add imagenet
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@ -26,7 +26,7 @@ pip install requirements.txt
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## Usage
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### Prepare Dataset
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The cifar10 dataset can be downloaded automatically by torchvision. But the imagenet dataset should be downloaded manually and put in the right place, refer to [dataset.py](https://github.com/chunbaobao/Deep-JSCC-PyTorch/blob/main/dataset.py#L28). And run:
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The cifar10 dataset can be downloaded automatically by torchvision. But the imagenet dataset should be downloaded manually from [ImageNet website](https://image-net.org/) and put in the right place, refer to [dataset.py](https://github.com/chunbaobao/Deep-JSCC-PyTorch/blob/main/dataset.py#L28). And run:
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```
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python dataset.py
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```
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@ -23,9 +23,10 @@ class Vanilla(Dataset):
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def main():
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data_path = './Dataset'
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os.makedirs(data_path, exist_ok=True)
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# ILSVRC2012_img_train.tar and ILSVRC2012_img_val.tar should be downloaded from https://image-net.org/
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if not os.path.exists('./Dataset/ILSVRC2012_img_train.tar') or not os.path.exists('./Dataset/ILSVRC2012_img_val.tar'):
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print('Please download the dataset from http://www.image-net.org/challenges/LSVRC/2012/downloads and put it in ./Dataset')
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print('ILSVRC2012_img_train.tar and ILSVRC2012_img_val.tar should be downloaded from https://image-net.org/')
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print('Please download the dataset from https://image-net.org/challenges/LSVRC/2012/2012-downloads and put it in ./Dataset')
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raise Exception('not find dataset')
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phases = ['train', 'val']
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for phase in phases:
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