train/design_2020-04-18 14_57_03_872.png  \n",
            " extracting: train/design_2020-04-18 14_58_30_339.png  \n",
            " extracting: train/design_2020-04-18 14_58_50_869.png  \n",
            "  inflating: train/design_2020-04-18 14_59_54_873.png  \n",
            "  inflating: train/design_2020-04-18 15_01_32_345.png  \n",
            " extracting: train/design_2020-04-18 15_01_50_693.png  \n",
            "  inflating: train/design_2020-04-18 15_03_05_144.png  \n",
            " extracting: train/design_2020-04-18 15_04_32_976.png  \n",
            "  inflating: train/design_2020-04-18 15_04_39_571.png  \n",
            " extracting: train/design_2020-04-18 15_04_50_553.png  \n",
            "  inflating: train/design_2020-04-18 15_07_33_626.png  \n",
            " extracting: train/design_2020-04-18 15_07_50_087.png  \n",
            " extracting: train/design_2020-04-18 15_10_48_901.png  \n",
            " extracting: train/design_2020-04-18 15_10_55_799.png  \n",
            " extracting: train/design_2020-04-18 15_12_00_704.png  \n",
            " extracting: train/design_2020-04-18 15_13_51_007.png  \n",
            " extracting: train/design_2020-04-18 15_14_17_696.png  \n",
            " extracting: train/design_2020-04-18 15_16_29_078.png  \n",
            " extracting: train/design_2020-04-18 15_16_54_118.png  \n",
            " extracting: train/design_2020-04-18 15_20_53_226.png  \n",
            " extracting: train/design_2020-04-18 15_21_22_439.png  \n",
            " extracting: train/design_2020-04-18 15_23_05_330.png  \n",
            " extracting: train/design_2020-04-18 15_25_18_094.png  \n",
            " extracting: train/design_2020-04-18 15_25_53_882.png  \n",
            " extracting: train/design_2020-04-18 15_27_23_035.png  \n",
            " extracting: train/design_2020-04-18 15_28_52_454.png  \n",
            "  inflating: train/design_2020-04-18 15_40_42_314.png  \n",
            "  inflating: train/design_2020-04-18 15_42_15_913.png  \n",
            "  inflating: train/design_2020-04-18 15_42_18_037.png  \n",
            " extracting: train/design_2020-04-18 15_48_18_169.png  \n",
            " extracting: train/design_2020-04-18 15_55_23_822.png  \n",
            " extracting: train/design_2020-04-18 16_01_23_929.png  \n",
            " extracting: train/design_2020-04-18 16_07_24_878.png  \n",
            " extracting: train/design_2020-04-18 16_08_55_799.png  \n",
            " extracting: train/design_2020-04-18 16_11_25_886.png  \n",
            "  inflating: train/design_2020-04-18 16_23_34_625.png  \n",
            "  inflating: train/design_2020-04-18 16_33_49_383.png  \n",
            "  inflating: train/design_2020-04-18 16_36_48_856.png  \n",
            "  inflating: train/design_2020-04-18 16_39_47_829.png  \n",
            "  inflating: train/design_2020-04-18 16_42_50_218.png  \n",
            "  inflating: train/design_2020-04-18 16_44_20_332.png  \n",
            "  inflating: train/design_2020-04-18 16_45_07_459.png  \n",
            "  inflating: train/design_2020-04-18 16_46_39_585.png  \n",
            "  inflating: train/design_2020-04-18 16_48_15_192.png  \n",
            "  inflating: train/design_2020-04-18 16_49_50_128.png  \n",
            "  inflating: train/design_2020-04-18 16_50_37_336.png  \n",
            "  inflating: train/design_2020-04-18 16_56_39_367.png  \n",
            "  inflating: train/design_2020-04-18 16_59_04_878.png  \n",
            "  inflating: train/design_2020-04-18 17_02_10_598.png  \n",
            "  inflating: train/design_2020-04-18 17_04_30_649.png  \n",
            "  inflating: train/design_2020-04-18 17_07_29_680.png  \n",
            "  inflating: train/design_2020-04-18 17_10_31_267.png  \n",
            "  inflating: train/design_2020-04-18 17_13_31_101.png  \n",
            "  inflating: train/design_2020-04-18 17_20_07_710.png  \n",
            " extracting: train/design_2020-04-18 17_25_17_934.png  \n",
            " extracting: train/design_2020-04-18 17_38_41_985.png  \n",
            "  inflating: train/design_2020-04-18 17_40_18_016.png  \n",
            " extracting: train/design_2020-04-18 17_46_34_319.png  \n",
            " extracting: train/design_2020-04-18 17_49_33_819.png  \n",
            "  inflating: train/design_2020-04-18 17_51_51_062.png  \n",
            " extracting: train/design_2020-04-18 17_52_35_712.png  \n",
            " extracting: train/design_2020-04-18 17_52_37_907.png  \n",
            " extracting: train/design_2020-04-18 17_55_16_178.png  \n",
            " extracting: train/design_2020-04-18 17_55_40_275.png  \n",
            " extracting: train/design_2020-04-18 17_57_10_137.png  \n",
            " extracting: train/design_2020-04-18 17_57_57_822.png  \n",
            "  inflating: train/design_2020-04-18 17_58_46_012.png  \n",
            "  inflating: train/design_2020-04-18 17_59_29_354.png  \n",
            " extracting: train/design_2020-04-18 17_59_49_534.png  \n",
            " extracting: train/design_2020-04-18 18_00_36_000.png  \n",
            "  inflating: train/design_2020-04-18 18_01_23_451.png  \n",
            "  inflating: train/design_2020-04-18 18_02_39_947.png  \n",
            " extracting: train/design_2020-04-18 18_03_23_445.png  \n",
            "  inflating: train/design_2020-04-18 18_03_26_522.png  \n",
            " extracting: train/design_2020-04-18 18_05_28_653.png  \n",
            " extracting: train/design_2020-04-18 18_13_54_201.png  \n",
            " extracting: train/design_2020-04-18 18_19_36_547.png  \n",
            " extracting: train/design_2020-04-18 18_32_48_476.png  \n",
            "  inflating: train/design_2020-04-18 18_35_51_145.png  \n",
            "  inflating: train/design_2020-04-18 18_43_25_114.png  \n",
            "  inflating: train/design_2020-04-18 18_44_54_504.png  \n",
            " extracting: train/design_2020-04-18 18_51_21_499.png  \n",
            " extracting: train/design_2020-04-18 18_54_07_277.png  \n",
            "  inflating: train/design_2020-04-18 19_00_13_812.png  \n",
            " extracting: train/design_2020-04-18 19_00_30_102.png  \n",
            " extracting: train/design_2020-04-18 19_01_45_379.png  \n",
            " extracting: train/design_2020-04-18 19_02_41_094.png  \n",
            " extracting: train/design_2020-04-18 19_04_11_336.png  \n",
            "  inflating: train/design_2020-04-18 19_16_07_203.png  \n",
            " extracting: train/design_2020-04-18 19_16_16_966.png  \n",
            "  inflating: train/design_2020-04-18 19_19_08_272.png  \n",
            " extracting: train/design_2020-04-18 19_19_10_921.png  \n",
            "  inflating: train/design_2020-04-18 19_22_09_344.png  \n",
            " extracting: train/design_2020-04-18 19_22_10_343.png  \n",
            "  inflating: train/design_2020-04-18 19_26_42_122.png  \n",
            " extracting: train/design_2020-04-18 19_27_57_983.png  \n",
            " extracting: train/design_2020-04-18 19_30_54_639.png  \n",
            "  inflating: train/design_2020-04-18 19_32_39_677.png  \n",
            "  inflating: train/design_2020-04-18 19_44_31_674.png  \n",
            "  inflating: train/design_2020-04-18 20_02_26_515.png  \n",
            "  inflating: train/design_2020-04-18 20_04_01_703.png  \n",
            "  inflating: train/design_2020-04-18 20_10_06_228.png  \n",
            "  inflating: train/design_2020-04-18 20_11_35_881.png  \n",
            "  inflating: train/design_2020-04-18 20_16_09_103.png  \n",
            " extracting: train/design_2020-04-18 20_18_29_722.png  \n",
            " extracting: train/design_2020-04-18 20_38_47_965.png  \n",
            "  inflating: train/design_2020-04-18 20_43_12_679.png  \n",
            "  inflating: train/design_2020-04-18 20_47_39_588.png  \n",
            "  inflating: train/design_2020-04-18 20_49_51_748.png  \n",
            "  inflating: train/design_2020-04-18 20_52_04_213.png  \n",
            "  inflating: train/design_2020-04-18 20_56_33_847.png  \n",
            "  inflating: train/design_2020-04-18 21_01_00_854.png  \n",
            "  inflating: train/design_2020-04-18 21_09_56_030.png  \n",
            "  inflating: train/design_2020-04-18 21_14_26_232.png  \n",
            " extracting: train/design_2020-04-18 21_33_45_973.png  \n",
            " extracting: train/design_2020-04-18 21_35_13_544.png  \n",
            " extracting: train/design_2020-04-18 21_38_12_141.png  \n",
            " extracting: train/design_2020-04-18 21_39_41_433.png  \n",
            "  inflating: train/design_2020-04-18 21_53_08_205.png  \n",
            "  inflating: train/design_2020-04-18 22_14_00_292.png  \n",
            "  inflating: train/design_2020-04-18 22_40_33_823.png  \n",
            " extracting: train/design_2020-04-18 22_41_21_210.png  \n",
            " extracting: train/design_2020-04-18 22_57_16_551.png  \n",
            " extracting: train/design_2020-04-18 22_59_59_892.png  \n",
            "  inflating: train/design_2020-04-18 23_11_33_694.png  \n",
            " extracting: train/design_2020-04-18 23_13_03_819.png  \n",
            "  inflating: train/design_2020-04-18 23_17_32_009.png  \n",
            "  inflating: train/design_2020-04-23 10_10_20_239.png  \n",
            "  inflating: train/design_2020-04-23 10_11_21_047.png  \n",
            "  inflating: train/design_2020-04-23 10_12_05_681.png  \n",
            "  inflating: train/design_2020-04-23 10_13_15_230.png  \n",
            "  inflating: train/design_2020-04-23 10_14_40_568.png  \n",
            "  inflating: train/design_2020-04-23 10_14_41_594.png  \n",
            "  inflating: train/design_2020-04-23 10_16_09_784.png  \n",
            " extracting: train/design_2020-04-23 10_16_12_980.png  \n",
            "  inflating: train/design_2020-04-23 10_16_47_880.png  \n",
            "  inflating: train/design_2020-04-23 10_17_35_937.png  \n",
            "  inflating: train/design_2020-04-23 10_18_16_845.png  \n",
            " extracting: train/design_2020-04-23 10_18_21_119.png  \n",
            "  inflating: train/design_2020-04-23 10_20_31_332.png  \n",
            " extracting: train/design_2020-04-23 10_21_22_953.png  \n",
            "  inflating: train/design_2020-04-23 10_23_06_090.png  \n",
            "  inflating: train/design_2020-04-23 10_23_26_313.png  \n",
            "  inflating: train/design_2020-04-23 10_23_49_962.png  \n",
            " extracting: train/design_2020-04-23 10_24_33_152.png  \n",
            "  inflating: train/design_2020-04-23 10_25_53_831.png  \n",
            "  inflating: train/design_2020-04-23 10_26_49_025.png  \n",
            " extracting: train/design_2020-04-23 10_29_31_078.png  \n",
            " extracting: train/design_2020-04-23 10_29_45_909.png  \n",
            " extracting: train/design_2020-04-23 10_30_58_703.png  \n",
            "  inflating: train/design_2020-04-23 10_31_57_994.png  \n",
            " extracting: train/design_2020-04-23 10_32_14_954.png  \n",
            "  inflating: train/design_2020-04-23 10_32_19_568.png  \n",
            " extracting: train/design_2020-04-23 10_33_54_647.png  \n",
            "  inflating: train/design_2020-04-23 10_34_49_586.png  \n",
            " extracting: train/design_2020-04-23 10_36_38_501.png  \n",
            "  inflating: train/design_2020-04-23 10_38_46_921.png  \n",
            " extracting: train/design_2020-04-23 10_39_22_701.png  \n",
            " extracting: train/design_2020-04-23 10_40_08_682.png  \n",
            "  inflating: train/design_2020-04-23 10_40_52_151.png  \n",
            "  inflating: train/design_2020-04-23 10_42_41_428.png  \n",
            " extracting: train/design_2020-04-23 10_44_18_179.png  \n",
            "  inflating: train/design_2020-04-23 10_46_33_887.png  \n",
            "  inflating: train/design_2020-04-23 10_49_08_023.png  \n",
            " extracting: train/design_2020-04-23 10_50_42_945.png  \n",
            "  inflating: train/design_2020-04-23 10_51_15_917.png  \n",
            " extracting: train/design_2020-04-23 10_52_54_805.png  \n",
            "  inflating: train/design_2020-04-23 10_53_21_527.png  \n",
            "  inflating: train/design_2020-04-23 10_55_05_566.png  \n",
            "  inflating: train/design_2020-04-23 10_55_10_782.png  \n",
            " extracting: train/design_2020-04-23 10_57_17_922.png  \n",
            "  inflating: train/design_2020-04-23 10_57_56_494.png  \n",
            "  inflating: train/design_2020-04-23 10_58_05_145.png  \n",
            " extracting: train/design_2020-04-23 11_04_12_527.png  \n",
            "  inflating: train/design_2020-04-23 11_04_56_753.png  \n",
            " extracting: train/design_2020-04-23 11_05_40_809.png  \n",
            "  inflating: train/design_2020-04-23 11_08_00_960.png  \n",
            " extracting: train/design_2020-04-23 11_08_38_152.png  \n",
            " extracting: train/design_2020-04-23 11_09_24_037.png  \n",
            "  inflating: train/design_2020-04-23 11_10_09_705.png  \n",
            "  inflating: train/design_2020-04-23 11_10_53_660.png  \n",
            "  inflating: train/design_2020-04-23 11_11_40_545.png  \n",
            "  inflating: train/design_2020-04-23 11_12_02_106.png  \n",
            " extracting: train/design_2020-04-23 11_12_14_672.png  \n",
            "  inflating: train/design_2020-04-23 11_13_09_773.png  \n",
            "  inflating: train/design_2020-04-23 11_13_53_599.png  \n",
            " extracting: train/design_2020-04-23 11_14_16_771.png  \n",
            "  inflating: train/design_2020-04-23 11_14_38_757.png  \n",
            " extracting: train/design_2020-04-23 11_14_49_204.png  \n",
            "  inflating: train/design_2020-04-23 11_14_53_493.png  \n",
            " extracting: train/design_2020-04-23 11_17_53_224.png  \n",
            " extracting: train/design_2020-04-23 11_18_26_531.png  \n",
            " extracting: train/design_2020-04-23 11_20_38_144.png  \n",
            "  inflating: train/design_2020-04-23 11_23_20_285.png  \n",
            " extracting: train/design_2020-04-23 11_24_03_410.png  \n",
            "  inflating: train/design_2020-04-23 11_25_33_507.png  \n",
            "  inflating: train/design_2020-04-23 11_26_06_462.png  \n",
            "  inflating: train/design_2020-04-23 11_26_13_232.png  \n",
            "  inflating: train/design_2020-04-23 11_26_18_577.png  \n",
            " extracting: train/design_2020-04-23 11_26_46_909.png  \n",
            " extracting: train/design_2020-04-23 11_27_35_420.png  \n",
            "  inflating: train/design_2020-04-23 11_27_37_654.png  \n",
            " extracting: train/design_2020-04-23 11_28_48_148.png  \n",
            " extracting: train/design_2020-04-23 11_29_32_800.png  \n",
            "  inflating: train/design_2020-04-23 11_30_29_649.png  \n",
            "  inflating: train/design_2020-04-23 11_30_33_306.png  \n",
            " extracting: train/design_2020-04-23 11_31_36_249.png  \n",
            "  inflating: train/design_2020-04-23 11_31_54_875.png  \n",
            " extracting: train/design_2020-04-23 11_32_57_423.png  \n",
            "  inflating: train/design_2020-04-23 11_33_20_013.png  \n",
            " extracting: train/design_2020-04-23 11_34_07_360.png  \n",
            "  inflating: train/design_2020-04-23 11_34_46_700.png  \n",
            " extracting: train/design_2020-04-23 11_35_32_629.png  \n",
            "  inflating: train/design_2020-04-23 11_36_53_584.png  \n",
            " extracting: train/design_2020-04-23 11_38_34_908.png  \n",
            "  inflating: train/design_2020-04-23 11_38_56_559.png  \n",
            " extracting: train/design_2020-04-23 11_38_57_629.png  \n",
            "  inflating: train/design_2020-04-23 11_39_20_790.png  \n",
            "  inflating: train/design_2020-04-23 11_40_29_061.png  \n",
            "  inflating: train/design_2020-04-23 11_41_03_880.png  \n",
            " extracting: train/design_2020-04-23 11_41_11_275.png  \n",
            "  inflating: train/design_2020-04-23 11_41_58_146.png  \n",
            "  inflating: train/design_2020-04-23 11_43_07_525.png  \n",
            "  inflating: train/design_2020-04-23 11_43_10_491.png  \n",
            " extracting: train/design_2020-04-23 11_43_27_527.png  \n",
            "  inflating: train/design_2020-04-23 11_44_41_942.png  \n",
            "  inflating: train/design_2020-04-23 11_45_15_724.png  \n",
            " extracting: train/design_2020-04-23 11_45_16_589.png  \n",
            "  inflating: train/design_2020-04-23 11_47_23_992.png  \n",
            " extracting: train/design_2020-04-23 11_48_34_058.png  \n",
            "  inflating: train/design_2020-04-23 11_48_48_767.png  \n",
            " extracting: train/design_2020-04-23 11_49_20_428.png  \n",
