https://github.com/modeltc/imagenet-s

Robustness for real-world system noise
https://github.com/modeltc/imagenet-s

Last synced: 3 months ago
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Robustness for real-world system noise

• Host: GitHub
• URL: https://github.com/modeltc/imagenet-s
• Owner: ModelTC
• Created: 2021-08-09T04:06:56.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2022-03-22T07:49:22.000Z (about 4 years ago)
• Last Synced: 2025-12-04T10:16:40.109Z (6 months ago)
• Language: Python
• Size: 3.99 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ImageNet-S

Robustness for real-world system noise

## Usage 1 --> Generate dataset on file system

    from imagenet_s_gen import ImageTransfer

    ImageTransfer(root_dir='/your/val/images/root/path', meta_file='/meta/val.txt',

                  save_root='/your/save/root/path', decoder_type='pil',

                  transform_type='val', resize_type='pil-bilinear').write_to_filesystem()

## Usage 2 --> Generate one image real time (recommend)

    from imagenet_s_gen import ImageTransfer

    image_gen = ImageTransfer(root_dir='/your/val/images/root/path', meta_file='/meta/val.txt',

                save_root='', decoder_type='pil',

                transform_type='val', resize_type='pil-bilinear')

    # generate numpy image on index 0

    numpy_image, label = image_gen.getimage(0)