pytorch-grad-cam：Grad-CAM的PyTorch实现

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