            "  inflating: train/design_2020-04-23 11_49_33_072.png  \n",
            "  inflating: train/design_2020-04-23 11_51_40_719.png  \n",
            "  inflating: train/design_2020-04-23 11_51_54_643.png  \n",
            "  inflating: train/design_2020-04-23 11_52_59_639.png  \n",
            " extracting: train/design_2020-04-23 11_53_16_201.png  \n",
            "  inflating: train/design_2020-04-23 11_53_46_701.png  \n",
            " extracting: train/design_2020-04-23 11_54_01_097.png  \n",
            " extracting: train/design_2020-04-23 11_54_42_195.png  \n",
            " extracting: train/design_2020-04-23 11_55_49_733.png  \n",
            "  inflating: train/design_2020-04-23 11_56_24_258.png  \n",
            " extracting: train/design_2020-04-23 11_57_50_269.png  \n",
            "  inflating: train/design_2020-04-23 11_59_32_244.png  \n",
            "  inflating: train/design_2020-04-23 12_00_07_847.png  \n",
            "  inflating: train/design_2020-04-23 12_00_16_984.png  \n",
            "  inflating: train/design_2020-04-23 12_01_30_964.png  \n",
            "  inflating: train/design_2020-04-23 12_02_54_583.png  \n",
            "  inflating: train/design_2020-04-23 12_03_09_228.png  \n",
            " extracting: train/design_2020-04-23 12_04_03_078.png  \n",
            " extracting: train/design_2020-04-23 12_04_03_159.png  \n",
            "  inflating: train/design_2020-04-23 12_04_17_804.png  \n",
            " extracting: train/design_2020-04-23 12_05_00_689.png  \n",
            "  inflating: train/design_2020-04-23 12_05_42_802.png  \n",
            "  inflating: train/design_2020-04-23 12_05_55_503.png  \n",
            " extracting: train/design_2020-04-23 12_06_25_871.png  \n",
            " extracting: train/design_2020-04-23 12_07_45_679.png  \n",
            " extracting: train/design_2020-04-23 12_07_50_476.png  \n",
            " extracting: train/design_2020-04-23 12_07_52_189.png  \n",
            " extracting: train/design_2020-04-23 12_09_15_923.png  \n",
            " extracting: train/design_2020-04-23 12_10_26_810.png  \n",
            " extracting: train/design_2020-04-23 12_10_31_536.png  \n",
            " extracting: train/design_2020-04-23 12_10_47_278.png  \n",
            " extracting: train/design_2020-04-23 12_11_15_578.png  \n",
            " extracting: train/design_2020-04-23 12_13_14_956.png  \n",
            " extracting: train/design_2020-04-23 12_13_37_347.png  \n",
            "  inflating: train/design_2020-04-23 12_14_34_835.png  \n",
            " extracting: train/design_2020-04-23 12_15_58_131.png  \n",
            "  inflating: train/design_2020-04-23 12_16_04_422.png  \n",
            "  inflating: train/design_2020-04-23 12_20_32_393.png  \n",
            "  inflating: train/design_2020-04-23 12_20_42_096.png  \n",
            "  inflating: train/design_2020-04-23 12_21_33_802.png  \n",
            "  inflating: train/design_2020-04-23 12_22_02_161.png  \n",
            "  inflating: train/design_2020-04-23 12_22_49_695.png  \n",
            "  inflating: train/design_2020-04-23 12_23_36_858.png  \n",
            " extracting: train/design_2020-04-23 12_24_16_661.png  \n",
            "  inflating: train/design_2020-04-23 12_25_59_075.png  \n",
            "  inflating: train/design_2020-04-23 12_26_27_868.png  \n",
            "  inflating: train/design_2020-04-23 12_26_46_809.png  \n",
            "  inflating: train/design_2020-04-23 12_28_21_978.png  \n",
            "  inflating: train/design_2020-04-23 12_29_30_404.png  \n",
            "  inflating: train/design_2020-04-23 12_31_17_606.png  \n",
            "  inflating: train/design_2020-04-23 12_32_31_003.png  \n",
            "  inflating: train/design_2020-04-23 12_33_59_084.png  \n",
            "  inflating: train/design_2020-04-23 12_35_31_400.png  \n",
            " extracting: train/design_2020-04-23 12_38_34_097.png  \n",
            "  inflating: train/design_2020-04-23 12_39_59_953.png  \n",
            "  inflating: train/design_2020-04-23 12_41_29_178.png  \n",
            " extracting: train/design_2020-04-23 12_44_28_519.png  \n",
            "  inflating: train/design_2020-04-23 12_45_56_612.png  \n",
            "  inflating: train/design_2020-04-23 12_46_01_624.png  \n",
            "  inflating: train/design_2020-04-23 12_47_14_369.png  \n",
            " extracting: train/design_2020-04-23 12_48_07_498.png  \n",
            "  inflating: train/design_2020-04-23 12_48_53_821.png  \n",
            " extracting: train/design_2020-04-23 12_50_15_232.png  \n",
            "  inflating: train/design_2020-04-23 12_51_57_882.png  \n",
            "  inflating: train/design_2020-04-23 12_53_27_900.png  \n",
            " extracting: train/design_2020-04-23 12_54_37_577.png  \n",
            " extracting: train/design_2020-04-23 12_54_49_562.png  \n",
            " extracting: train/design_2020-04-23 12_54_58_936.png  \n",
            "  inflating: train/design_2020-04-23 12_56_21_572.png  \n",
            " extracting: train/design_2020-04-23 12_56_31_930.png  \n",
            " extracting: train/design_2020-04-23 12_57_50_259.png  \n",
            " extracting: train/design_2020-04-23 12_58_05_871.png  \n",
            " extracting: train/design_2020-04-23 13_00_45_943.png  \n",
            " extracting: train/design_2020-04-23 13_01_07_580.png  \n",
            "  inflating: train/design_2020-04-23 13_02_14_850.png  \n",
            " extracting: train/design_2020-04-23 13_02_38_267.png  \n",
            "  inflating: train/design_2020-04-23 13_03_43_564.png  \n",
            " extracting: train/design_2020-04-23 13_04_12_200.png  \n",
            " extracting: train/design_2020-04-23 13_05_42_201.png  \n",
            "  inflating: train/design_2020-04-23 13_08_08_423.png  \n",
            "  inflating: train/design_2020-04-23 13_12_22_824.png  \n",
            "  inflating: train/design_2020-04-23 13_14_49_183.png  \n",
            "  inflating: train/design_2020-04-23 13_15_17_799.png  \n",
            "  inflating: train/design_2020-04-23 13_16_59_034.png  \n",
            "  inflating: train/design_2020-04-23 13_21_23_104.png  \n",
            "  inflating: train/design_2020-04-23 13_21_24_772.png  \n",
            " extracting: train/design_2020-04-23 13_22_13_855.png  \n",
            "  inflating: train/design_2020-04-23 13_23_24_882.png  \n",
            "  inflating: train/design_2020-04-23 13_23_33_672.png  \n",
            "  inflating: train/design_2020-04-23 13_23_35_196.png  \n",
            " extracting: train/design_2020-04-23 13_23_48_581.png  \n",
            " extracting: train/design_2020-04-23 13_24_23_849.png  \n",
            "  inflating: train/design_2020-04-23 13_25_09_766.png  \n",
            " extracting: train/design_2020-04-23 13_25_23_287.png  \n",
            " extracting: train/design_2020-04-23 13_25_58_327.png  \n",
            "  inflating: train/design_2020-04-23 13_26_27_372.png  \n",
            " extracting: train/design_2020-04-23 13_26_56_514.png  \n",
            " extracting: train/design_2020-04-23 13_27_31_218.png  \n",
            "  inflating: train/design_2020-04-23 13_28_18_678.png  \n",
            "  inflating: train/design_2020-04-23 13_28_41_345.png  \n",
            " extracting: train/design_2020-04-23 13_29_05_345.png  \n",
            "  inflating: train/design_2020-04-23 13_29_10_880.png  \n",
            " extracting: train/design_2020-04-23 13_29_51_673.png  \n",
            "  inflating: train/design_2020-04-23 13_30_40_421.png  \n",
            "  inflating: train/design_2020-04-23 13_30_40_684.png  \n",
            "  inflating: train/design_2020-04-23 13_30_48_630.png  \n",
            "  inflating: train/design_2020-04-23 13_31_34_420.png  \n",
            "  inflating: train/design_2020-04-23 13_32_09_960.png  \n",
            "  inflating: train/design_2020-04-23 13_33_36_110.png  \n",
            "  inflating: train/design_2020-04-23 13_33_48_691.png  \n",
            "  inflating: train/design_2020-04-23 13_35_04_034.png  \n",
            "  inflating: train/design_2020-04-23 13_35_15_580.png  \n",
            "  inflating: train/design_2020-04-23 13_36_27_365.png  \n",
            "  inflating: train/design_2020-04-23 13_37_26_898.png  \n",
            "  inflating: train/design_2020-04-23 13_37_49_858.png  \n",
            " extracting: train/design_2020-04-23 13_38_24_457.png  \n",
            "  inflating: train/design_2020-04-23 13_39_19_009.png  \n",
            "  inflating: train/design_2020-04-23 13_39_39_621.png  \n",
            "  inflating: train/design_2020-04-23 13_40_50_144.png  \n",
            " extracting: train/design_2020-04-24 02_15_35_783.png  \n",
            "  inflating: train/design_2020-04-24 02_16_44_295.png  \n",
            " extracting: train/design_2020-04-24 02_17_05_318.png  \n",
            "  inflating: train/design_2020-04-24 02_20_58_911.png  \n",
            "  inflating: train/design_2020-04-24 02_22_22_942.png  \n",
            "  inflating: train/design_2020-04-24 02_22_23_250.png  \n",
            " extracting: train/design_2020-04-24 02_22_27_993.png  \n",
            "  inflating: train/design_2020-04-24 02_27_53_746.png  \n",
            " extracting: train/design_2020-04-24 02_29_39_124.png  \n",
            "  inflating: train/design_2020-04-24 02_29_54_263.png  \n",
            "  inflating: train/design_2020-04-24 02_30_42_573.png  \n",
            "  inflating: train/design_2020-04-24 02_33_25_504.png  \n",
            " extracting: train/design_2020-04-24 02_33_45_881.png  \n",
            "  inflating: train/design_2020-04-24 02_34_12_166.png  \n",
            "  inflating: train/design_2020-04-24 02_34_31_015.png  \n",
            "  inflating: train/design_2020-04-24 02_34_56_048.png  \n",
            "  inflating: train/design_2020-04-24 02_35_44_032.png  \n",
            "  inflating: train/design_2020-04-24 02_37_16_251.png  \n",
            "  inflating: train/design_2020-04-24 02_38_00_337.png  \n",
            "  inflating: train/design_2020-04-24 02_44_37_340.png  \n",
            "  inflating: train/design_2020-04-24 02_48_12_571.png  \n",
            "  inflating: train/design_2020-04-24 02_52_42_140.png  \n",
            "  inflating: train/design_2020-04-24 02_57_04_654.png  \n",
            "  inflating: train/design_2020-04-24 03_00_55_170.png  \n",
            " extracting: train/design_2020-04-24 03_02_04_246.png  \n",
            " extracting: train/design_2020-04-24 03_04_58_911.png  \n",
            "  inflating: train/design_2020-04-24 03_05_04_415.png  \n",
            "  inflating: train/design_2020-04-24 03_06_11_574.png  \n",
            " extracting: train/design_2020-04-24 03_09_09_358.png  \n",
            " extracting: train/design_2020-04-24 03_09_13_045.png  \n",
            " extracting: train/design_2020-04-24 03_10_34_869.png  \n",
            "  inflating: train/design_2020-04-24 03_12_44_155.png  \n",
            "  inflating: train/design_2020-04-24 03_13_48_901.png  \n",
            " extracting: train/design_2020-04-24 03_15_09_081.png  \n",
            "  inflating: train/design_2020-04-24 03_15_12_772.png  \n",
            "  inflating: train/design_2020-04-24 03_15_39_604.png  \n",
            "  inflating: train/design_2020-04-24 03_18_11_221.png  \n",
            "  inflating: train/design_2020-04-24 03_21_04_729.png  \n",
            "  inflating: train/design_2020-04-24 03_21_42_818.png  \n",
            "  inflating: train/design_2020-04-24 03_23_15_676.png  \n",
            "  inflating: train/design_2020-04-24 03_24_00_260.png  \n",
            "  inflating: train/design_2020-04-24 03_24_50_051.png  \n",
            " extracting: train/design_2020-04-24 03_25_33_885.png  \n",
            " extracting: train/design_2020-04-24 03_26_08_278.png  \n",
            "  inflating: train/design_2020-04-24 03_26_22_827.png  \n",
            "  inflating: train/design_2020-04-24 03_27_56_701.png  \n",
            "  inflating: train/design_2020-04-24 03_28_24_232.png  \n",
            " extracting: train/design_2020-04-24 03_28_50_094.png  \n",
            "  inflating: train/design_2020-04-24 03_30_15_855.png  \n",
            "  inflating: train/design_2020-04-24 03_34_51_963.png  \n",
            " extracting: train/design_2020-04-24 03_36_42_347.png  \n",
            "  inflating: train/design_2020-04-24 03_37_07_410.png  \n",
            "  inflating: train/design_2020-04-24 03_39_02_143.png  \n",
            " extracting: train/design_2020-04-24 03_40_02_601.png  \n",
            " extracting: train/design_2020-04-24 03_44_18_162.png  \n",
            "  inflating: train/design_2020-04-24 03_45_41_697.png  \n",
            " extracting: train/design_2020-04-24 03_47_04_890.png  \n",
            "  inflating: train/design_2020-04-24 03_47_49_263.png  \n",
            "  inflating: train/design_2020-04-24 03_50_04_641.png  \n",
            "  inflating: train/design_2020-04-24 03_51_14_799.png  \n",
            "  inflating: train/design_2020-04-24 03_52_14_473.png  \n",
            " extracting: train/design_2020-04-24 03_54_28_229.png  \n",
            "  inflating: train/design_2020-04-24 03_55_07_090.png  \n",
            "  inflating: train/design_2020-04-24 03_56_41_994.png  \n",
            " extracting: train/design_2020-04-24 03_57_11_109.png  \n",
            "  inflating: train/design_2020-04-24 03_57_18_745.png  \n",
            " extracting: train/design_2020-04-24 03_57_55_498.png  \n",
            "  inflating: train/design_2020-04-24 03_58_54_248.png  \n",
            " extracting: train/design_2020-04-24 04_00_21_382.png  \n",
            "  inflating: train/design_2020-04-24 04_01_55_232.png  \n",
            "  inflating: train/design_2020-04-24 04_02_14_947.png  \n",
            "  inflating: train/design_2020-04-24 04_02_47_951.png  \n",
            " extracting: train/design_2020-04-24 04_03_25_030.png  \n",
            "  inflating: train/design_2020-04-24 04_04_16_659.png  \n",
            "  inflating: train/design_2020-04-24 04_05_19_154.png  \n",
            " extracting: train/design_2020-04-24 04_06_26_990.png  \n",
            "  inflating: train/design_2020-04-24 04_07_33_915.png  \n",
            "  inflating: train/design_2020-04-24 04_07_57_067.png  \n",
            " extracting: train/design_2020-04-24 04_07_57_417.png  \n",
            "  inflating: train/design_2020-04-24 04_08_41_188.png  \n",
            "  inflating: train/design_2020-04-24 04_09_23_259.png  \n",
            "  inflating: train/design_2020-04-24 04_10_09_694.png  \n",
            "  inflating: train/design_2020-04-24 04_10_34_946.png  \n",
            "  inflating: train/design_2020-04-24 04_11_21_864.png  \n",
            "  inflating: train/design_2020-04-24 04_11_26_368.png  \n",
            "  inflating: train/design_2020-04-24 04_11_33_836.png  \n",
            "  inflating: train/design_2020-04-24 04_12_10_781.png  \n",
            "  inflating: train/design_2020-04-24 04_13_29_787.png  \n",
            " extracting: train/design_2020-04-24 04_14_20_431.png  \n",
            "  inflating: train/design_2020-04-24 04_15_20_159.png  \n",
            "  inflating: train/design_2020-04-24 04_15_36_678.png  \n",
            "  inflating: train/design_2020-04-24 04_15_48_175.png  \n",
            " extracting: train/design_2020-04-24 04_19_45_299.png  \n",
            "  inflating: train/design_2020-04-24 04_22_01_031.png  \n",
            " extracting: train/design_2020-04-24 04_22_52_313.png  \n",
            "  inflating: train/design_2020-04-24 04_23_37_852.png  \n",
            "  inflating: train/design_2020-04-24 04_24_17_165.png  \n",
            "  inflating: train/design_2020-04-24 04_26_26_876.png  \n",
            "  inflating: train/design_2020-04-24 04_26_41_608.png  \n",
            " extracting: train/design_2020-04-24 04_27_05_675.png  \n",
            "  inflating: train/design_2020-04-24 04_28_13_818.png  \n",
            "  inflating: train/design_2020-04-24 04_29_43_563.png  \n",
            " extracting: train/design_2020-04-24 04_30_45_340.png  \n",
            " extracting: train/design_2020-04-24 04_31_13_505.png  \n",
            " extracting: train/design_2020-04-24 04_31_17_304.png  \n",
            " extracting: train/design_2020-04-24 04_32_43_975.png  \n",
            " extracting: train/design_2020-04-24 04_32_46_099.png  \n",
            " extracting: train/design_2020-04-24 04_34_11_430.png  \n",
            "  inflating: train/design_2020-04-24 04_35_40_253.png  \n",
            " extracting: train/design_2020-04-24 04_37_49_330.png  \n",
            " extracting: train/design_2020-04-24 04_39_04_464.png  \n",
            " extracting: train/design_2020-04-24 04_40_02_745.png  \n",
            " extracting: train/design_2020-04-24 04_41_12_811.png  \n",
