Skip to content

Commit

Permalink
Merge pull request #178 from Aydinhamedi/Alpha-b
Browse files Browse the repository at this point in the history 
Alpha b
  • Loading branch information
@Aydinhamedi
Aydinhamedi authored Mar 12, 2024
2 parents 06536a1 + 07f7260 commit b9c881d
Show file tree
Hide file tree
Showing 4 changed files with 45 additions and 24 deletions.
7 changes: 5 additions & 2 deletions .gitignore
View file
Original file line number Diff line number Diff line change
Expand Up @@ -95,5 +95,8 @@ Samples/*
/env
/Temp
/Test.md
/Interface/GUI/Data/model_info.json
/Load_Backup.py
/Interface/GUI/Data/model_info.json
/Load_Backup.py

# Exclude backup load
/Backup_*_COPY.ipynb
36 changes: 22 additions & 14 deletions BETA_E_Model_T&T.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -95,6 +95,7 @@
"import matplotlib.pyplot as plt\n",
"from model_profiler import model_profiler\n",
"from keras_gradient_noise import add_gradient_noise\n",
"from deprecated import deprecated\n",
"from keras.optimizers import SGD, Adam, Adagrad, Adadelta, Nadam, RMSprop, Adamax\n",
"# from tensorflow_addons.optimizers import Yogi\n",
"from adabelief_tf import AdaBeliefOptimizer\n",
Expand Down Expand Up @@ -288,19 +289,25 @@
"text": [
"\u001b[0;33mUsing Def IDG...\u001b[0m\n",
"Found 23681 images belonging to 2 classes.\n",
"\u001b[0;33mLoading all images and labels into memory...\u001b[0m\n",
"\u001b[0;33mMaking categorical data...\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0;33mGenerating augmented data \u001b[0m\u001b[0;36m[\u001b[0m\u001b[0;32mADBD: \u001b[0m\u001b[0;31m0\u001b[0m\u001b[0;36m]\u001b[0m\u001b[0;33m...\u001b[0m\n",
"\u001b[0;33mNormalizing image data...\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0mData type: \u001b[0m\u001b[0;32mfloat16\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0mRGB Range: \u001b[0m\u001b[0;34mMin = 0.0\u001b[0m\u001b[0m | \u001b[0m\u001b[0;31mMax = 1.0\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0mLabel ratio: \u001b[0m\u001b[0;31m49.35% PNEUMONIA \u001b[0m\u001b[0;35m| \u001b[0m\u001b[0;32m50.65% NORMAL\u001b[0m\n",
"\u001b[0;33mSetting LNTS...\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0mOriginal num_samples: \u001b[0m\u001b[0;32m23681\u001b[0m\n",
"\u001b[0;33mshuffling data...\u001b[0m\n",
"\u001b[0;33mSaving TS...\u001b[0m\n",
"\u001b[0m\u001b[0m\u001b[0mSample dir: \u001b[0m\u001b[0;32mSamples/TSR400_y2024_m03_d07-h13_m48_s18\u001b[0m\n",
"\u001b[0;32mDone.\u001b[0m\n"
"\u001b[0;33mLoading all images and labels into memory...\u001b[0m\n"
]
},
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[6], line 223\u001b[0m\n\u001b[0;32m 221\u001b[0m \u001b[38;5;66;03m# Load all images and labels into memory\u001b[39;00m\n\u001b[0;32m 222\u001b[0m print_Color(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLoading all images and labels into memory...\u001b[39m\u001b[38;5;124m'\u001b[39m, [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124myellow\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m--> 223\u001b[0m x_train, y_train \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43miter\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtrain_generator_SM\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 224\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m Make_EV_DATA:\n\u001b[0;32m 225\u001b[0m x_val, y_val \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mnext\u001b[39m(\u001b[38;5;28miter\u001b[39m(val_generator))\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\keras\\preprocessing\\image.py:156\u001b[0m, in \u001b[0;36mIterator.__next__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 155\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__next__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m--> 156\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnext(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\keras\\preprocessing\\image.py:168\u001b[0m, in \u001b[0;36mIterator.next\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 165\u001b[0m index_array \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mnext\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindex_generator)\n\u001b[0;32m 166\u001b[0m \u001b[38;5;66;03m# The transformation of images is not under thread lock\u001b[39;00m\n\u001b[0;32m 167\u001b[0m \u001b[38;5;66;03m# so it can be done in parallel\u001b[39;00m\n\u001b[1;32m--> 168\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_batches_of_transformed_samples\u001b[49m\u001b[43m(\u001b[49m\u001b[43mindex_array\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\keras\\preprocessing\\image.py:384\u001b[0m, in \u001b[0;36mBatchFromFilesMixin._get_batches_of_transformed_samples\u001b[1;34m(self, index_array)\u001b[0m\n\u001b[0;32m 382\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mimage_data_generator:\n\u001b[0;32m 383\u001b[0m params \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mimage_data_generator\u001b[38;5;241m.\u001b[39mget_random_transform(x\u001b[38;5;241m.\u001b[39mshape)\n\u001b[1;32m--> 384\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimage_data_generator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 385\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mimage_data_generator\u001b[38;5;241m.