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«cam» implements Gradient-weighted Class Activation Mapping.

Table of Contents

• Table of Contents
• Background
• Usage
• Maintainers
• Thanks
• Contributing
• License

Background

Through CAM (Class Activation Mapping), I can effectively visualize the model's focus on images, helping me better apply them to practical scenarios.

This warehouse has implemented Grad-CAM (Weight the 2D activations by the average gradient). At present, there are many other variants besides CAM and Grad-CAM. You can view the usage of jacobgil/pytorch-grad-cam and frgfm/torch-cam

Usage

# Custom Grad-CAM
python imagenet/Grad-CAM.py --arch resnet50 imgs/cat.jpg

# jacobgil/pytorch-grad-cam
python samples/pytorch-grad-cam.py imgs/cat.jpg

Maintainers

• zhujian - Initial work - zjykzj

Thanks

• jacobgil/pytorch-grad-cam

Contributing

Anyone's participation is welcome! Open an issue or submit PRs.

Small note:

• Git submission specifications should be complied with Conventional Commits
• If versioned, please conform to the Semantic Versioning 2.0.0 specification
• If editing the README, please conform to the standard-readme specification.

License

Apache License 2.0 © 2023 zjykzj