            "  inflating: train/design_2020-04-24 04_41_16_937.png  \n",
            " extracting: train/design_2020-04-24 04_43_07_525.png  \n",
            " extracting: train/design_2020-04-24 04_43_18_306.png  \n",
            " extracting: train/design_2020-04-24 04_46_34_864.png  \n",
            "  inflating: train/design_2020-04-24 04_47_27_783.png  \n",
            "  inflating: train/design_2020-04-24 04_50_16_351.png  \n",
            "  inflating: train/design_2020-04-24 04_50_43_141.png  \n",
            " extracting: train/design_2020-04-24 04_51_46_576.png  \n",
            "  inflating: train/design_2020-04-24 04_53_03_206.png  \n",
            " extracting: train/design_2020-04-24 04_53_32_226.png  \n",
            "  inflating: train/design_2020-04-24 04_53_45_257.png  \n",
            " extracting: train/design_2020-04-24 04_54_46_636.png  \n",
            "  inflating: train/design_2020-04-24 04_56_21_639.png  \n",
            " extracting: train/design_2020-04-24 04_57_27_734.png  \n",
            "  inflating: train/design_2020-04-24 04_57_46_718.png  \n",
            "  inflating: train/design_2020-04-24 04_59_09_525.png  \n",
            "  inflating: train/design_2020-04-24 05_00_37_179.png  \n",
            "  inflating: train/design_2020-04-24 05_00_39_368.png  \n",
            "  inflating: train/design_2020-04-24 05_02_02_972.png  \n",
            "  inflating: train/design_2020-04-24 05_02_43_959.png  \n",
            "  inflating: train/design_2020-04-24 05_04_53_360.png  \n",
            "  inflating: train/design_2020-04-24 05_06_16_993.png  \n",
            "  inflating: train/design_2020-04-24 05_07_45_042.png  \n",
            "  inflating: train/design_2020-04-24 05_09_15_259.png  \n",
            " extracting: train/design_2020-04-24 05_12_12_346.png  \n",
            "  inflating: train/design_2020-04-24 05_15_33_814.png  \n",
            "  inflating: train/design_2020-04-24 05_17_29_431.png  \n",
            " extracting: train/design_2020-04-24 05_17_49_528.png  \n",
            "  inflating: train/design_2020-04-24 05_19_54_253.png  \n",
            " extracting: train/design_2020-04-24 05_21_11_164.png  \n",
            "  inflating: train/design_2020-04-24 05_21_45_710.png  \n",
            "  inflating: train/design_2020-04-24 05_23_49_415.png  \n",
            " extracting: train/design_2020-04-24 05_24_07_481.png  \n",
            "  inflating: train/design_2020-04-24 05_24_25_067.png  \n",
            "  inflating: train/design_2020-04-24 05_25_55_914.png  \n",
            " extracting: train/design_2020-04-24 05_26_31_239.png  \n",
            "  inflating: train/design_2020-04-24 05_26_36_888.png  \n",
            " extracting: train/design_2020-04-24 05_30_03_497.png  \n",
            "  inflating: train/design_2020-04-24 05_31_08_591.png  \n",
            " extracting: train/design_2020-04-24 05_32_57_188.png  \n",
            "  inflating: train/design_2020-04-24 05_35_07_110.png  \n",
            "  inflating: train/design_2020-04-24 05_35_42_313.png  \n",
            "  inflating: train/design_2020-04-24 05_36_16_525.png  \n",
            "  inflating: train/design_2020-04-24 05_37_27_024.png  \n",
            "  inflating: train/design_2020-04-24 05_37_56_029.png  \n",
            "  inflating: train/design_2020-04-24 05_38_05_991.png  \n",
            "  inflating: train/design_2020-04-24 05_38_50_641.png  \n",
            "  inflating: train/design_2020-04-24 05_42_27_245.png  \n",
            "  inflating: train/design_2020-04-24 05_43_22_577.png  \n",
            "  inflating: train/design_2020-04-24 05_44_31_322.png  \n",
            "  inflating: train/design_2020-04-24 05_44_51_700.png  \n",
            " extracting: train/design_2020-04-24 05_46_18_348.png  \n",
            "  inflating: train/design_2020-04-24 05_47_53_603.png  \n",
            " extracting: train/design_2020-04-24 05_48_48_786.png  \n",
            " extracting: train/design_2020-04-24 05_49_31_515.png  \n",
            "  inflating: train/design_2020-04-24 05_50_13_094.png  \n",
            "  inflating: train/design_2020-04-24 05_50_56_008.png  \n",
            "  inflating: train/design_2020-04-24 05_51_35_894.png  \n",
            "  inflating: train/design_2020-04-24 05_52_34_379.png  \n",
            "  inflating: train/design_2020-04-24 05_54_56_322.png  \n",
            "  inflating: train/design_2020-04-24 05_55_37_291.png  \n",
            " extracting: train/design_2020-04-24 05_55_44_569.png  \n",
            "  inflating: train/design_2020-04-24 05_55_57_974.png  \n",
            "  inflating: train/design_2020-04-24 05_56_51_087.png  \n",
            " extracting: train/design_2020-04-24 05_57_18_294.png  \n",
            "  inflating: train/design_2020-04-24 05_57_37_366.png  \n",
            "  inflating: train/design_2020-04-24 05_57_39_944.png  \n",
            "  inflating: train/design_2020-04-24 05_59_09_402.png  \n",
            "  inflating: train/design_2020-04-24 05_59_55_525.png  \n",
            "  inflating: train/design_2020-04-24 06_00_21_175.png  \n",
            "  inflating: train/design_2020-04-24 06_00_41_671.png  \n",
            "  inflating: train/design_2020-04-24 06_01_44_587.png  \n",
            "  inflating: train/design_2020-04-24 06_02_12_909.png  \n",
            "  inflating: train/design_2020-04-24 06_02_59_078.png  \n",
            "  inflating: train/design_2020-04-24 06_03_49_092.png  \n",
            " extracting: train/design_2020-04-24 06_04_29_253.png  \n",
            "  inflating: train/design_2020-04-24 06_04_38_627.png  \n",
            "  inflating: train/design_2020-04-24 06_05_55_594.png  \n",
            " extracting: train/design_2020-04-24 06_05_57_698.png  \n",
            " extracting: train/design_2020-04-24 06_07_26_563.png  \n",
            " extracting: train/design_2020-04-24 06_08_57_919.png  \n",
            " extracting: train/design_2020-04-24 06_10_28_511.png  \n",
            "  inflating: train/design_2020-04-24 06_11_23_264.png  \n",
            " extracting: train/design_2020-04-24 06_11_58_693.png  \n",
            "  inflating: train/design_2020-04-24 06_13_07_921.png  \n",
            " extracting: train/design_2020-04-24 06_14_57_452.png  \n",
            "  inflating: train/design_2020-04-24 06_14_59_588.png  \n",
            "  inflating: train/design_2020-04-24 06_16_49_159.png  \n",
            " extracting: train/design_2020-04-24 06_17_24_674.png  \n",
            " extracting: train/design_2020-04-24 06_18_19_121.png  \n",
            "  inflating: train/design_2020-04-24 06_19_31_217.png  \n",
            " extracting: train/design_2020-04-24 06_19_36_334.png  \n",
            "  inflating: train/design_2020-04-24 06_22_12_868.png  \n",
            "  inflating: train/design_2020-04-24 06_23_29_649.png  \n",
            "  inflating: train/design_2020-04-24 06_27_43_161.png  \n",
            "  inflating: train/design_2020-04-24 06_28_52_947.png  \n",
            "  inflating: train/design_2020-04-24 06_32_10_166.png  \n",
            "  inflating: train/design_2020-04-24 06_34_41_976.png  \n",
            "  inflating: train/design_2020-04-24 06_40_36_227.png  \n",
            "  inflating: train/design_2020-04-24 06_46_29_110.png  \n",
            " extracting: train/design_2020-04-24 06_51_39_174.png  \n",
            "  inflating: train/design_2020-04-24 06_51_39_497.png  \n",
            "  inflating: train/design_2020-04-24 06_58_16_477.png  \n",
            "  inflating: train/design_2020-04-24 07_01_16_742.png  \n",
            "  inflating: train/design_2020-04-24 07_03_53_332.png  \n",
            "  inflating: train/design_2020-04-24 07_07_11_043.png  \n",
            " extracting: train/design_2020-04-24 07_07_59_684.png  \n",
            "  inflating: train/design_2020-04-24 07_08_55_470.png  \n",
            "  inflating: train/design_2020-04-24 07_09_36_106.png  \n",
            "  inflating: train/design_2020-04-24 07_12_44_511.png  \n",
            " extracting: train/design_2020-04-24 07_12_57_408.png  \n",
            "  inflating: train/design_2020-04-24 07_13_31_335.png  \n",
            "  inflating: train/design_2020-04-24 07_14_31_633.png  \n",
            " extracting: train/design_2020-04-24 07_15_06_650.png  \n",
            " extracting: train/design_2020-04-24 07_21_23_722.png  \n",
            " extracting: train/design_2020-04-24 07_25_37_057.png  \n",
            " extracting: train/design_2020-04-24 07_26_22_037.png  \n",
            " extracting: train/design_2020-04-24 07_27_51_551.png  \n",
            " extracting: train/design_2020-04-24 07_28_37_558.png  \n",
            " extracting: train/design_2020-04-24 07_29_22_771.png  \n",
            " extracting: train/design_2020-04-24 07_30_54_077.png  \n",
            " extracting: train/design_2020-04-24 07_31_38_439.png  \n",
            " extracting: train/design_2020-04-24 07_44_49_225.png  \n",
            " extracting: train/design_2020-04-24 07_47_59_856.png  \n",
            "  inflating: train/design_2020-04-24 07_48_36_396.png  \n",
            " extracting: train/design_2020-04-24 07_48_46_419.png  \n",
            "  inflating: train/design_2020-04-24 07_50_07_817.png  \n",
            "  inflating: train/design_2020-04-24 07_51_11_577.png  \n",
            "  inflating: train/design_2020-04-24 07_53_10_616.png  \n",
            " extracting: train/design_2020-04-24 07_53_58_390.png  \n",
            "  inflating: train/design_2020-04-24 07_55_05_850.png  \n",
            "  inflating: train/design_2020-04-24 07_55_50_285.png  \n",
            "  inflating: train/design_2020-04-24 07_56_41_989.png  \n",
            " extracting: train/design_2020-04-24 07_57_17_179.png  \n",
            "  inflating: train/design_2020-04-24 07_58_36_853.png  \n",
            " extracting: train/design_2020-04-24 07_59_33_820.png  \n",
            "  inflating: train/design_2020-04-24 08_01_18_250.png  \n",
            "  inflating: train/design_2020-04-24 08_01_23_381.png  \n",
            " extracting: train/design_2020-04-24 08_02_04_573.png  \n",
            " extracting: train/design_2020-04-24 08_02_52_232.png  \n",
            "  inflating: train/design_2020-04-24 08_04_25_998.png  \n",
            " extracting: train/design_2020-04-24 08_05_46_004.png  \n",
            " extracting: train/design_2020-04-24 08_06_31_963.png  \n",
            " extracting: train/design_2020-04-24 08_08_15_259.png  \n",
            "  inflating: train/design_2020-04-24 08_08_18_395.png  \n",
            " extracting: train/design_2020-04-24 08_08_18_600.png  \n",
            " extracting: train/design_2020-04-24 08_09_04_367.png  \n",
            " extracting: train/design_2020-04-24 08_10_51_114.png  \n",
            " extracting: train/design_2020-04-24 08_12_45_002.png  \n",
            "  inflating: train/design_2020-04-24 08_13_33_948.png  \n",
            "  inflating: train/design_2020-04-24 08_16_43_971.png  \n",
            "  inflating: train/design_2020-04-24 08_25_57_299.png  \n",
            "  inflating: train/design_2020-04-24 08_33_04_612.png  \n",
            "  inflating: train/design_2020-04-24 08_35_13_879.png  \n",
            "  inflating: train/design_2020-04-24 08_36_11_573.png  \n",
            " extracting: train/design_2020-04-24 08_36_58_529.png  \n",
            "  inflating: train/design_2020-04-24 08_38_58_148.png  \n",
            " extracting: train/design_2020-04-24 08_39_44_301.png  \n",
            " extracting: train/design_2020-04-24 08_42_01_830.png  \n",
            " extracting: train/design_2020-04-24 08_42_47_971.png  \n",
            " extracting: train/design_2020-04-24 08_43_34_168.png  \n",
            " extracting: train/design_2020-04-24 08_45_04_391.png  \n",
            " extracting: train/design_2020-04-24 08_45_12_853.png  \n",
            " extracting: train/design_2020-04-24 08_45_49_740.png  \n",
            " extracting: train/design_2020-04-24 08_47_18_142.png  \n",
            " extracting: train/design_2020-04-24 08_47_25_193.png  \n",
            " extracting: train/design_2020-04-24 08_48_41_193.png  \n",
            "  inflating: train/design_2020-04-24 08_49_44_035.png  \n",
            " extracting: train/design_2020-04-24 08_51_33_805.png  \n",
            " extracting: train/design_2020-04-24 08_51_58_145.png  \n",
            " extracting: train/design_2020-04-24 08_53_00_440.png  \n",
            " extracting: train/design_2020-04-24 08_54_23_981.png  \n",
            " extracting: train/design_2020-04-24 08_55_09_489.png  \n",
            " extracting: train/design_2020-04-24 08_55_49_854.png  \n",
            " extracting: train/design_2020-04-24 08_56_23_619.png  \n",
            " extracting: train/design_2020-04-24 08_58_37_014.png  \n",
            " extracting: train/design_2020-04-24 09_00_08_519.png  \n",
            "  inflating: train/design_2020-04-24 09_01_11_322.png  \n",
            " extracting: train/design_2020-04-24 09_01_36_876.png  \n",
            " extracting: train/design_2020-04-24 09_01_37_960.png  \n",
            " extracting: train/design_2020-04-24 09_03_02_825.png  \n",
            " extracting: train/design_2020-04-24 09_05_52_457.png  \n",
            "  inflating: train/design_2020-04-24 09_07_10_225.png  \n",
            " extracting: train/design_2020-04-24 09_07_19_344.png  \n",
            " extracting: train/design_2020-04-24 09_08_43_583.png  \n",
            "  inflating: train/design_2020-04-24 13_57_44_760.png  \n",
            "  inflating: train/design_2020-04-24 13_58_21_181.png  \n",
            "  inflating: train/design_2020-04-24 14_01_01_625.png  \n",
            " extracting: train/design_2020-04-24 14_02_52_513.png  \n",
            " extracting: train/design_2020-04-24 14_03_40_337.png  \n",
            " extracting: train/design_2020-04-24 14_05_29_528.png  \n",
            " extracting: train/design_2020-04-24 14_06_15_819.png  \n",
            " extracting: train/design_2020-04-24 14_06_18_880.png  \n",
            " extracting: train/design_2020-04-24 14_08_03_208.png  \n",
            " extracting: train/design_2020-04-24 14_10_15_263.png  \n",
            " extracting: train/design_2020-04-24 14_10_38_387.png  \n",
            "  inflating: train/design_2020-04-24 14_11_25_290.png  \n",
            "  inflating: train/design_2020-04-24 14_12_37_110.png  \n",
            " extracting: train/design_2020-04-24 14_12_59_137.png  \n",
            " extracting: train/design_2020-04-24 14_13_16_375.png  \n",
            " extracting: train/design_2020-04-24 14_15_09_873.png  \n",
            " extracting: train/design_2020-04-24 14_15_57_482.png  \n",
            "  inflating: train/design_2020-04-24 14_16_36_970.png  \n",
            "  inflating: train/design_2020-04-24 14_19_04_483.png  \n",
            " extracting: train/design_2020-04-24 14_19_26_836.png  \n",
            "  inflating: train/design_2020-04-24 14_22_14_919.png  \n",
            "  inflating: train/design_2020-04-24 14_23_02_061.png  \n",
            " extracting: train/design_2020-04-24 14_25_28_624.png  \n",
            " extracting: train/design_2020-04-24 14_25_56_759.png  \n",
            " extracting: train/design_2020-04-24 14_28_02_877.png  \n",
            " extracting: train/design_2020-04-24 14_28_48_080.png  \n",
            "  inflating: train/design_2020-04-24 14_30_35_013.png  \n",
            " extracting: train/design_2020-04-24 14_32_15_668.png  \n",
            " extracting: train/design_2020-04-24 14_34_25_530.png  \n",
            " extracting: train/design_2020-04-24 14_34_30_113.png  \n",
            "  inflating: train/design_2020-04-24 14_35_00_338.png  \n",
            " extracting: train/design_2020-04-24 14_36_40_825.png  \n",
            " extracting: train/design_2020-04-24 14_37_31_683.png  \n",
            " extracting: train/design_2020-04-24 14_37_36_429.png  \n",
            " extracting: train/design_2020-04-24 14_38_52_362.png  \n",
            "  inflating: train/design_2020-04-24 14_39_24_503.png  \n",
            "  inflating: train/design_2020-04-24 14_40_10_849.png  \n",
            " extracting: train/design_2020-04-24 14_40_25_669.png  \n",
            "  inflating: train/design_2020-04-24 14_43_16_081.png  \n",
            " extracting: train/design_2020-04-24 14_43_18_197.png  \n",
            " extracting: train/design_2020-04-24 14_44_04_180.png  \n",
            " extracting: train/design_2020-04-24 14_45_35_135.png  \n",
            "  inflating: train/design_2020-04-24 14_45_36_007.png  \n",
            " extracting: train/design_2020-04-24 14_46_18_036.png  \n",
            "  inflating: train/design_2020-04-24 14_47_49_728.png  \n",
            " extracting: train/design_2020-04-24 14_49_47_678.png  \n",
