StOnEGiggity / pytorch-grad-cam

PyTorch implementation of Grad-CAM

Grad-CAM implementation in Pytorch

What makes the network think the image label is 'pug, pug-dog' and 'tabby, tabby cat':

Combining Grad-CAM with Guided Backpropagation for the 'pug, pug-dog' class:

Gradient class activation maps are a visualization technique for deep learning networks.

See the paper: https://arxiv.org/pdf/1610.02391v1.pdf

The paper authors' torch implementation: https://github.com/ramprs/grad-cam

My Keras implementation: https://github.com/jacobgil/keras-grad-cam

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This uses Resnet50 from torchvision. It will be downloaded when used for the first time. The code can be modified to work with any model.

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Usage: python gradcam.py --image-path <path_to_image>

To use with CUDA: python gradcam.py --image-path <path_to_image> --use-cuda