\u001b[39mstandardize(x)\n\u001b[0;32m 386\u001b[0m batch_x[i] \u001b[38;5;241m=\u001b[39m x\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\keras\\preprocessing\\image.py:2013\u001b[0m, in \u001b[0;36mImageDataGenerator.apply_transform\u001b[1;34m(self, x, transform_parameters)\u001b[0m\n\u001b[0;32m 2010\u001b[0m img_col_axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcol_axis \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m 2011\u001b[0m img_channel_axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mchannel_axis \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m-> 2013\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[43mapply_affine_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2014\u001b[0m \u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2015\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform_parameters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtheta\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2016\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform_parameters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtx\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2017\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform_parameters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mty\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2018\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform_parameters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mshear\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2019\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform_parameters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mzx\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2020\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform_parameters\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mzy\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2021\u001b[0m \u001b[43m \u001b[49m\u001b[43mrow_axis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mimg_row_axis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2022\u001b[0m \u001b[43m \u001b[49m\u001b[43mcol_axis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mimg_col_axis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2023\u001b[0m \u001b[43m \u001b[49m\u001b[43mchannel_axis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mimg_channel_axis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2024\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfill_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2025\u001b[0m \u001b[43m \u001b[49m\u001b[43mcval\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2026\u001b[0m \u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minterpolation_order\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2027\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2029\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m transform_parameters\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mchannel_shift_intensity\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 2030\u001b[0m x \u001b[38;5;241m=\u001b[39m apply_channel_shift(\n\u001b[0;32m 2031\u001b[0m x,\n\u001b[0;32m 2032\u001b[0m transform_parameters[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mchannel_shift_intensity\u001b[39m\u001b[38;5;124m\"\u001b[39m],\n\u001b[0;32m 2033\u001b[0m img_channel_axis,\n\u001b[0;32m 2034\u001b[0m )\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\keras\\preprocessing\\image.py:2615\u001b[0m, in \u001b[0;36mapply_affine_transform\u001b[1;34m(x, theta, tx, ty, shear, zx, zy, row_axis, col_axis, channel_axis, fill_mode, cval, order)\u001b[0m\n\u001b[0;32m 2612\u001b[0m final_affine_matrix \u001b[38;5;241m=\u001b[39m transform_matrix[:\u001b[38;5;241m2\u001b[39m, :\u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m 2613\u001b[0m final_offset \u001b[38;5;241m=\u001b[39m transform_matrix[:\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m2\u001b[39m]\n\u001b[1;32m-> 2615\u001b[0m channel_images \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m 2616\u001b[0m ndimage\u001b[38;5;241m.\u001b[39minterpolation\u001b[38;5;241m.\u001b[39maffine_transform(\n\u001b[0;32m 2617\u001b[0m x_channel,\n\u001b[0;32m 2618\u001b[0m final_affine_matrix,\n\u001b[0;32m 2619\u001b[0m final_offset,\n\u001b[0;32m 2620\u001b[0m order\u001b[38;5;241m=\u001b[39morder,\n\u001b[0;32m 2621\u001b[0m mode\u001b[38;5;241m=\u001b[39mfill_mode,\n\u001b[0;32m 2622\u001b[0m cval\u001b[38;5;241m=\u001b[39mcval,\n\u001b[0;32m 2623\u001b[0m )\n\u001b[0;32m 2624\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x_channel \u001b[38;5;129;01min\u001b[39;00m x\n\u001b[0;32m 2625\u001b[0m ]\n\u001b[0;32m 2626\u001b[0m x \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mstack(channel_images, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m 2627\u001b[0m x \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mrollaxis(x, \u001b[38;5;241m0\u001b[39m, channel_axis \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m)\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\keras\\preprocessing\\image.py:2616\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 