            " extracting: train/design_2020-04-24 14_55_20_156.png  \n",
            " extracting: train/design_2020-04-24 14_55_33_980.png  \n",
            " extracting: train/design_2020-04-24 15_01_20_922.png  \n",
            "  inflating: train/design_2020-04-24 15_03_20_959.png  \n",
            " extracting: train/design_2020-04-24 15_03_35_611.png  \n",
            " extracting: train/design_2020-04-24 15_03_42_491.png  \n",
            "  inflating: train/design_2020-04-24 15_05_11_959.png  \n",
            "  inflating: train/design_2020-04-24 15_07_09_711.png  \n",
            " extracting: train/design_2020-04-24 15_07_54_205.png  \n",
            " extracting: train/design_2020-04-24 15_07_57_757.png  \n",
            " extracting: train/design_2020-04-24 15_09_24_956.png  \n",
            "  inflating: train/design_2020-04-24 15_09_28_322.png  \n",
            "  inflating: train/design_2020-04-24 15_09_43_017.png  \n",
            " extracting: train/design_2020-04-24 15_10_57_054.png  \n",
            "  inflating: train/design_2020-04-24 15_11_11_030.png  \n",
            " extracting: train/design_2020-04-24 15_13_13_273.png  \n",
            " extracting: train/design_2020-04-24 15_13_55_776.png  \n",
            " extracting: train/design_2020-04-24 15_15_25_425.png  \n",
            "  inflating: train/design_2020-04-24 15_15_30_970.png  \n",
            "  inflating: train/design_2020-04-24 15_17_51_375.png  \n",
            " extracting: train/design_2020-04-24 15_18_17_836.png  \n",
            "  inflating: train/design_2020-04-24 15_19_43_776.png  \n",
            "  inflating: train/design_2020-04-24 15_21_46_240.png  \n",
            "  inflating: train/design_2020-04-24 15_22_01_602.png  \n",
            " extracting: train/design_2020-04-24 15_22_31_317.png  \n",
            " extracting: train/design_2020-04-24 15_24_20_538.png  \n",
            "  inflating: train/design_2020-04-24 15_25_16_167.png  \n",
            " extracting: train/design_2020-04-24 15_26_39_303.png  \n",
            " extracting: train/design_2020-04-24 15_28_21_813.png  \n",
            "  inflating: train/design_2020-04-24 15_28_32_178.png  \n",
            " extracting: train/design_2020-04-24 15_29_46_072.png  \n",
            "  inflating: train/design_2020-04-24 15_30_47_978.png  \n",
            " extracting: train/design_2020-04-24 15_30_54_565.png  \n",
            " extracting: train/design_2020-04-24 15_31_08_475.png  \n",
            " extracting: train/design_2020-04-24 15_32_52_239.png  \n",
            "  inflating: train/design_2020-04-24 15_34_16_985.png  \n",
            "  inflating: train/design_2020-04-24 15_36_26_413.png  \n",
            "  inflating: train/design_2020-04-24 15_36_57_622.png  \n",
            " extracting: train/design_2020-04-24 15_39_10_853.png  \n",
            " extracting: train/design_2020-04-24 15_39_26_529.png  \n",
            "  inflating: train/design_2020-04-24 15_39_45_104.png  \n",
            "  inflating: train/design_2020-04-24 15_39_55_224.png  \n",
            "  inflating: train/design_2020-04-24 15_40_32_869.png  \n",
            " extracting: train/design_2020-04-24 15_41_16_481.png  \n",
            "  inflating: train/design_2020-04-24 15_45_49_774.png  \n",
            "  inflating: train/design_2020-04-24 15_47_18_609.png  \n",
            " extracting: train/design_2020-04-24 15_47_28_016.png  \n",
            "  inflating: train/design_2020-04-24 15_48_00_008.png  \n",
            " extracting: train/design_2020-04-24 15_48_06_205.png  \n",
            "  inflating: train/design_2020-04-24 15_49_08_033.png  \n",
            " extracting: train/design_2020-04-24 15_49_35_009.png  \n",
            "  inflating: train/design_2020-04-24 15_50_05_743.png  \n",
            " extracting: train/design_2020-04-24 15_50_43_959.png  \n",
            "  inflating: train/design_2020-04-24 15_52_08_042.png  \n",
            "  inflating: train/design_2020-04-24 15_53_42_352.png  \n",
            " extracting: train/design_2020-04-24 15_54_30_062.png  \n",
            "  inflating: train/design_2020-04-24 15_55_02_926.png  \n",
            " extracting: train/design_2020-04-24 15_55_47_981.png  \n",
            "  inflating: train/design_2020-04-24 15_56_14_327.png  \n",
            " extracting: train/design_2020-04-24 15_57_10_239.png  \n",
            " extracting: train/design_2020-04-24 15_57_56_222.png  \n",
            "  inflating: train/design_2020-04-24 15_58_25_578.png  \n",
            "  inflating: train/design_2020-04-24 15_59_08_914.png  \n",
            " extracting: train/design_2020-04-24 15_59_52_844.png  \n",
            "  inflating: train/design_2020-04-24 15_59_59_380.png  \n",
            " extracting: train/design_2020-04-24 16_00_36_407.png  \n",
            " extracting: train/design_2020-04-24 16_02_10_231.png  \n",
            " extracting: train/design_2020-04-24 16_02_38_330.png  \n",
            " extracting: train/design_2020-04-24 16_03_22_972.png  \n",
            "  inflating: train/design_2020-04-24 16_04_50_308.png  \n",
            " extracting: train/design_2020-04-24 16_05_09_755.png  \n",
            " extracting: train/design_2020-04-24 16_06_14_023.png  \n",
            "  inflating: train/design_2020-04-24 16_07_40_239.png  \n",
            " extracting: train/design_2020-04-24 16_07_42_014.png  \n",
            " extracting: train/design_2020-04-24 16_08_26_602.png  \n",
            "  inflating: train/design_2020-04-24 16_10_31_806.png  \n",
            "  inflating: train/design_2020-04-24 16_13_16_741.png  \n",
            "  inflating: train/design_2020-04-24 16_13_23_298.png  \n",
            "  inflating: train/design_2020-04-24 16_16_15_546.png  \n",
            "  inflating: train/design_2020-04-24 16_16_22_960.png  \n",
            " extracting: train/design_2020-04-24 16_19_29_959.png  \n",
            "  inflating: train/design_2020-04-24 16_19_39_499.png  \n",
            " extracting: train/design_2020-04-24 16_20_58_834.png  \n",
            "  inflating: train/design_2020-04-24 16_23_56_081.png  \n",
            "  inflating: train/design_2020-04-24 16_24_51_249.png  \n",
            " extracting: train/design_2020-04-24 16_25_24_042.png  \n",
            " extracting: train/design_2020-04-24 16_25_31_923.png  \n",
            " extracting: train/design_2020-04-24 16_26_59_802.png  \n",
            "  inflating: train/design_2020-04-24 16_28_28_563.png  \n",
            " extracting: train/design_2020-04-24 16_29_59_177.png  \n",
            "  inflating: train/design_2020-04-24 16_30_53_616.png  \n",
            " extracting: train/design_2020-04-24 16_31_24_722.png  \n",
            " extracting: train/design_2020-04-24 16_31_28_515.png  \n",
            "  inflating: train/design_2020-04-24 16_33_08_596.png  \n",
            " extracting: train/design_2020-04-24 16_33_17_837.png  \n",
            " extracting: train/design_2020-04-24 16_34_05_493.png  \n",
            " extracting: train/design_2020-04-24 16_35_56_232.png  \n",
            "  inflating: train/design_2020-04-24 16_36_11_963.png  \n",
            " extracting: train/design_2020-04-24 16_36_42_432.png  \n",
            "  inflating: train/design_2020-04-24 16_36_47_891.png  \n",
            "  inflating: train/design_2020-04-24 16_36_58_180.png  \n",
            " extracting: train/design_2020-04-24 16_37_31_772.png  \n",
            "  inflating: train/design_2020-04-24 16_38_17_989.png  \n",
            " extracting: train/design_2020-04-24 16_39_40_880.png  \n",
            "  inflating: train/design_2020-04-24 16_40_44_819.png  \n",
            "  inflating: train/design_2020-04-24 16_47_57_216.png  \n",
            "  inflating: train/design_2020-04-24 16_48_08_730.png  \n",
            "  inflating: train/design_2020-04-24 16_52_34_857.png  \n",
            " extracting: train/design_2020-04-24 17_00_21_963.png  \n",
            "  inflating: train/design_2020-04-24 17_04_38_085.png  \n",
            " extracting: train/design_2020-04-24 17_10_01_700.png  \n",
            " extracting: train/design_2020-04-24 17_11_23_538.png  \n",
            "  inflating: train/design_2020-04-24 17_15_23_774.png  \n",
            " extracting: train/design_2020-04-24 17_15_58_960.png  \n",
            " extracting: train/design_2020-04-24 17_17_28_272.png  \n",
            "  inflating: train/design_2020-04-24 17_17_32_006.png  \n",
            "  inflating: train/design_2020-04-24 17_21_51_304.png  \n",
            "  inflating: train/design_2020-04-24 17_22_00_169.png  \n",
            " extracting: train/design_2020-04-24 17_22_39_625.png  \n",
            " extracting: train/design_2020-04-24 17_25_32_345.png  \n",
            " extracting: train/design_2020-04-24 17_27_51_028.png  \n",
            "  inflating: train/design_2020-04-24 17_29_08_827.png  \n",
            " extracting: train/design_2020-04-24 17_30_31_923.png  \n",
            " extracting: train/design_2020-04-24 17_33_15_059.png  \n",
            "  inflating: train/design_2020-04-24 17_33_25_240.png  \n",
            "  inflating: train/design_2020-04-24 17_34_53_073.png  \n",
            "  inflating: train/design_2020-04-24 17_35_23_979.png  \n",
            " extracting: train/design_2020-04-24 17_37_45_983.png  \n",
            "  inflating: train/design_2020-04-24 17_38_27_551.png  \n",
            "  inflating: train/design_2020-04-24 17_40_15_764.png  \n",
            "  inflating: train/design_2020-04-24 17_40_41_646.png  \n",
            " extracting: train/design_2020-04-24 17_40_56_021.png  \n",
            " extracting: train/design_2020-04-24 17_41_42_525.png  \n",
            "  inflating: train/design_2020-04-24 17_41_43_645.png  \n",
            "  inflating: train/design_2020-04-24 17_42_48_720.png  \n",
            " extracting: train/design_2020-04-24 17_43_37_298.png  \n",
            "  inflating: train/design_2020-04-24 17_46_13_718.png  \n",
            "  inflating: train/design_2020-04-24 17_46_16_503.png  \n",
            " extracting: train/design_2020-04-24 17_47_02_637.png  \n",
            "  inflating: train/design_2020-04-24 17_47_07_214.png  \n",
            "  inflating: train/design_2020-04-24 17_47_43_103.png  \n",
            "  inflating: train/design_2020-04-24 17_50_42_460.png  \n",
            "  inflating: train/design_2020-04-24 17_50_46_011.png  \n",
            "  inflating: train/design_2020-04-24 17_51_27_587.png  \n",
            "  inflating: train/design_2020-04-24 17_52_12_806.png  \n",
            "  inflating: train/design_2020-04-24 17_56_45_620.png  \n",
            "  inflating: train/design_2020-04-24 17_57_39_052.png  \n",
            "  inflating: train/design_2020-04-24 18_02_43_092.png  \n",
            "  inflating: train/design_2020-04-24 18_03_19_910.png  \n",
            "  inflating: train/design_2020-04-24 18_08_57_564.png  \n",
            "  inflating: train/design_2020-04-24 18_09_01_582.png  \n",
            " extracting: train/design_2020-04-24 18_10_27_164.png  \n",
            " extracting: train/design_2020-04-24 18_12_44_914.png  \n",
            " extracting: train/design_2020-04-24 18_14_56_994.png  \n",
            "  inflating: train/design_2020-04-24 18_15_44_114.png  \n",
            " extracting: train/design_2020-04-24 18_17_15_743.png  \n",
            "  inflating: train/design_2020-04-24 18_17_50_919.png  \n",
            " extracting: train/design_2020-04-24 18_20_08_963.png  \n",
            " extracting: train/design_2020-04-24 18_21_40_360.png  \n",
            "  inflating: train/design_2020-04-24 18_24_14_667.png  \n",
            "  inflating: train/design_2020-04-24 18_26_26_181.png  \n",
            " extracting: train/design_2020-04-24 18_28_16_764.png  \n",
            "  inflating: train/design_2020-04-24 18_28_46_249.png  \n",
            "  inflating: train/design_2020-04-24 18_31_55_568.png  \n",
            "  inflating: train/design_2020-04-24 18_32_41_584.png  \n",
            " extracting: train/design_2020-04-24 18_35_54_746.png  \n",
            "  inflating: train/design_2020-04-24 18_37_10_034.png  \n",
            " extracting: train/design_2020-04-24 18_38_55_858.png  \n",
            " extracting: train/design_2020-04-24 18_39_06_081.png  \n",
            " extracting: train/design_2020-04-24 18_40_26_472.png  \n",
            " extracting: train/design_2020-04-24 18_40_43_314.png  \n",
            " extracting: train/design_2020-04-24 18_41_48_846.png  \n",
            " extracting: train/design_2020-04-24 18_43_09_899.png  \n",
            " extracting: train/design_2020-04-24 18_44_38_246.png  \n",
            " extracting: train/design_2020-04-24 18_45_25_674.png  \n",
            " extracting: train/design_2020-04-24 18_48_25_251.png  \n",
            "  inflating: train/design_2020-04-24 18_52_54_614.png  \n",
            " extracting: train/design_2020-04-24 18_54_42_621.png  \n",
            "  inflating: train/design_2020-04-24 18_55_58_609.png  \n",
            "  inflating: train/design_2020-04-24 18_56_45_226.png  \n",
            " extracting: train/design_2020-04-24 18_57_32_776.png  \n",
            "  inflating: train/design_2020-04-24 18_59_29_606.png  \n",
            " extracting: train/design_2020-04-24 19_00_08_637.png  \n",
            "  inflating: train/design_2020-04-24 19_01_05_257.png  \n",
            " extracting: train/design_2020-04-24 19_02_40_623.png  \n",
            "  inflating: train/design_2020-04-24 19_02_47_448.png  \n",
            " extracting: train/design_2020-04-24 19_05_49_680.png  \n",
            "  inflating: train/design_2020-04-24 19_05_51_891.png  \n",
            " extracting: train/design_2020-04-24 19_07_21_351.png  \n",
            " extracting: train/design_2020-04-24 19_08_09_414.png  \n",
            " extracting: train/design_2020-04-24 19_08_56_242.png  \n",
            " extracting: train/design_2020-04-24 19_10_29_492.png  \n",
            " extracting: train/design_2020-04-24 19_11_16_242.png  \n",
            "  inflating: train/design_2020-04-24 19_12_04_334.png  \n",
            "  inflating: train/design_2020-04-24 19_14_19_029.png  \n",
            "  inflating: train/design_2020-04-24 19_15_15_500.png  \n",
            "  inflating: train/design_2020-04-24 19_22_35_144.png  \n",
            " extracting: train/design_2020-04-24 19_24_40_785.png  \n",
            "  inflating: train/design_2020-04-24 19_25_13_467.png  \n",
            " extracting: train/design_2020-04-24 19_32_06_287.png  \n",
            "  inflating: train/design_2020-04-24 19_33_12_390.png  \n",
            " extracting: train/design_2020-04-24 19_35_18_077.png  \n",
            "  inflating: train/design_2020-04-24 19_35_26_217.png  \n",
            " extracting: train/design_2020-04-24 19_36_04_613.png  \n",
            "  inflating: train/design_2020-04-24 19_36_14_111.png  \n",
            "  inflating: train/design_2020-04-24 19_37_38_940.png  \n",
            "  inflating: train/design_2020-04-24 19_41_46_057.png  \n",
            "  inflating: train/design_2020-04-24 19_43_43_103.png  \n",
            "  inflating: train/design_2020-04-24 19_43_56_955.png  \n",
            "  inflating: train/design_2020-04-24 19_46_44_322.png  \n",
            "  inflating: train/design_2020-04-24 19_48_14_745.png  \n",
            "  inflating: train/design_2020-04-24 19_48_27_436.png  \n",
            " extracting: train/design_2020-04-24 19_49_16_925.png  \n",
            "  inflating: train/design_2020-04-24 19_49_49_695.png  \n",
            "  inflating: train/design_2020-04-24 19_50_03_118.png  \n",
            "  inflating: train/design_2020-04-24 19_52_15_454.png  \n",
            "  inflating: train/design_2020-04-24 19_52_52_493.png  \n",
            "  inflating: train/design_2020-04-24 19_53_12_741.png  \n",
            "  inflating: train/design_2020-04-24 19_55_33_369.png  \n",
            "  inflating: train/design_2020-04-24 19_59_58_974.png  \n",
            "  inflating: train/design_2020-04-24 20_01_26_867.png  \n",
            "  inflating: train/design_2020-04-24 20_02_01_352.png  \n",
            "  inflating: train/design_2020-04-24 20_02_49_013.png  \n",
            "  inflating: train/design_2020-04-24 20_03_09_502.png  \n",
            "  inflating: train/design_2020-04-24 20_08_25_447.png  \n",
            "  inflating: train/design_2020-04-24 20_09_47_611.png  \n",
            "  inflating: train/design_2020-04-24 20_09_48_861.png  \n",
            "  inflating: train/design_2020-04-24 20_12_01_014.png  \n",
            "  inflating: train/design_2020-04-24 20_12_43_068.png  \n",
            "  inflating: train/design_2020-04-24 20_14_09_404.png  \n",
            "  inflating: train/design_2020-04-24 20_14_34_614.png  \n",
            "  inflating: train/design_2020-04-24 20_17_09_031.png  \n",
