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Python 2.7 has ended it's life, use Python 3. #517

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28 changes: 14 additions & 14 deletions docs/pytorch-plants.md
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Expand Up @@ -59,7 +59,7 @@ To launch the training, run the following commands:

``` bash
$ cd jetson-inference/python/training/classification
$ python train.py --model-dir=plants ~/datasets/PlantCLEF_Subset
$ python3 train.py --model-dir=plants ~/datasets/PlantCLEF_Subset
```

As training begins, you should see text from the console like the following:
Expand Down Expand Up @@ -103,7 +103,7 @@ Note that the models are saved under `jetson-inference/python/training/classific
Just like with the Cat/Dog example, next we need to convert our trained model from PyTorch to ONNX, so that we can load it with TensorRT:

``` bash
python onnx_export.py --model-dir=plants
python3 onnx_export.py --model-dir=plants
```

This will create a model called `resnet18.onnx` under `jetson-inference/python/training/classification/plants/`
Expand All @@ -116,30 +116,30 @@ To classify some static test images, like before we'll use the extended command-
DATASET=~/datasets/PlantCLEF_Subset

# C++
imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/cattail.jpg cattail.jpg
./imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/cattail.jpg cattail.jpg

# Python
imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/cattail.jpg cattail.jpg
# Python 2.7 has ended it's life, use Python 3.
python3 imagenet-console.py --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/cattail.jpg cattail.jpg
```

<img src="https://github.com/dusty-nv/jetson-inference/raw/python/docs/images/pytorch-plants-cattail.jpg" width="500">

```bash
# C++
imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/elm.jpg elm.jpg
./imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/elm.jpg elm.jpg

# Python
imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/elm.jpg elm.jpg
# Python 2.7 has ended it's life, use Python 3.
python3 imagenet-console.py --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/elm.jpg elm.jpg
```

<img src="https://github.com/dusty-nv/jetson-inference/raw/python/docs/images/pytorch-plants-elm.jpg" width="500">

```bash
# C++
imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/juniper.jpg juniper.jpg
./imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/juniper.jpg juniper.jpg

# Python
imagenet-console --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/juniper.jpg juniper.jpg
# Python 2.7 has ended it's life, use Python 3.
python3 imagenet-console.py --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt $DATASET/test/juniper.jpg juniper.jpg
```

<img src="https://github.com/dusty-nv/jetson-inference/raw/python/docs/images/pytorch-plants-juniper.jpg" width="500">
Expand Down Expand Up @@ -177,10 +177,10 @@ You can also try running your re-trained plant model on a live camera stream lik
DATASET=~/datasets/PlantCLEF_Subset

# C++
imagenet-camera --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt
./imagenet-camera --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt

# Python
imagenet-camera.py --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt
# Python 2.7 has ended it's life, use Python 3.
python3 imagenet-camera.py --model=plants/resnet18.onnx --input_blob=input_0 --output_blob=output_0 --labels=$DATASET/labels.txt
```

<img src="https://github.com/dusty-nv/jetson-inference/raw/python/docs/images/pytorch-plants-fern.jpg" width="500">
Expand Down