2612\u001b[0m final_affine_matrix \u001b[38;5;241m=\u001b[39m transform_matrix[:\u001b[38;5;241m2\u001b[39m, :\u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m 2613\u001b[0m final_offset \u001b[38;5;241m=\u001b[39m transform_matrix[:\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m2\u001b[39m]\n\u001b[0;32m 2615\u001b[0m channel_images \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m-> 2616\u001b[0m \u001b[43mndimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minterpolation\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maffine_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2617\u001b[0m \u001b[43m \u001b[49m\u001b[43mx_channel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2618\u001b[0m \u001b[43m \u001b[49m\u001b[43mfinal_affine_matrix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2619\u001b[0m \u001b[43m \u001b[49m\u001b[43mfinal_offset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2620\u001b[0m \u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2621\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfill_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2622\u001b[0m \u001b[43m \u001b[49m\u001b[43mcval\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcval\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2623\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2624\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m x_channel \u001b[38;5;129;01min\u001b[39;00m x\n\u001b[0;32m 2625\u001b[0m ]\n\u001b[0;32m 2626\u001b[0m x \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mstack(channel_images, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m 2627\u001b[0m x \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mrollaxis(x, \u001b[38;5;241m0\u001b[39m, channel_axis \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m)\n",
"File \u001b[1;32mc:\\Users\\aydin\\Desktop\\Pneumonia AI Dev\\venv\\lib\\site-packages\\scipy\\ndimage\\_interpolation.py:614\u001b[0m, in \u001b[0;36maffine_transform\u001b[1;34m(input, matrix, offset, output_shape, output, order, mode, cval, prefilter)\u001b[0m\n\u001b[0;32m 611\u001b[0m _nd_image\u001b[38;5;241m.\u001b[39mzoom_shift(filtered, matrix, offset\u001b[38;5;241m/\u001b[39mmatrix, output, order,\n\u001b[0;32m 612\u001b[0m mode, cval, npad, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m 613\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 614\u001b[0m \u001b[43m_nd_image\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgeometric_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfiltered\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmatrix\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 615\u001b[0m \u001b[43m \u001b[49m\u001b[43moutput\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcval\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnpad\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 616\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m 617\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m output\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
Expand All @@ -312,6 +319,7 @@
" std_dev = np.std(arr)\n",
" arr = (arr - mean) / std_dev\n",
" return arr\n",
"\n",
"#normalize_TO_RANGE\n",
"def normalize_TO_RANGE(arr, min_val, max_val):\n",
" arr = arr.astype(Img_Data_type)\n",
Expand Down Expand Up @@ -715,7 +723,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"metadata": {
"ExecuteTime": {
"end_time": "2023-12-28T02:31:27.380088800Z",
Expand Down
20 changes: 18 additions & 2 deletions Interface/GUI/Data/GUI_main.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@
import cv2
import sys
import json
import atexit
import queue
import hashlib
import pydicom
Expand Down Expand Up @@ -56,7 +57,7 @@
IMG_RES = (224, 224, 3)
train_epochs_def = 4
SHOW_CSAA_OS = False
Show_GUI_debug = False
Debug_m = False
# normal global
available_models = []
img_array = None
Expand Down Expand Up @@ -581,6 +582,21 @@ def IEH(id: str = 'Unknown', stop: bool = True, DEV: bool = True) -> None:
logger.warning('SYS EXIT|ERROR: Internal|by Internal Error Handler')
sys.exit('SYS EXIT|ERROR: Internal|by Internal Error Handler')

# _Exit
@atexit.register
def _Exit():
GUI_window_CE = ''
try:
GUI_window.close()
except Exception as err:
GUI_window_CE = err
if Debug_m:
print('! <Exit handler> Exiting app...')
print(f'! <Exit handler> GUI close err: [{GUI_window_CE}]')
print('! <Exit handler> Global var dump:')
for var in globals().items():
print(f'! <Exit handler> -<G dump>- {var[0]} --> {var[1]}')
print('! <Exit handler> Exited app.')
# UWL
def UWL(Only_finalize: bool = False) -> None:
"""Updates the GUI window.
Expand All @@ -607,7 +623,7 @@ def main() -> None:
"""
# start
sg.SystemTray.notify(f'Pneumonia-Detection-Ai-GUI', f'Gui started.\nV{GUI_Ver}')
if Show_GUI_debug:
if Debug_m:
sg.SystemTray.notify(f'Pneumonia-Detection-Ai-GUI', f'Looks like you are a programmer\nWow.\nV{GUI_Ver}')
sg.show_debugger_window()
# global
Expand Down
6 changes: 0 additions & 6 deletions Load_Backup.py
View file

This file was deleted.

0 comments on commit b9c881d

Please sign in to comment.