            " extracting: train/design_2020-04-24 20_17_55_886.png  \n",
            "  inflating: train/design_2020-04-24 20_18_24_125.png  \n",
            "  inflating: train/design_2020-04-24 20_20_30_162.png  \n",
            "  inflating: train/design_2020-04-24 20_22_30_926.png  \n",
            "  inflating: train/design_2020-04-24 20_23_06_296.png  \n",
            "  inflating: train/design_2020-04-24 20_24_03_555.png  \n",
            "  inflating: train/design_2020-04-24 20_30_11_781.png  \n",
            "  inflating: train/design_2020-04-24 20_33_43_721.png  \n",
            "  inflating: train/design_2020-04-24 20_34_30_435.png  \n",
            "  inflating: train/design_2020-04-24 20_36_48_403.png  \n",
            "  inflating: train/design_2020-04-24 20_37_33_547.png  \n",
            " extracting: train/design_2020-04-24 20_38_57_892.png  \n",
            " extracting: train/design_2020-04-24 20_39_11_437.png  \n",
            " extracting: train/design_2020-04-24 20_39_52_157.png  \n",
            " extracting: train/design_2020-04-24 20_41_57_011.png  \n",
            " extracting: train/design_2020-04-24 20_42_43_413.png  \n",
            "  inflating: train/design_2020-04-24 20_46_37_070.png  \n",
            "  inflating: train/design_2020-04-24 20_48_04_199.png  \n",
            " extracting: train/design_2020-04-24 20_50_30_340.png  \n",
            "  inflating: train/design_2020-04-24 20_51_10_077.png  \n",
            "  inflating: train/design_2020-04-24 20_57_19_021.png  \n",
            "  inflating: train/design_2020-04-24 20_58_01_587.png  \n",
            "  inflating: train/design_2020-04-24 20_58_48_632.png  \n",
            "  inflating: train/design_2020-04-24 20_58_52_089.png  \n",
            "  inflating: train/design_2020-04-24 21_00_21_992.png  \n",
            "  inflating: train/design_2020-04-24 21_01_49_145.png  \n",
            " extracting: train/design_2020-04-24 21_01_54_753.png  \n",
            " extracting: train/design_2020-04-24 21_03_24_249.png  \n",
            "  inflating: train/design_2020-04-24 21_05_08_868.png  \n",
            " extracting: train/design_2020-04-24 21_07_59_883.png  \n",
            " extracting: train/design_2020-04-24 21_08_10_055.png  \n",
            " extracting: train/design_2020-04-24 21_09_27_680.png  \n",
            " extracting: train/design_2020-04-24 21_10_55_483.png  \n",
            " extracting: train/design_2020-04-24 21_11_00_854.png  \n",
            " extracting: train/design_2020-04-24 21_12_20_559.png  \n",
            " extracting: train/design_2020-04-24 21_13_47_654.png  \n",
            " extracting: train/design_2020-04-24 21_13_48_018.png  \n",
            " extracting: train/design_2020-04-24 21_14_41_523.png  \n",
            " extracting: train/design_2020-04-24 21_15_14_808.png  \n",
            "  inflating: train/design_2020-04-24 21_16_39_466.png  \n",
            " extracting: train/design_2020-04-24 21_16_44_443.png  \n",
            " extracting: train/design_2020-04-24 21_17_51_697.png  \n",
            " extracting: train/design_2020-04-24 21_21_00_522.png  \n",
            " extracting: train/design_2020-04-24 21_21_12_600.png  \n",
            " extracting: train/design_2020-04-24 21_22_44_039.png  \n",
            "  inflating: train/design_2020-04-24 21_25_04_404.png  \n",
            " extracting: train/design_2020-04-24 21_27_23_501.png  \n",
            " extracting: train/design_2020-04-24 21_29_17_544.png  \n",
            " extracting: train/design_2020-04-24 21_32_09_207.png  \n",
            " extracting: train/design_2020-04-24 21_34_06_838.png  \n",
            " extracting: train/design_2020-04-24 21_36_20_000.png  \n",
            " extracting: train/design_2020-04-24 21_38_10_590.png  \n",
            "  inflating: train/design_2020-04-24 21_41_10_531.png  \n",
            "  inflating: train/design_2020-04-24 21_42_53_102.png  \n",
            "  inflating: train/design_2020-04-24 21_46_40_431.png  \n",
            "  inflating: train/design_2020-04-24 21_46_48_615.png  \n",
            "  inflating: train/design_2020-04-24 21_47_38_550.png  \n",
            "  inflating: train/design_2020-04-24 21_48_12_337.png  \n",
            "  inflating: train/design_2020-04-24 21_50_24_433.png  \n",
            "  inflating: train/design_2020-04-24 21_52_28_319.png  \n",
            "  inflating: train/design_2020-04-24 21_55_17_289.png  \n",
            "  inflating: train/design_2020-04-24 21_58_55_827.png  \n",
            "  inflating: train/design_2020-04-24 22_01_41_359.png  \n",
            "  inflating: train/design_2020-04-24 22_03_48_580.png  \n",
            " extracting: train/design_2020-04-24 22_04_33_652.png  \n",
            "  inflating: train/design_2020-04-24 22_05_18_386.png  \n",
            "  inflating: train/design_2020-04-24 22_06_01_479.png  \n",
            " extracting: train/design_2020-04-24 22_06_03_185.png  \n",
            " extracting: train/design_2020-04-24 22_06_40_127.png  \n",
            " extracting: train/design_2020-04-24 22_06_46_484.png  \n",
            "  inflating: train/design_2020-04-24 22_07_47_695.png  \n",
            " extracting: train/design_2020-04-24 22_08_34_460.png  \n",
            "  inflating: train/design_2020-04-24 22_09_19_133.png  \n",
            " extracting: train/design_2020-04-24 22_09_19_411.png  \n",
            "  inflating: train/design_2020-04-24 22_09_41_142.png  \n",
            "  inflating: train/design_2020-04-24 22_12_43_758.png  \n",
            "  inflating: train/design_2020-04-24 22_15_05_758.png  \n",
            "  inflating: train/design_2020-04-24 22_15_44_325.png  \n",
            "  inflating: train/design_2020-04-24 22_18_43_954.png  \n",
            "  inflating: train/design_2020-04-24 22_20_51_219.png  \n",
            "  inflating: train/design_2020-04-24 22_21_41_556.png  \n",
            "  inflating: train/design_2020-04-24 22_22_29_099.png  \n",
            "  inflating: train/design_2020-04-24 22_24_44_981.png  \n",
            "  inflating: train/design_2020-04-24 22_25_28_717.png  \n",
            "  inflating: train/design_2020-04-24 22_27_40_340.png  \n",
            "  inflating: train/design_2020-04-24 22_29_53_491.png  \n",
            "  inflating: train/design_2020-04-24 22_29_59_675.png  \n",
            "  inflating: train/design_2020-04-24 22_32_51_911.png  \n",
            "  inflating: train/design_2020-04-24 22_33_36_294.png  \n",
            "  inflating: train/design_2020-04-24 22_34_47_167.png  \n",
            "  inflating: train/design_2020-04-24 22_36_39_908.png  \n",
            "  inflating: train/design_2020-04-24 22_37_46_504.png  \n",
            " extracting: train/design_2020-04-24 22_37_57_180.png  \n",
            "  inflating: train/design_2020-04-24 22_38_30_911.png  \n",
            "  inflating: train/design_2020-04-24 22_40_39_497.png  \n",
            " extracting: train/design_2020-04-24 22_43_39_619.png  \n",
            " extracting: train/design_2020-04-24 22_45_03_804.png  \n",
            "  inflating: train/design_2020-04-24 22_49_10_944.png  \n",
            " extracting: train/design_2020-04-24 23_00_19_786.png  \n",
            "  inflating: train/design_2020-04-24 23_03_20_092.png  \n",
            " extracting: train/design_2020-04-24 23_06_06_524.png  \n",
            " extracting: train/design_2020-04-24 23_11_42_480.png  \n",
            "  inflating: train/design_2020-04-24 23_12_22_909.png  \n",
            " extracting: train/design_2020-04-24 23_13_10_080.png  \n",
            " extracting: train/design_2020-04-24 23_13_29_113.png  \n",
            " extracting: train/design_2020-04-24 23_15_32_530.png  \n",
            "  inflating: train/design_2020-04-24 23_15_57_352.png  \n",
            " extracting: train/design_2020-04-24 23_16_19_732.png  \n",
            " extracting: train/design_2020-04-24 23_16_41_955.png  \n",
            "  inflating: train/design_2020-04-24 23_17_27_636.png  \n",
            " extracting: train/design_2020-04-24 23_18_41_943.png  \n",
            "  inflating: train/design_2020-04-24 23_20_02_182.png  \n",
            "  inflating: train/design_2020-04-24 23_20_27_645.png  \n",
            "  inflating: train/design_2020-04-24 23_25_56_947.png  \n",
            "  inflating: train/design_2020-04-24 23_27_26_001.png  \n",
            "  inflating: train/design_2020-04-24 23_28_38_408.png  \n",
            "  inflating: train/design_2020-04-24 23_30_25_399.png  \n",
            "  inflating: train/design_2020-04-24 23_30_55_819.png  \n",
            "  inflating: train/design_2020-04-24 23_33_07_429.png  \n",
            "  inflating: train/design_2020-04-24 23_34_18_222.png  \n",
            " extracting: train/design_2020-04-24 23_34_54_505.png  \n",
            "  inflating: train/design_2020-04-24 23_41_40_909.png  \n",
            " extracting: train/design_2020-04-24 23_43_28_852.png  \n",
            " extracting: train/design_2020-04-24 23_45_36_445.png  \n",
            " extracting: train/design_2020-04-24 23_47_40_687.png  \n",
            "  inflating: train/design_2020-04-24 23_48_25_822.png  \n",
            "  inflating: train/design_2020-04-24 23_51_22_916.png  \n",
            "  inflating: train/design_2020-04-24 23_54_26_951.png  \n",
            " extracting: train/design_2020-04-24 23_55_00_181.png  \n",
            "  inflating: train/design_2020-04-24 23_58_00_257.png  \n",
            "  inflating: train/design_2020-04-24 23_58_45_665.png  \n",
            " extracting: train/design_2020-04-24 23_59_50_424.png  \n",
            " extracting: train/design_2020-04-25 00_00_37_677.png  \n",
            "  inflating: train/design_2020-04-25 00_01_48_747.png  \n",
            "  inflating: train/design_2020-04-25 00_03_39_668.png  \n",
            "  inflating: train/design_2020-04-25 00_03_56_773.png  \n",
            "  inflating: train/design_2020-04-25 00_03_58_889.png  \n",
            "  inflating: train/design_2020-04-25 00_05_10_210.png  \n",
            "  inflating: train/design_2020-04-25 00_05_19_752.png  \n",
            "  inflating: train/design_2020-04-25 00_06_13_882.png  \n",
            "  inflating: train/design_2020-04-25 00_06_42_033.png  \n",
            "  inflating: train/design_2020-04-25 00_09_42_906.png  \n",
            "  inflating: train/design_2020-04-25 00_10_36_554.png  \n",
            "  inflating: train/design_2020-04-25 00_11_16_758.png  \n",
            "  inflating: train/design_2020-04-25 00_12_26_443.png  \n",
            "  inflating: train/design_2020-04-25 00_12_47_805.png  \n",
            "  inflating: train/design_2020-04-25 00_12_48_318.png  \n",
            "  inflating: train/design_2020-04-25 00_13_35_360.png  \n",
            "  inflating: train/design_2020-04-25 00_15_00_902.png  \n",
            "  inflating: train/design_2020-04-25 00_16_45_179.png  \n",
            "  inflating: train/design_2020-04-25 00_19_07_973.png  \n",
            "  inflating: train/design_2020-04-25 00_19_23_677.png  \n",
            "  inflating: train/design_2020-04-25 00_20_08_733.png  \n",
            "  inflating: train/design_2020-04-25 00_25_21_937.png  \n",
            " extracting: train/design_2020-04-25 00_29_37_091.png  \n",
            " extracting: train/design_2020-04-25 00_31_44_749.png  \n",
            " extracting: train/design_2020-04-25 00_38_20_830.png  \n",
            " extracting: train/design_2020-04-25 00_40_35_476.png  \n",
            " extracting: train/design_2020-04-25 00_42_46_193.png  \n",
            "  inflating: train/design_2020-04-25 01_03_37_466.png  \n",
            "  inflating: train/design_2020-04-25 01_06_34_515.png  \n",
            "  inflating: train/design_2020-04-25 01_22_15_929.png  \n",
            " extracting: train/design_2020-04-25 01_23_01_028.png  \n",
            "  inflating: train/design_2020-04-25 01_26_32_388.png  \n",
            "  inflating: train/design_2020-04-25 01_26_51_176.png  \n",
            "  inflating: train/design_2020-04-25 01_28_22_794.png  \n",
            "  inflating: train/design_2020-04-25 01_29_25_362.png  \n",
            " extracting: train/design_2020-04-25 01_31_19_695.png  \n",
            "  inflating: train/design_2020-04-25 01_32_46_879.png  \n",
            " extracting: train/design_2020-04-25 01_35_38_878.png  \n",
            " extracting: train/design_2020-04-25 01_36_00_370.png  \n",
            " extracting: train/design_2020-04-25 01_37_04_422.png  \n",
            "  inflating: train/design_2020-04-25 01_38_32_208.png  \n",
            " extracting: train/design_2020-04-25 01_39_58_532.png  \n",
            "  inflating: train/design_2020-04-25 01_40_43_041.png  \n",
            " extracting: train/design_2020-04-25 01_46_49_293.png  \n",
            " extracting: train/design_2020-04-25 01_49_55_477.png  \n",
            " extracting: train/design_2020-04-25 01_54_21_684.png  \n",
            " extracting: train/design_2020-04-25 01_57_12_976.png  \n",
            " extracting: train/design_2020-04-25 01_57_59_412.png  \n",
            "  inflating: train/design_2020-04-25 02_00_19_556.png  \n",
            "  inflating: train/design_2020-05-12 02_25_54_942.png  \n",
            " extracting: train/design_2020-05-12 02_26_23_357.png  \n",
            "  inflating: train/design_2020-05-12 02_27_07_664.png  \n",
            " extracting: train/design_2020-05-12 02_27_09_789.png  \n",
            "  inflating: train/design_2020-05-12 02_30_08_172.png  \n",
            " extracting: train/design_2020-05-12 02_30_09_150.png  \n",
            "  inflating: train/design_2020-05-12 02_32_03_595.png  \n",
            " extracting: train/design_2020-05-12 02_32_19_968.png  \n",
            " extracting: train/design_2020-05-12 02_32_59_243.png  \n",
            " extracting: train/design_2020-05-12 02_33_51_162.png  \n",
            " extracting: train/design_2020-05-12 02_35_34_800.png  \n",
            "  inflating: train/design_2020-05-12 02_35_58_441.png  \n",
            "  inflating: train/design_2020-05-12 02_36_34_153.png  \n",
            "  inflating: train/design_2020-05-12 02_38_03_682.png  \n",
            " extracting: train/design_2020-05-12 02_38_52_439.png  \n",
            " extracting: train/design_2020-05-12 02_39_50_629.png  \n",
            "  inflating: train/design_2020-05-12 02_42_29_842.png  \n",
            "  inflating: train/design_2020-05-12 02_43_58_604.png  \n",
            " extracting: train/design_2020-05-12 02_44_22_274.png  \n",
            " extracting: train/design_2020-05-12 02_44_38_456.png  \n",
            " extracting: train/design_2020-05-12 02_46_40_150.png  \n",
            " extracting: train/design_2020-05-12 02_47_33_247.png  \n",
            " extracting: train/design_2020-05-12 02_50_07_448.png  \n",
            " extracting: train/design_2020-05-12 02_50_27_411.png  \n",
            "  inflating: train/design_2020-05-12 02_50_54_503.png  \n",
            " extracting: train/design_2020-05-12 02_51_27_791.png  \n",
            "  inflating: train/design_2020-05-12 02_52_27_546.png  \n",
            " extracting: train/design_2020-05-12 02_52_56_240.png  \n",
            "  inflating: train/design_2020-05-12 02_54_01_812.png  \n",
            " extracting: train/design_2020-05-12 02_55_55_918.png  \n",
            "  inflating: train/design_2020-05-12 02_56_24_147.png  \n",
            " extracting: train/design_2020-05-12 02_57_25_361.png  \n",
            " extracting: train/design_2020-05-12 02_57_56_077.png  \n",
            " extracting: train/design_2020-05-12 02_58_57_535.png  \n",
            " extracting: train/design_2020-05-12 03_00_25_560.png  \n",
            " extracting: train/design_2020-05-12 03_00_56_771.png  \n",
            "  inflating: train/design_2020-05-12 03_02_39_065.png  \n",
            "  inflating: train/design_2020-05-12 03_03_38_128.png  \n",
            " extracting: train/design_2020-05-12 03_03_56_876.png  \n",
            "  inflating: train/design_2020-05-12 03_05_07_192.png  \n",
            "  inflating: train/design_2020-05-12 03_06_36_595.png  \n",
            " extracting: train/design_2020-05-12 03_06_54_726.png  \n",
            "  inflating: train/design_2020-05-12 03_07_04_191.png  \n",
            "  inflating: train/design_2020-05-12 03_07_42_366.png  \n",
            " extracting: train/design_2020-05-12 03_08_24_284.png  \n",
            "  inflating: train/design_2020-05-12 03_09_38_916.png  \n",
            "  inflating: train/design_2020-05-12 03_10_36_080.png  \n",
            "  inflating: train/design_2020-05-12 03_11_09_036.png  \n",
            "  inflating: train/design_2020-05-12 03_11_32_514.png  \n",
            "  inflating: train/design_2020-05-12 03_12_42_142.png  \n",
