GradCAM
A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"
Install / Use
/learn @leftthomas/GradCAMREADME
GradCAM
A PyTorch implementation of Grad-CAM based on ICCV 2017 paper Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
Requirements
- Anaconda
- PyTorch
conda install pytorch torchvision -c pytorch
- opencv
conda install opencv
Usage
python vis_grad_cam.py --image_name dog_and_cat.png --save_name result.png
optional arguments:
--image_name the tested image name [default value is both.png]
--save_name saved image name [default value is grad_cam.png]
Result

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