            "  inflating: train/design_2020-05-12 03_13_28_869.png  \n",
            "  inflating: train/design_2020-05-12 03_13_42_791.png  \n",
            " extracting: train/design_2020-05-12 03_43_28_197.png  \n",
            "  inflating: train/design_2020-05-12 03_55_43_639.png  \n",
            "  inflating: train/design_2020-05-12 03_59_06_689.png  \n",
            "  inflating: train/design_2020-05-12 03_59_24_732.png  \n",
            "  inflating: train/design_2020-05-12 04_02_02_546.png  \n",
            " extracting: train/design_2020-05-12 04_03_05_209.png  \n",
            " extracting: train/design_2020-05-12 04_03_51_233.png  \n",
            " extracting: train/design_2020-05-12 04_05_17_787.png  \n",
            "  inflating: train/design_2020-05-12 04_06_47_153.png  \n",
            "  inflating: train/design_2020-05-12 04_06_51_198.png  \n",
            "  inflating: train/design_2020-05-12 04_09_53_785.png  \n",
            " extracting: train/design_2020-05-12 04_10_26_812.png  \n",
            "  inflating: train/design_2020-05-12 04_10_30_315.png  \n",
            "  inflating: train/design_2020-05-12 04_11_10_433.png  \n",
            " extracting: train/design_2020-05-12 04_12_37_174.png  \n",
            "  inflating: train/design_2020-05-12 04_12_56_001.png  \n",
            "  inflating: train/design_2020-05-12 04_14_13_480.png  \n",
            " extracting: train/design_2020-05-12 04_14_49_095.png  \n",
            "  inflating: train/design_2020-05-12 04_15_52_658.png  \n",
            "  inflating: train/design_2020-05-12 04_17_20_179.png  \n",
            " extracting: train/design_2020-05-12 04_18_49_464.png  \n",
            " extracting: train/design_2020-05-12 04_19_10_274.png  \n",
            " extracting: train/design_2020-05-12 04_21_20_183.png  \n",
            " extracting: train/design_2020-05-12 04_23_31_908.png  \n",
            " extracting: train/design_2020-05-12 04_24_42_872.png  \n",
            "  inflating: train/design_2020-05-12 04_25_22_534.png  \n",
            "  inflating: train/design_2020-05-12 04_25_57_827.png  \n",
            " extracting: train/design_2020-05-12 04_26_46_528.png  \n",
            " extracting: train/design_2020-05-12 04_28_26_302.png  \n",
            " extracting: train/design_2020-05-12 04_29_22_661.png  \n",
            " extracting: train/design_2020-05-12 04_30_02_289.png  \n",
            " extracting: train/design_2020-05-12 04_31_19_680.png  \n",
            " extracting: train/design_2020-05-12 04_31_30_732.png  \n",
            " extracting: train/design_2020-05-12 05_21_44_380.png  \n",
            "  inflating: train/design_2020-05-12 05_22_11_407.png  \n",
            "  inflating: train/design_2020-05-12 05_22_15_743.png  \n",
            " extracting: train/design_2020-05-12 05_24_23_593.png  \n",
            " extracting: train/design_2020-05-12 05_25_58_928.png  \n",
            " extracting: train/design_2020-05-12 05_31_03_876.png  \n",
            "  inflating: train/design_2020-05-12 05_33_08_013.png  \n",
            " extracting: train/design_2020-05-12 05_36_58_306.png  \n",
            " extracting: train/design_2020-05-12 05_39_35_324.png  \n",
            " extracting: train/design_2020-05-12 05_42_31_467.png  \n",
            " extracting: train/design_2020-05-12 05_42_47_998.png  \n",
            " extracting: train/design_2020-05-12 05_44_51_206.png  \n",
            "  inflating: train/design_2020-05-12 05_44_52_157.png  \n",
            " extracting: train/design_2020-05-12 05_47_02_121.png  \n",
            " extracting: train/design_2020-05-12 05_47_36_473.png  \n",
            "  inflating: train/design_2020-05-12 05_47_48_373.png  \n",
            " extracting: train/design_2020-05-12 05_48_36_782.png  \n",
            " extracting: train/design_2020-05-12 05_49_21_225.png  \n",
            "  inflating: train/design_2020-05-12 05_50_49_092.png  \n",
            " extracting: train/design_2020-05-12 05_51_31_575.png  \n",
            " extracting: train/design_2020-05-12 05_51_33_693.png  \n",
            " extracting: train/design_2020-05-12 05_53_32_556.png  \n",
            " extracting: train/design_2020-05-12 05_53_48_525.png  \n",
            "  inflating: train/design_2020-05-12 05_55_22_389.png  \n",
            " extracting: train/design_2020-05-12 05_56_01_857.png  \n",
            "  inflating: train/design_2020-05-12 05_56_52_687.png  \n",
            " extracting: train/design_2020-05-12 05_58_01_987.png  \n",
            "  inflating: train/design_2020-05-12 05_59_52_284.png  \n",
            "  inflating: train/design_2020-05-12 06_00_19_607.png  \n",
            " extracting: train/design_2020-05-12 06_00_27_847.png  \n",
            " extracting: train/design_2020-05-12 06_00_38_714.png  \n",
            "  inflating: train/design_2020-05-12 06_02_49_164.png  \n",
            "  inflating: train/design_2020-05-12 06_04_16_213.png  \n",
            "  inflating: train/design_2020-05-12 06_29_28_327.png  \n",
            " extracting: train/design_2020-05-12 06_30_28_262.png  \n",
            " extracting: train/design_2020-05-12 06_32_41_313.png  \n",
            " extracting: train/design_2020-05-12 06_32_52_902.png  \n",
            " extracting: train/design_2020-05-12 06_34_21_934.png  \n",
            "  inflating: train/design_2020-05-12 06_35_30_304.png  \n",
            " extracting: train/design_2020-05-12 06_35_56_320.png  \n",
            "  inflating: train/design_2020-05-12 06_37_00_032.png  \n",
            " extracting: train/design_2020-05-12 06_37_12_574.png  \n",
            " extracting: train/design_2020-05-12 06_38_56_590.png  \n",
            " extracting: train/design_2020-05-12 06_39_23_704.png  \n",
            " extracting: train/design_2020-05-12 06_40_25_172.png  \n",
            "  inflating: train/design_2020-05-12 06_41_31_309.png  \n",
            "  inflating: train/design_2020-05-12 06_41_44_087.png  \n",
            " extracting: train/design_2020-05-12 06_43_24_492.png  \n",
            "  inflating: train/design_2020-05-12 06_44_51_324.png  \n",
            "  inflating: train/design_2020-05-12 06_44_55_911.png  \n",
            "  inflating: train/design_2020-05-12 06_45_37_504.png  \n",
            "  inflating: train/design_2020-05-12 06_47_26_929.png  \n",
            "  inflating: train/design_2020-05-12 06_47_54_835.png  \n",
            "  inflating: train/design_2020-05-12 06_49_35_863.png  \n",
            "  inflating: train/design_2020-05-12 06_50_24_816.png  \n",
            " extracting: train/design_2020-05-12 06_51_00_157.png  \n",
            "  inflating: train/design_2020-05-12 06_51_05_735.png  \n",
            " extracting: train/design_2020-05-12 06_51_47_182.png  \n",
            "  inflating: train/design_2020-05-12 06_51_53_485.png  \n",
            "  inflating: train/design_2020-05-12 06_52_36_169.png  \n",
            "  inflating: train/design_2020-05-12 06_53_18_600.png  \n",
            "  inflating: train/design_2020-05-12 06_54_12_684.png  \n",
            "  inflating: train/design_2020-05-12 06_55_36_660.png  \n",
            "  inflating: train/design_2020-05-12 06_57_53_395.png  \n",
            "  inflating: train/design_2020-05-12 06_57_58_833.png  \n",
            "  inflating: train/design_2020-05-12 07_02_20_274.png  \n",
            " extracting: train/design_2020-05-12 07_02_54_846.png  \n",
            "  inflating: train/design_2020-05-12 07_04_01_644.png  \n",
            "  inflating: train/design_2020-05-12 07_04_09_921.png  \n",
            " extracting: train/design_2020-05-12 07_06_31_073.png  \n",
            " extracting: train/design_2020-05-12 07_07_18_145.png  \n",
            "  inflating: train/design_2020-05-12 07_08_57_461.png  \n",
            " extracting: train/design_2020-05-12 07_09_40_418.png  \n",
            "  inflating: train/design_2020-05-12 07_10_02_711.png  \n",
            " extracting: train/design_2020-05-12 07_10_26_643.png  \n",
            "  inflating: train/design_2020-05-12 07_11_11_836.png  \n",
            "  inflating: train/design_2020-05-12 07_13_24_080.png  \n",
            " extracting: train/design_2020-05-12 07_14_53_371.png  \n",
            "  inflating: train/design_2020-05-12 07_16_03_533.png  \n",
            "  inflating: train/design_2020-05-12 07_16_20_341.png  \n",
            "  inflating: train/design_2020-05-12 07_17_09_044.png  \n",
            " extracting: train/design_2020-05-12 07_17_29_592.png  \n",
            "  inflating: train/design_2020-05-12 07_18_26_059.png  \n",
            "  inflating: train/design_2020-05-12 07_19_44_813.png  \n",
            "  inflating: train/design_2020-05-12 07_25_07_643.png  \n",
            " extracting: train/design_2020-05-12 07_25_58_633.png  \n",
            "  inflating: train/design_2020-05-12 07_28_03_818.png  \n",
            " extracting: train/design_2020-05-12 07_28_10_908.png  \n",
            "  inflating: train/design_2020-05-12 07_28_40_340.png  \n",
            "  inflating: train/design_2020-05-12 07_29_39_663.png  \n",
            "  inflating: train/design_2020-05-12 07_31_05_140.png  \n",
            " extracting: train/design_2020-05-12 07_32_11_908.png  \n",
            " extracting: train/design_2020-05-12 07_33_42_462.png  \n",
            "  inflating: train/design_2020-05-12 07_34_06_418.png  \n",
            "  inflating: train/design_2020-05-12 07_35_10_037.png  \n",
            "  inflating: train/design_2020-05-12 07_35_16_578.png  \n",
            "  inflating: train/design_2020-05-12 07_36_51_288.png  \n",
            " extracting: train/design_2020-05-12 07_37_39_390.png  \n",
            " extracting: train/design_2020-05-12 07_37_42_797.png  \n",
            "  inflating: train/design_2020-05-12 07_39_58_551.png  \n",
            "  inflating: train/design_2020-05-12 07_40_02_650.png  \n",
            " extracting: train/design_2020-05-12 07_40_14_016.png  \n",
            " extracting: train/design_2020-05-12 07_40_45_168.png  \n",
            " extracting: train/design_2020-05-12 07_41_31_455.png  \n",
            "  inflating: train/design_2020-05-12 07_41_36_525.png  \n",
            " extracting: train/design_2020-05-12 07_42_18_798.png  \n",
            "  inflating: train/design_2020-05-12 07_43_05_551.png  \n",
            "  inflating: train/design_2020-05-12 07_43_49_573.png  \n",
            " extracting: train/design_2020-05-12 07_45_20_546.png  \n",
            "  inflating: train/design_2020-05-12 07_45_21_742.png  \n",
            "  inflating: train/design_2020-05-12 07_46_06_553.png  \n",
            "  inflating: train/design_2020-05-12 07_47_36_662.png  \n",
            " extracting: train/design_2020-05-12 07_49_06_161.png  \n",
            "  inflating: train/design_2020-05-12 07_49_06_617.png  \n",
            "  inflating: train/design_2020-05-12 07_49_52_633.png  \n",
            "  inflating: train/design_2020-05-12 07_51_22_152.png  \n",
            " extracting: train/design_2020-05-12 07_51_49_504.png  \n",
            " extracting: train/design_2020-05-12 07_52_02_178.png  \n",
            "  inflating: train/design_2020-05-12 07_53_22_352.png  \n",
            "  inflating: train/design_2020-05-12 07_53_25_539.png  \n",
            " extracting: train/design_2020-05-12 07_54_52_230.png  \n",
            " extracting: train/design_2020-05-12 07_55_05_162.png  \n",
            " extracting: train/design_2020-05-12 07_56_38_964.png  \n",
            " extracting: train/design_2020-05-12 07_57_33_789.png  \n",
            " extracting: train/design_2020-05-12 08_00_33_191.png  \n",
            " extracting: train/design_2020-05-12 08_01_06_905.png  \n",
            " extracting: train/design_2020-05-12 08_02_03_487.png  \n",
            " extracting: train/design_2020-05-12 08_02_37_118.png  \n",
            "  inflating: train/design_2020-05-12 08_03_32_530.png  \n",
            " extracting: train/design_2020-05-12 08_04_05_189.png  \n",
            " extracting: train/design_2020-05-12 08_05_01_999.png  \n",
            "  inflating: train/design_2020-05-12 08_05_14_356.png  \n",
            "  inflating: train/design_2020-05-12 08_06_24_840.png  \n",
            " extracting: train/design_2020-05-12 08_06_33_175.png  \n",
            "  inflating: train/design_2020-05-12 08_07_12_190.png  \n",
            " extracting: train/design_2020-05-12 08_08_03_388.png  \n",
            "  inflating: train/design_2020-05-12 08_09_01_964.png  \n",
            "  inflating: train/design_2020-05-12 08_09_32_004.png  \n",
            "  inflating: train/design_2020-05-12 08_09_34_197.png  \n",
            "  inflating: train/design_2020-05-12 08_10_18_697.png  \n",
            " extracting: train/design_2020-05-12 08_11_06_790.png  \n",
            "  inflating: train/design_2020-05-12 08_11_07_373.png  \n",
            " extracting: train/design_2020-05-12 08_11_12_685.png  \n",
            "  inflating: train/design_2020-05-12 08_13_20_054.png  \n",
            "  inflating: train/design_2020-05-20 15_53_35_126.png  \n",
            "  inflating: train/design_2020-05-20 16_02_39_177.png  \n",
            "  inflating: train/design_2020-05-20 16_04_52_717.png  \n",
            "  inflating: train/design_2020-05-20 16_07_08_114.png  \n",
            "  inflating: train/design_2020-05-20 16_09_22_586.png  \n",
            "  inflating: train/design_2020-05-20 16_11_44_606.png  \n",
            "  inflating: train/design_2020-05-20 16_14_55_829.png  \n",
            " extracting: train/design_2020-05-20 16_17_31_711.png  \n",
            " extracting: train/design_2020-05-20 16_20_52_234.png  \n",
            "  inflating: train/design_2020-05-20 16_25_18_890.png  \n",
            "  inflating: train/design_2020-05-20 16_38_47_635.png  \n",
            " extracting: train/design_2020-05-20 16_43_15_428.png  \n",
            "  inflating: train/design_2020-05-20 16_45_34_052.png  \n",
            " extracting: train/design_2020-05-20 16_52_14_540.png  \n",
            " extracting: train/design_2020-05-20 16_56_41_582.png  \n",
            " extracting: train/design_2020-05-20 16_57_29_395.png  \n",
            " extracting: train/design_2020-05-20 17_00_04_102.png  \n",
            "  inflating: train/design_2020-05-20 17_00_51_079.png  \n",
            " extracting: train/design_2020-05-20 17_14_17_778.png  \n",
            " extracting: train/design_2020-05-20 17_20_09_030.png  \n",
            " extracting: train/design_2020-05-20 17_26_00_007.png  \n",
            "  inflating: train/design_2020-05-20 17_28_52_362.png  \n",
            "  inflating: train/design_2020-05-20 17_31_49_738.png  \n",
            "  inflating: train/design_2020-05-20 17_34_56_232.png  \n",
            "  inflating: train/design_2020-05-20 17_43_48_066.png  \n",
            "  inflating: train/design_2020-05-20 17_46_51_079.png  \n",
            " extracting: train/design_2020-05-20 18_07_22_834.png  \n",
            " extracting: train/design_2020-05-20 18_08_49_276.png  \n",
            " extracting: train/design_2020-05-20 18_09_36_067.png  \n",
            " extracting: train/design_2020-05-20 18_10_59_964.png  \n",
            " extracting: train/design_2020-05-20 18_11_46_463.png  \n",
            "  inflating: train/design_2020-05-20 18_13_18_538.png  \n",
            "  inflating: train/design_2020-05-20 18_14_47_772.png  \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kW_-HDXjzFWY"
      },
      "source": [
        "### Questions \n",
        "\n",
        "Before any GAN training, we will estimate the dispersion of the input data and ensure that the different designs remain consistent. \n",
        "\n",
        "* How many designs do we have? \n",
        "* Superimpose different designs on the same graph.  \n",
        "* Each design has a certain level of material (number of pixels of value 1). Draw the histogram of this level of material on all the designs. \n",
        "* What is your conclusion about the coherence of the designs?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1-XKxyTwIFKJ"
      },
      "source": [
        "### Images import"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IHFD5R6vIISc"
      },
      "source": [
        "import tensorflow as tf\n",
        "import os\n",
        "import time\n",
        "from IPython import display\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from create_dataset import load_data"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4E4M28p1IdYH"
      },
      "source": [
        "Data loading"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dsxJuJEcISzg"
      },
      "source": [
        "ROOT_PATH = \"./\"\n",
        "train_data_directory = os.path.join(ROOT_PATH, \"train/\")\n",
        "images_train = load_data(train_data_directory)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xij7EgHnJOn1"
      },
      "source": [
        "We directly create the dataloader from tensorflow to allow for batch loading for images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HCNLLZ6mJU5h"
      },
      "source": [
        "BATCH_SIZE = 32\n",
        "train_dataset = tf.data.Dataset.from_tensor_slices(images_train).shuffle(5000).batch(BATCH_SIZE)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "i2O8dYUn0tM9"
      },
      "source": [
        "### A few figures on the design"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fd8Hll0tzg4H"
      },
      "source": [
        "Evaluate the number of designs, size of images and number of channel"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IQZv9aHP1pH-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "382e6b2b-7f04-4d96-9587-17ee8c946919"
      },
      "source": [
        "images_train.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3885, 50, 50, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GvzmQW4nJw0c"
      },
      "source": [
        "On trace un design au hasard"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wfnow1sK1uf6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        },
        "outputId": "ea12d10c-c97f-41f0-ced1-eec85dc99354"
      },
      "source": [
        "plt.imshow(images_train[948, :, :, 0], cmap='gray')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f6560103940>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAPsAAAD6CAYAAABnLjEDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAMDUlEQVR4nO3dX6hl5XnH8e+vo9ZACGoahmFGqkVp8KJRHMRgL4qpMDUheiFFCWUuBuYmAUMDqWmhEOhFvInJRW+GKJmLEE1NQJFAsZMJoVDUMZpUHRInYsjIxEGiJLlJO8nTi7Msx+MZzz5n/1t7nu8HNmettfdxPRzPb979vOtd+6SqkHTh+6NlFyBpMQy71IRhl5ow7FIThl1qwrBLTUwV9iQHkvwkyakk982qKEmzl51eZ0+yC/gpcBtwGngGuKeqXnqP71nIRf0bb7xxEacZlWeffXZp5+748x6rV199lTfeeCObPXfRFP/dm4BTVfUKQJKHgTuA84Z9UU6cOLHsEhYu2fT/70J0/HmP1f79+8/73DRv4/cCv1i3f3o4JmmEphnZJ5LkMHB43ueR9N6mCftrwJXr9vcNx96hqo4AR2BxPXtHm829LPOtvcZnmrfxzwDXJrk6ySXA3cDjsylL0qzteGSvqnNJPgP8O7ALeKiqXpxZZZJmaqqevaq+C3x3RrVImiNX0ElNzH02fhk2m5jyQzrmZ+PP25/1ODmyS00YdqkJwy41cUH27B25gEZbcWSXmjDsUhOGXWqiTc/utWB158guNWHYpSYMu9SEYZeaaDNBd6FxEY22y5FdasKwS00YdqkJe/ZGNi4ksu/vxZFdasKwS00YdqkJwy410XaCzrvg1I0ju9SEYZeaMOxSE2179lWy08UvzkNoPUd2qQnDLjVh2KUm7NkH/uXX2XENwzg5sktNGHapCcMuNbFl2JM8lORskhfWHbsiyZNJXh6+Xj7fMiVNa5KR/evAgQ3H7gOOVdW1wLFhXzOS5B2PSVTVux7SeluGvap+APxqw+E7gKPD9lHgzhnXJWnGdnrpbXdVnRm2fwnsPt8LkxwGDu/wPJJmZOrr7FVVSc77nrGqjgBHAN7rdZLma6ez8a8n2QMwfD07u5LGYye98yqxz+9lp2F/HDg4bB8EHptNOZLmZZJLb98E/gv48ySnkxwCvgTcluRl4K+HfUkjtmXPXlX3nOepj824Fklz5I0w2zCvGzwuxPkAjY/LZaUmDLvUhGGXmjDsUhNO0E1hmZ9u4wIYbZcju9SEYZeaMOxSE/bsM7bVwhsX0GhZHNmlJgy71IRhl5q4IHv2Sa5BL6p3nsV5vKauWXBkl5ow7FIThl1qwrBLTRh2qQnDLjVh2KUmDLvUxAW5qGYSq3SDyiS1ufBGW3Fkl5ow7FIThl1qom3PfqEZ85yDxsGRXWrCsEtNGHapCcMuNWHYpSYMu9SEYZea2DLsSa5McjzJS0leTHLvcPyKJE8meXn4evn8y5W0U5OM7OeAz1XVdcDNwKeTXAfcBxyrqmuBY8P+yqqqdz2Wee5ZPKT1tgx7VZ2pqh8O278BTgJ7gTuAo8PLjgJ3zqtISdPbVs+e5CrgBuApYHdVnRme+iWwe6aVSZqpidfGJ3k/8G3gs1X16/Vrsauqkmz6vjHJYeDwtIVKms5EI3uSi1kL+jeq6jvD4deT7Bme3wOc3ex7q+pIVe2vqv2zKFjSzkwyGx/gQeBkVX153VOPAweH7YPAY7Mv78KzyIk0J/C03iRv428B/g747yTPD8f+EfgS8K0kh4CfA387nxIlzcKWYa+q/wTOd7P0x2ZbjqR5cQWd1ISfVPMeVukTaKWtOLJLTRh2qQnDLjVhz74Ns+jhN/ser3lrERzZpSYMu9SEYZeaMOxSE07QTWGzibVZTNqt+oTdqtd/oXJkl5ow7FIThl1qwp59xuax8MYeWLPgyC41YdilJgy71IQ9+5yN6eYZP3yjN0d2qQnDLjVh2KUmDLvUhBN0C+bNM1oWR3apCcMuNWHYpSbs2UdgXgtvpPUc2aUmDLvUhGGXmrBnH6FV++uxXuNfDY7sUhOGXWrCsEtNbBn2JJcmeTrJj5K8mOSLw/GrkzyV5FSSR5JcMv9yJe3UJCP774Bbq+ojwPXAgSQ3A/cDD1TVNcCbwKH5lSlpWluGvdb8dti9eHgUcCvw6HD8KHDnXCqUNBMT9exJdiV5HjgLPAn8DHirqs4NLzkN7D3P9x5OciLJiVkULGlnJgp7Vf2+qq4H9gE3AR+e9ARVdaSq9lfV/h3WKGkGtjUbX1VvAceBjwKXJXl7Uc4+4LUZ16ZBVb3rIW3XJLPxH0py2bD9PuA24CRrob9reNlB4LF5FSlpepMsl90DHE2yi7V/HL5VVU8keQl4OMm/AM8BD86xTklT2jLsVfVj4IZNjr/CWv8uaQW4gk5qwrveVtSy7oxzcnB1ObJLTRh2qQnDLjVh2KUmDLvUhGGXmjDsUhNeZ19RXlfXdjmyS00YdqkJwy41YdilJpygWwFj//NPWg2O7FIThl1qwrBLTdizj9Aye3QX0Vy4HNmlJgy71IRhl5qwZ2/M/rwXR3apCcMuNWHYpSYMu9SEE3Qj4KfOaBEc2aUmDLvUhGGXmrBnX7BF3uRij671HNmlJgy71MTEYU+yK8lzSZ4Y9q9O8lSSU0keSXLJ/MqUNK3tjOz3AifX7d8PPFBV1wBvAodmWdiFIsk7HvNSVe96SOtNFPYk+4CPA18b9gPcCjw6vOQocOc8CpQ0G5OO7F8BPg/8Ydj/IPBWVZ0b9k8Dezf7xiSHk5xIcmKqSiVNZcuwJ/kEcLaqnt3JCarqSFXtr6r9O/l+SbMxyXX2W4BPJrkduBT4APBV4LIkFw2j+z7gtfmVKWlaW47sVfWFqtpXVVcBdwPfq6pPAceBu4aXHQQem1uV27RxUmyRC1mWNSEnbWWa6+z/APx9klOs9fAPzqYkSfOwreWyVfV94PvD9ivATbMvSdI8uIJOaqLNjTAb++dZ9Ll+6IRWiSO71IRhl5ow7FITbXr2jXbSw9uja5U5sktNGHapCcMuNWHYpSbaTtBttMibZTZyQk6L4MguNWHYpSYMu9TEyvXsm/W3y+y3pVXhyC41YdilJgy71IRhl5pYuQm6VecCGi2LI7vUhGGXmjDsUhMr17Ov2gIae3SNhSO71IRhl5ow7FITK9ezj509usbKkV1qwrBLTRh2qQnDLjXhBN0UnIzTKnFkl5ow7FIThl1qYtE9+xvAz4E/GbZXwXlrHelNORfEz3akVqHePz3fE1nGJFOSE1W1f+En3oFVqhVWq95VqhVWr96NfBsvNWHYpSaWFfYjSzrvTqxSrbBa9a5SrbB69b7DUnp2SYvn23ipiYWGPcmBJD9JcirJfYs89ySSPJTkbJIX1h27IsmTSV4evl6+zBrfluTKJMeTvJTkxST3DsfHWu+lSZ5O8qOh3i8Ox69O8tTwO/FIkkuWXevbkuxK8lySJ4b90dY6iYWFPcku4F+BvwGuA+5Jct2izj+hrwMHNhy7DzhWVdcCx4b9MTgHfK6qrgNuBj49/DzHWu/vgFur6iPA9cCBJDcD9wMPVNU1wJvAoSXWuNG9wMl1+2OudUuLHNlvAk5V1StV9T/Aw8AdCzz/lqrqB8CvNhy+Azg6bB8F7lxoUedRVWeq6ofD9m9Y+6Xcy3jrrar67bB78fAo4Fbg0eH4aOpNsg/4OPC1YT+MtNZJLTLse4FfrNs/PRwbu91VdWbY/iWwe5nFbCbJVcANwFOMuN7hbfHzwFngSeBnwFtVdW54yZh+J74CfB74w7D/QcZb60ScoNuGWrt0MarLF0neD3wb+GxV/Xr9c2Ort6p+X1XXA/tYe6f34SWXtKkknwDOVtWzy65llha5Nv414Mp1+/uGY2P3epI9VXUmyR7WRqVRSHIxa0H/RlV9Zzg82nrfVlVvJTkOfBS4LMlFw4g5lt+JW4BPJrkduBT4APBVxlnrxBY5sj8DXDvMaF4C3A08vsDz79TjwMFh+yDw2BJr+X9DD/kgcLKqvrzuqbHW+6Eklw3b7wNuY22e4Thw1/CyUdRbVV+oqn1VdRVrv6ffq6pPMcJat6WqFvYAbgd+ylqv9k+LPPeE9X0TOAP8L2s92SHWerVjwMvAfwBXLLvOoda/ZO0t+o+B54fH7SOu9y+A54Z6XwD+eTj+Z8DTwCng34A/XnatG+r+K+CJVah1q4cr6KQmnKCTmjDsUhOGXWrCsEtNGHapCcMuNWHYpSYMu9TE/wHUs0QgAZIPuAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YpJfvyWFJ3YB"
      },
      "source": [
        "### Some plots of design\n",
        "\n",
        "We use here `subplot`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wLo20IQoJvIc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 747
        },
        "outputId": "ad509781-b3d6-4282-fc5a-b1d8e12f220a"
      },
      "source": [
        "def gen_index(nmax):\n",
        "  return np.random.randint(1,nmax)\n",
        "\n",
        "plt.figure(figsize=[15,15])  # create a plot figure\n",
        "nside = 6\n",
        "# create the first of two panels and set current axis\n",
        "for i in range(1,nside+1):\n",
        "  for j in range(1,nside+1):\n",
        "      plt.subplot(nside+1, nside+1, (nside+1)*(i-1)+j) # (rows, columns, panel number)\n",
        "      plt.imshow(images_train[gen_index(3885), :, :, 0], cmap='gray')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1080 with 36 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ff2sUiumKGMJ"
      },
      "source": [
        "### Matter rate dispersion evaluation \n",
        "\n",
        "We start by creating a function that computes the amount of matter"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IBCWC7XYKBCu"
      },
      "source": [
        "def MatterRate(image_index=1):\n",
        "  return ##\n",
        "\n",
        "## ensuite on l'applique sur toute la base"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sAO6dr0-KZqP"
      },
      "source": [
        "On utilise ensuite la fonction `hist`."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wwOiKdA7KRX1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "outputId": "78b9c502-eb2f-4a9c-bb93-7b0c5363c763"
      },
      "source": [
        "plt.hist(Rates, range = (0., 1.2*np.max(Rates)), bins = 50, color = 'yellow',\n",
        "            edgecolor = 'red')\n",
        "plt.xlabel('Matter rate')\n",
        "plt.ylabel('Occurrences')\n",
        "plt.title('Dispersion of the matter rate ')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Dispersion du taux de matière')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mZi1TNinsHxHTgRcAIuIpYLOGRWXWKvVuUjMbJsr2KbwoaQTp9h1Jo3FHsw1F9W5Sc16wYaLsmcL5wE+AXSSdDdwOfL1hUZmZWUuUOlOIiB9JmgtMJfvNdFREPNTQyMysfzandpPXbmNg8WNND8cGl7LDXBwALI+ICyPiAmC5pP17WWeipNskLZA0X9KnUvlOkm6R9Kf0746pXJLOl7RQ0v2S9tnYnTMbltaRNYFVv5asamVUNkiUbT66CFhbmF+bynqyHjg9IiYDBwDTJU0GPg/MiYhJwJw0D3AYMCm9ppXYvpmZDbDSw1xERN79FhEv0UvTU0SsjIh70vQa4CFgPHAkMCtVmwUclaaPBC6LzB3ADpLGld4TMzPbaGWTwiJJp0oamV6fAhaVfRNJHcDewJ3AmIhYmRY9BoxJ0+OBpYXVlqUyMzNrkrJJ4WPAW4HlZAfr/cmaeHolaRvgeuC0NNJqLp191Bulvt72pknqktTV3d3dl1XNzKwXZa8+Wg0c29eNSxpJlhB+FBE/TsWrJI2LiJWpeWh1Kl8OTCysPiGVVccyA5gB0NnZ2aeEYpbrGOuOV7MaSiWFdLPaKUBHcZ2I+HAP6wi4BHgoIr5dWDQbOIHseQwnADcUyj8p6SqyM5FnCs1MZgPLN6mZ1VT2juYbgN8BtwIbSq7zNrKH8TwgaV4q+wJZMrhG0snAEuCYtOwmsqG5FwLP41FYzcyarmxS2CoizujLhiPidur/7ppao34A0/vyHmZmNrDKdjTfKOnwhkZiZmYtVzYpfIosMbwg6VlJayQ92+taZmY2qJS9+mjbRgdiZmatV3bsI0k6XtKX0/xESfs1NjQzM2u2vj557V/S/Fr85DUzsyGn7NVH+0fEPpLuhezJa5L85DUzsyGm7JmCn7xmZjYM+MlrZmaW67X5SNImwJ+Bz+Enr5mZDWm9JoWIeEnShRGxN/BwE2IyM7MWKdt8NEfSe9Mgd2ZmNkSVTQofBa4F1vmOZjOzoatsn8KhEfH7JsRjZmYt1OuZQnoe8wVNiMXMzFrMfQpmZpZzn4LZcLE5IL361TG21ZFZG/EoqWbDxTrqPILUz6q2l5V9RvPba5VHxG8HNhwzM2ulsgPifbYwvQWwHzAXOHjAIzIzs5Yp23z07uK8pInAdxoSkZmZtUzZjuZqy4A3DGQgZg3RMbZ256qZ1VS2T+G7vNxFtQkwBbinUUGZDZglq+p0rjY9ErNBoeyZQhdZH8Jc4A/AGRFxfE8rSLpU0mpJDxbKzpK0XNK89Dq8sOxMSQslPSLpnf3YFzMz20hlO5qvA16IiA0AkkZI2ioinu9hnZlkd0JfVlV+XkScWyyQNBk4FtgL2BW4VdIelfczM7PmKH1HM7BlYX5L4NaeVkiXqz5ZcvtHAldFxLqI+DOwkOwKJzMza6KySWGLiFhbmUnTW/XzPT8p6f7UvLRjKhsPLC3UWZbKXkXSNEldkrq6u7v7GYKZmdVSNik8J2mfyoyktwB/6cf7XQS8lqyjeiXwrb5uICJmRERnRHSOHj26HyGYmVk9ZfsUTgOulbSC7LqNscD7+/pmEZHfTy/pYuDGNLscmFioOiGVmZlZE5W9ee1uSXsCr09Fj0TEi319M0njImJlmj0aqFyZNBu4QtK3yTqaJwF39XX7Zma2ccrepzAd+FFEPJjmd5R0XER8r4d1rgQOAkZJWgZ8BThI0hSyK8cXk42+SkTMl3QNsABYD0z3lUdmZs2niFp39lRVkuZFxJSqsnsjYu+GRVZCZ2dndHV1tTIEa3dS/ZvXBqJ8ILfV0vLejwM2dEiaGxGdtZaV7WgeUXzAjqQRwGYDEZyZmbWPsh3NNwNXS/p+mv8Y8IvGhGRmZq1SNil8GTgF+ESavxm4pCERmZlZy/SYFCRtCnwdOImXby77G2ARWdOTO4PNzIaQ3voUvgnsBLwmIvaJiH2A3YHtgXN7XNPMzAad3pLCEcApEbGmUpCmPw4cXnctMzMblHpLChE1rllN9xD4GjazoWBzaj+IqGNsqyOzFugtKSyQ9KHqQknHAw83JiQza6p1ZD/xql9LVvW0lg1RvV19NB34saQPkz1gB6CTbOjsoxsZmJmZNV+PSSEilgP7SzqY7AE4ADdFxJyGR2ZmZk1XdkC8XwG/anAsZmbWYmWHuTAzs2HAScHMzHJOCmZmlnNSsKGhY2zta+3NrE/KDohn1t6WrKr/rAAzK81nCmZmlnNSMDOznJOCmZnlnBTMzCznpGBmZjknBTMzyzUsKUi6VNJqSQ8WynaSdIukP6V/d0zlknS+pIWS7pe0T6PiMjOz+hp5pjATOLSq7PPAnIiYBMxJ8wCHAZPSaxpwUQPjMjOzOhqWFCLit8CTVcVHArPS9CzgqEL5ZZG5A9hB0rhGxWZmZrU1u09hTESsTNOPAWPS9HhgaaHeslT2KpKmSeqS1NXd3d24SM3MhqGWdTSnZz/3+TnPETEjIjojonP06NENiMzMbPhqdlJYVWkWSv+uTuXLgYmFehNSmZmZNVGzk8Js4IQ0fQJwQ6H8Q+kqpAOAZwrNTGZm1iQNGyVV0pXAQcAoScuArwDfAK6RdDKwBDgmVb8JOBxYCDwPnNSouMzMrL6GJYWIOK7Ooqk16gYwvVGxmJlZOb6j2czMck4KZmaWc1IwM7Ock4KZmeWcFKy1OsaC9OpXx9hWR2Y2LDkpWGstWZXd1179WrKqdv16ScTMBkTDLkk1a4hKEqnmvGA2IHymYM3hX/hmg4LPFKw5/AvfbFDwmYKZmeWcFMzMLOekYGZmOScFMzPLOSmYmVnOScHMatsc320+DPmSVGtPlQOStc466lxGXOducxsSnBSsPdU9IDU7ELPhxc1HZmaWc1IwM7Ock4KZ9Y07oIc09ymYWd+4A3pIa0lSkLQYWANsANZHRKeknYCrgQ5gMXBMRDzVivjMzIarVjYfvSMipkREZ5r/PDAnIiYBc9K8mZk1UTv1KRwJzErTs4CjWhiLmdmw1KqkEMAvJc2VNC2VjYmIlWn6MWBMrRUlTZPUJamru7u7GbGamQ0brepo/ruIWC5pF+AWSQ8XF0ZESKrVlUVEzABmAHR2dtasY2Zm/dOSM4WIWJ7+XQ38BNgPWCVpHED6d3UrYjMzG86anhQkbS1p28o0cAjwIDAbOCFVOwG4odmxmZkNd61oPhoD/ETZYGebAldExC8k3Q1cI+lkYAlwTAtiMzMb1pqeFCJiEfDmGuVPAFObHY8NsI6xsMQ3MZkNVr6j2QbWklUe3dRsEGun+xTMzKzFnBTMzCznpGBmZjknBTMzyzkpmJlZzknBzMxyTgpmZpZzUrD6OsbWfuyiH71oNmQ5KVh9lRvRar1817JVq/fsZv+IGFScFKz+GYFZX1Se3Vzr9dgqJ4tBwsNcWP+Gpqj8KjQro5IwqslnnO3GScH6p+5/8mYHYmYDyc1HZmaWc1IwM7Ock4KZmeWcFMzMLOekMJz40lMbLOr9rfoS1obz1UfDiZ+KZu2mp0ubfQlrSzgpmFnr+NLmtuPmIzMzyzkpDEXuOzCzfmq7pCDpUEmPSFoo6fOtjmdQqjeQnZlZL9oqKUgaAVwIHAZMBo6TNLm1UZmZDR9tlRSA/YCFEbEoIv4KXAUc2eKYmqdes8/WI/pWbjZU1Rueu96lqr60tc/a7eqj8cDSwvwyYP9iBUnTgGlpdq2kR/r5XqOAx/u5bnM9/1K98vr7UC83DFT5wGwri7/RsTa2fLDvQ3PiH+htvdIolqx6vE8/iJasaqcfUK04Fu1Wb0G7JYVeRcQMYMbGbkdSV0R0DkBILTPY92Gwxw+Dfx8Ge/ww+Peh3eJvt+aj5cDEwvyEVGZmZk3QbknhbmCSpN0lbQYcC8xucUxmZsNGWzUfRcR6SZ8EbgZGAJdGxPwGvd1GN0G1gcG+D4M9fhj8+zDY44fBvw9tFb8ifAG7mZll2q35yMzMWshJwczMckM+KfQ2bIakzSVdnZbfKamj+VH2rMQ+vF3SPZLWS3pfK2LsSYn4Py1pgaT7Jc2RVPca6lYoEf/HJD0gaZ6k29vxLvyyw8dIeq+kkNQ2l0hCqe/gREnd6TuYJ+kjrYizJ2W+A0nHpP8L8yVd0ewYAYiIIfsi66x+FHgNsBlwHzC5qs4ngP9K08cCV7c67n7sQwfwJuAy4H2tjrkf8b8D2CpNf7ydvoOS8W9XmH4P8ItWx93XfUj1tgV+C9wBdLY67j5+BycCF7Q61o3ch0nAvcCOaX6XVsQ61M8UygybcSQwK01fB0yV2udWR0rsQ0Qsjoj7gTq3PrdUmfhvi4jn0+wdZPentIsy8T9bmN2a9ht+sOzwMf8POAd4oZnBlTAUhr8psw+nABdGxFMAEbG6yTECQ7/5qNawGePr1YmI9cAzwM5Nia6cMvvQzvoa/8nAzxsaUd+Uil/SdEmPAv8fOLVJsZXV6z5I2geYGBE/a2ZgJZX9G3pvaoK8TtLEGstbqcw+7AHsIen3ku6QdGjToisY6knBBhFJxwOdwDdbHUtfRcSFEfFa4AzgS62Opy8kbQJ8Gzi91bFshJ8CHRHxJuAWXj77H0w2JWtCOgg4DrhY0g7NDmKoJ4Uyw2bkdSRtCmwPPNGU6MoZ7EN/lIpf0j8CXwTeExHrmhRbGX39/K8CjmpoRH3X2z5sC7wR+LWkxcABwOw26mzu9TuIiCcKfzf/DbylSbGVVebvaBkwOyJejIg/A38kSxLN1eoOmAZ37mwKLAJ25+XOnb2q6kznlR3N17Q67r7uQ6HuTNqvo7nMd7A3WSfcpFbH28/4JxWm3w10tTru/v4Npfq/pr06mst8B+MK00cDd7Q67n7sw6HArDQ9iqy5aeemx9rqD6sJX8bhZBn3UeCLqezfyX6RAmwBXAssBO4CXtPqmPuxD/uS/cp4juwsZ36rY+5j/LcCq4B56TW71TH3Mf7/BOan2G/r6YDbrvtQVbetkkLJ7+A/0ndwX/oO9mx1zP3YB5E14y0AHgCObUWcHubCzMxyQ71PwczM+sBJwczMck4KZmaWc1IwM7Ock4LZICVpD0mDbbgHa3NOCjYoSdq5MCLmY5KWF+Y3a+D7zmzmSLSSTpO0VWH+pspdrhHxR2BvSUc3Kx4b+nxJqg16ks4C1kbEuU14r5nAjRFxXaPfK73fYrJ7Bh7v5/ojImLDwEZlQ5nPFGzIkHSKpLsl3Sfp+sov7Opf95LWpn+PTs9vkKRxkv4oaWzVNiXpgjQO/q3ALoVlb5H0G0lzJd0saVyNmGZKuigNcLZI0kGSLpX0UEowlXoXSepK4+h/NZWdCuwK3CbptlS2WNKoNH28pLvS/n5f0ojK/kn6lqT7gAML9eYV65nV4qRgQ8mPI2LfiHgz8BDZiKt1RcRPgJVkQ51cDHwlIh6rqnY08HpgMvAh4K0AkkYC3yUbVuQtwKXA2XXeakfgQODfgNnAecBewN9KmpLqfDEiOsmei/EPkt4UEecDK4B3RMQ7ihuU9AayYVnelvYX4Pj079bAnan8CeD9qd4UYAPwgZ4+FxveNm11AGYD6I2SvgbsAGwD3FxinX8FHiQbK+fKGsvfDlyZmmBWSPpVKn892SByt6THb4wgSzC1/DQiQtIDwKqIeABA0nyyByTNA46RNI3s/+Q4siR0fw9xTwXeUHj/bXh5aOYNwPWFem8B7k71tgRaMk6/DQ5OCjaUzASOioj7JJ1INgQxwHrSWXEaJrrYET2B7OFEYyRtEhFlH1QksjGmDixRtzJ650uF6cr8ppJ2Bz4D7BsRT6VmpS1KvP+1EVHrsY4vFPoRRDbI2pkl4jRz85ENKdsCK1PTTrGJZDEvD6X8HmAk5EOlX0o2dv1DwKdrbPO3wPsljUh9BpVmnEeA0ZIOTNsaKWmvfsa9Hdlghs9IGgMcVli2Ju1XtTlkD5XZJb3/zqr9fPE5wPsK9XZSmz0D29qLzxRsKPkycCfQnf6tHEwvBm5IHa+/IDsAA3wB+F1E3J6W3S3pZxHxUGGbPwEOJhu58n+BPwBExF9T5/X5krYn+7/0HbKROvskndncCzxM1gT0+8LiGcAvJK0o9itExAJJXwJ+mc5+XiTrG1lcte169Zb0NU4bHnxJqpmZ5ZiE/hcAAAAsSURBVNx8ZGZmOScFMzPLOSmYmVnOScHMzHJOCmZmlnNSMDOznJOCmZnl/g8J+X6GRthYQgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZwRmv40RKnK1"
      },
      "source": [
        "### Conclusion on data consistency\n",
        "\n",
        "The base includes $3885$ mechanical designs. These designs correspond to slender structures and all include a number of fairly thin bars. Nevertheless, some designs have more material than others and the designs do not have any orientation of their own (unlike for example the MNIST database where the numbers have a given orientation). Although we observe a fairly simple distribution of material, we can expect a great diversity of designs and thus a relative complexity of the generation task."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sYTBFuCRLuEc"
      },
      "source": [
        "## Question 3 : first architecture for a DCGAN\n",
        "\n",
        "In this part, we follow the Tensorflow tutorial on the creation of a simple DCGAN architecture: [tutorial](https://www.tensorflow.org/tutorials/generative/dcgan)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EwA1eaY6cej1"
      },
      "source": [
        "#### Questions \n",
        "\n",
        "After reading and importing the following functions\n",
        "- Describe the generator and discriminator architectures\n",
        "- Explain the calculation of the loss function\n",
        "- Modify the original code to take into account 50 x 50 size design images by calling `tf.images.resize` on each batch.\n",
        "- Run a first training"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kHTo9mJdKhBK"
      },
      "source": [
        "import glob\n",
        "import imageio\n",
        "import PIL\n",
        "from tensorflow.keras import layers"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5AlRcU8gLIrq"
      },
      "source": [
        "images_train = images_train.reshape(images_train.shape[0], 50, 50, 1).astype('float32')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3RTqqGjCLbdA"
      },
      "source": [
        "BUFFER_SIZE = 60000\n",
        "BATCH_SIZE = 256\n",
        "train_dataset = tf.data.Dataset.from_tensor_slices(images_train).shuffle(BUFFER_SIZE).batch(BATCH_SIZE)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NFBU86D9MYgB"
      },
      "source": [
        "We start by creating a function to build the generator model. Attention the only difference with the Google tutorial is the input dimension of the images that we will modify when we apply the training step of the DCGAN."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cZ-FNu31MHu9"
      },
      "source": [
        "def make_generator_model():\n",
        "    model = tf.keras.Sequential()\n",
        "    model.add(layers.Dense(7*7*256, use_bias=False, input_shape=(100,)))\n",
        "    model.add(layers.BatchNormalization())\n",
        "    model.add(layers.LeakyReLU())\n",
        "\n",
        "    model.add(layers.Reshape((7, 7, 256)))\n",
        "    assert model.output_shape == (None, 7, 7, 256) # Note: None is the batch size\n",
        "\n",
        "    model.add(layers.Conv2DTranspose(128, (5, 5), strides=(1, 1), padding='same', use_bias=False))\n",
        "    assert model.output_shape == (None, 7, 7, 128)\n",
        "    model.add(layers.BatchNormalization())\n",
        "    model.add(layers.LeakyReLU())\n",
        "\n",
        "    model.add(layers.Conv2DTranspose(64, (5, 5), strides=(2, 2), padding='same', use_bias=False))\n",
        "    assert model.output_shape == (None, 14, 14, 64)\n",
        "    model.add(layers.BatchNormalization())\n",
        "    model.add(layers.LeakyReLU())\n",
        "\n",
        "    model.add(layers.Conv2DTranspose(1, (5, 5), strides=(2, 2), padding='same', use_bias=False, activation='tanh'))\n",
        "    assert model.output_shape == (None, 28, 28, 1)\n",
        "\n",
        "    return model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mONssa93MkNF"
      },
      "source": [
        "We build a similar function for the discriminator"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DldP163SMWtp"
      },
      "source": [
        "def make_discriminator_model():\n",
        "    model = tf.keras.Sequential()\n",
        "    model.add(layers.Conv2D(64, (5, 5), strides=(2, 2), padding='same',\n",
        "                                     input_shape=[28, 28, 1]))\n",
        "    model.add(layers.LeakyReLU())\n",
        "    model.add(layers.Dropout(0.3))\n",
        "\n",
        "    model.add(layers.Conv2D(128, (5, 5), strides=(2, 2), padding='same'))\n",
        "    model.add(layers.LeakyReLU())\n",
        "    model.add(layers.Dropout(0.3))\n",
        "\n",
        "    model.add(layers.Flatten())\n",
        "    model.add(layers.Dense(1))\n",
        "\n",
        "    return model"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QHUfMLQzcSC3"
      },
      "source": [
        "#### Describe the architecture with a scheme"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ilnFfJDCMzGc"
      },
      "source": [
        "cross_entropy = tf.keras.losses.BinaryCrossentropy(from_logits=True)\n",
        "def discriminator_loss(real_output, fake_output):\n",
        "    real_loss = cross_entropy(tf.ones_like(real_output), real_output)\n",
        "    fake_loss = cross_entropy(tf.zeros_like(fake_output), fake_output)\n",
        "    total_loss = real_loss + fake_loss\n",
        "    return total_loss\n",
        "\n",
        "def generator_loss(fake_output):\n",
        "    return cross_entropy(tf.ones_like(fake_output), fake_output)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "juAIAwdGcYd6"
      },
      "source": [
        "#### Connect with the loss function described before"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BX4Rzbk1NtDs"
      },
      "source": [
        "Create optimizers"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Ax7s4vQNrzM"
      },
      "source": [
        "generator_optimizer = tf.keras.optimizers.Adam(1e-4)\n",
        "discriminator_optimizer = tf.keras.optimizers.Adam(1e-4)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fmB--aS-OBkX"
      },
      "source": [
        "generator = make_generator_model()\n",
        "discriminator = make_discriminator_model()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8Wc7QcgANw12"
      },
      "source": [
        "checkpoint_dir = './training_checkpoints'\n",
        "checkpoint_prefix = os.path.join(checkpoint_dir, \"ckpt\")\n",
        "checkpoint = tf.train.Checkpoint(generator_optimizer=generator_optimizer,\n",
        "                                 discriminator_optimizer=discriminator_optimizer,\n",
        "                                 generator=generator,\n",
        "                                 discriminator=discriminator)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j0d4p2iEN1-C"
      },
      "source": [
        "EPOCHS = 50\n",
        "noise_dim = 100\n",
        "num_examples_to_generate = 16\n",
        "\n",
        "seed = tf.random.normal([num_examples_to_generate, noise_dim])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JNTMii_MS5iI"
      },
      "source": [
        "@tf.function\n",
        "def train_step(images):\n",
        "    noise = tf.random.normal([BATCH_SIZE, noise_dim])\n",
        "\n",
        "    with tf.GradientTape() as gen_tape, tf.GradientTape() as disc_tape:\n",
        "      generated_images = generator(noise, training=True)\n",
        "\n",
        "      real_output = discriminator(images, training=True)\n",
        "      fake_output = discriminator(generated_images, training=True)\n",
        "\n",
        "      gen_loss = generator_loss(fake_output)\n",
        "      disc_loss = discriminator_loss(real_output, fake_output)\n",
        "\n",
        "    gradients_of_generator = gen_tape.gradient(gen_loss, generator.trainable_variables)\n",
        "    gradients_of_discriminator = disc_tape.gradient(disc_loss, discriminator.trainable_variables)\n",
        "\n",
        "    generator_optimizer.apply_gradients(zip(gradients_of_generator, generator.trainable_variables))\n",
        "    discriminator_optimizer.apply_gradients(zip(gradients_of_discriminator, discriminator.trainable_variables))\n",
        "    return gen_loss, disc_loss"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e8tY8E8tdHOE"
      },
      "source": [
        "#### Change the original code to take into account images size '50' x '50' to call `tf.images.resize` over each batch\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fzo-QHggTBVE"
      },
      "source": [
        "\n",
        "def train(dataset, epochs):\n",
        "  gen, disc = [], []  \n",
        "  for epoch in range(epochs):\n",
        "    start = time.time()\n",
        "\n",
        "    for image_batch in dataset:\n",
        "      ## ligne à modifier avec tf.images.resize\n",
        "      print ('epoch:{} - gen_loss:{} - disc_loss:{}'.format(epoch + 1, gen_loss, disc_loss))\n",
        "      gen.append(gen_loss)\n",
        "      disc.append(disc_loss)\n",
        "\n",
        "    # Produce images for the GIF as we go\n",
        "    display.clear_output(wait=True)\n",
        "    generate_and_save_images(generator,\n",
        "                             epoch + 1,\n",
        "                             seed)\n",
        "\n",
        "    # Save the model every 15 epochs\n",
        "    if (epoch + 1) % 15 == 0:\n",
        "      checkpoint.save(file_prefix = checkpoint_prefix)\n",
        "\n",
        "    print ('Time for epoch {} is {} sec'.format(epoch + 1, time.time()-start))\n",
        "\n",
        "  # Generate after the final epoch\n",
        "  display.clear_output(wait=True)\n",
        "  generate_and_save_images(generator, epochs, seed)\n",
        "  return gen, disc"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mGLCQW7vTT06"
      },
      "source": [
        "def generate_and_save_images(model, epoch, test_input):\n",
        "  # Notice `training` is set to False.\n",
        "  # This is so all layers run in inference mode (batchnorm).\n",
        "  predictions = model(test_input, training=False)\n",
        "\n",
        "  fig = plt.figure(figsize=(4,4))\n",
        "\n",
        "  for i in range(predictions.shape[0]):\n",
        "      plt.subplot(4, 4, i+1)\n",
        "      plt.imshow(predictions[i, :, :, 0] * 127.5 + 127.5, cmap='gray')\n",
        "      plt.axis('off')\n",
        "\n",
        "  plt.savefig('image_at_epoch_{:04d}.png'.format(epoch))\n",
        "  plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Yrzw_ChrdKLa"
      },
      "source": [
        "#### Start a first training GAN"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fKFwMihBTyJ1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "outputId": "1771fa44-ba29-4da3-e913-cf5c69e6f6cc"
      },
      "source": [
        "train(train_dataset, 50*EPOCHS)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 288x288 with 16 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Time for epoch 1800 is 1.3682398796081543 sec\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XPLq6XzckLTG"
      },
      "source": [
        "## Q4 : Initialisation of weights and latent dimension\n",
        "\n",
        "\n",
        "The first results are rather encouraging. We will try to improve them by complicating the architectures, in particular by using so-called residual layers. To help us, all the functions are already given and use only tensorflow and not Keras to illustrate tensorflow in its entirety.\n",
        "\n",
        "\n",
        "- What do the functions `initialize_weights_generator` and `initialize_weights_discriminator` do and what is the role of the variable `nf` ?\n",
        "- What are the architectures used?\n",
        "- Initialize architectures with `nf=32`. \n",
        "- View an example of generation \n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SJ89YqL0nbUw"
      },
      "source": [
        "### `initialize_weights` ?\n",
        "\n",
        "These two functions allow to initialize all the internal parameters of the two architectures and to modify the first convolutional layer (residual). In particular, `nf` designates the number of filters (or outputs) of the first convolutional layer."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m2tTMHV9n6iH"
      },
      "source": [
        "### Details on the architectures \n",
        "\n",
        "Both cases (generator and discriminator) are convolutional layers. Nevertheless, the generator has for output an image starting from an input of low dimension (latent dimension). So, contrary to a classical CNN, the convolutional layers increase the size of the outputs from an input of size 100 to an output of size 50x50. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9H_dI478p4DJ"
      },
      "source": [
        "### Architectures initialisation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8rQHbxsLhjac"
      },
      "source": [
        "weights_d, biases_d = initialize_discriminator_weights(nf = 32)\n",
        "weights_g, biases_g = initialize_generator_weights(nf = 32)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BxsPPNz5htya"
      },
      "source": [
        "noise = tf.random.normal([1,100])\n",
        "generated_image = generator(noise, weights_g, biases_g )"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bO3ast8It4CI"
      },
      "source": [
        "plt.imshow(generated_image[0, :, :, 0], cmap='gray')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F2aLGM1XwjpY"
      },
      "source": [
        "## Q5 : GAN Training\n",
        "\n",
        "- We start by initializing the optimizers with the values of the learning rates of the two architectures and we create a tensorflow optimizer with `tf.optimizers`.\n",
        "- Examine the `train_step` function, what does it do? and what does the `if epoch...` line do?\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CGXS-2F2yRat"
      },
      "source": [
        "#### Initialisation of optimizers and learning rates"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IOC9LnEvx9Bf"
      },
      "source": [
        "learning_rate_g = 2e-3\n",
        "learning_rate_d = 1e-2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4EVpiIyAt4pw"
      },
      "source": [
        "generator_optimizer = tf.optimizers.Adam(learning_rate_g) #tf.optimizers.RMSprop(learning_rate_g)\n",
        "discriminator_optimizer =  tf.optimizers.Adam(learning_rate_d) #tf.optimizers.RMSprop(learning_rate_d)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fLnp-IkBzGxX"
      },
      "source": [
        "#### Function `train_step` for GAN training\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RMNS6JUEx2LS"
      },
      "source": [
        "def train_step(images, epoch):\n",
        "    batch_size = images.shape[0]\n",
        "    noise = tf.random.normal([batch_size, 100])\n",
        "\n",
        "    with tf.GradientTape() as gen_tape, tf.GradientTape() as disc_tape:\n",
        "        generated_images = generator(noise, weights_g, biases_g)\n",
        "\n",
        "        real_output = discriminator(images, weights_d, biases_d)\n",
        "        fake_output = discriminator(generated_images, weights_d, biases_d)\n",
        "        reconstruction_error = tf.reduce_mean( tf.square(images- generated_images))\n",
        "        gen_loss = reconstruction_error# generator_loss(fake_output) + \n",
        "        #gen_loss = -tf.reduce_mean(fake_output) # WGAN\n",
        "        disc_loss = discriminator_loss(real_output, fake_output)\n",
        "        # disc_loss = tf.reduce_mean(real_output)-tf.reduce_mean(fake_output) #WGAN\n",
        "        \n",
        "        generator_trainable_variables = list(weights_g.values()) + list(biases_g.values())\n",
        "        gradients_of_generator = gen_tape.gradient(gen_loss, generator_trainable_variables)\n",
        "        discriminator_trainable_variables = list(weights_d.values()) + list(biases_d.values())\n",
        "        if epoch<=5  or epoch%5==0:\n",
        "            gradients_of_discriminator = disc_tape.gradient(disc_loss, discriminator_trainable_variables)\n",
        "            discriminator_optimizer.apply_gradients(zip(gradients_of_discriminator, discriminator_trainable_variables))\n",
        "        generator_optimizer.apply_gradients(zip(gradients_of_generator, generator_trainable_variables))\n",
        "        # for w in weights_g.keys():\n",
        "        #     weights_g[w].assign(tf.clip_by_value(weights_g[w], clip_value_min=-0.1, clip_value_max=0.1))\n",
        "        \n",
        "    return tf.reduce_mean(gen_loss), tf.reduce_mean(disc_loss)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "39qnFbPJypOp"
      },
      "source": [
        "def generate_and_save_images(model, epoch, test_input):\n",
        "    predictions = model(test_input, weights_g, biases_g)\n",
        "\n",
        "    fig = plt.figure(figsize=(4,4))\n",
        "\n",
        "    for i in range(predictions.shape[0]):\n",
        "        plt.subplot(4, 4, i+1)\n",
        "        plt.imshow(predictions[i, :, :, 0], cmap='gray')\n",
        "        plt.axis('off')\n",
        "\n",
        "    # plt.savefig('image_at_epoch_{:04d}.png'.format(epoch))\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EfjKoGe3zhFY"
      },
      "source": [
        "def train(dataset, epochs):\n",
        "    i=0\n",
        "    for epoch in range(epochs):\n",
        "        # start = time.time()\n",
        "        for image_batch in dataset:\n",
        "            gen_loss, disc_loss = train_step(image_batch, epoch)\n",
        "            print ('epoch:{} - gen_loss:{} - disc_loss:{}'.format(epoch + 1, gen_loss, disc_loss))\n",
        "        # Produce images for the GIF as we go\n",
        "        # to visualize progress in the animated GIF)\n",
        "        # seed = tf.random.normal([16, 100])\n",
        "        # display.clear_output(wait=True)\n",
        "        # generate_and_save_images(generator,\n",
        "        #                          epoch + 1,\n",
        "        #                          seed)\n",
        "        \n",
        "    # Generate after the final epoch\n",
        "    # display.clear_output(wait=True)\n",
        "    # generate_and_save_images(generator,\n",
        "    #                        epochs,\n",
        "    #                        seed)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ldq9DLyFzq7B"
      },
      "source": [
        "train(train_dataset, epochs=6)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6jCfatf8zv7P"
      },
      "source": [
        "seed = tf.random.normal([16, 100])\n",
        "generate_and_save_images(generator,\n",
        "                           5,\n",
        "                           seed)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u-1Jc2-T2VUX"
      },
      "source": [
        "## Q6 : Improvement of the results \n",
        "We observe that GAN started to better capture some elements of the designs (diagonal bars in particular). Nevertheless, the network quickly collapsed on either noise or this diagonal bar. To improve the generations of this GAN: \n",
        "\n",
        "\n",
        "* Test other update schemes of the discriminator\n",
        "* Change the optimizers and learning rate parameters\n",
        "* Increase the number of epochs\n",
        "* Change the batch size\n",
        "...\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LKFVH4rk11Ib"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}