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        "description": "### A Simple pytorch implementation of GradCAM[1], and GradCAM++[2]\n<br>\n<p align=\"center\">\n<img src=assets/readme.png>\n</p>\n\n### Installation\n\n```sh\npip install pytorch-gradcam\n```\n\n### Supported torchvision models\n- alexnet\n- vgg\n- resnet\n- densenet\n- squeezenet\n\n### Usage\nplease refer to `example.ipynb` for general usage and refer to documentations of each layer-finding functions in `utils.py` if you want to know how to set `target_layer_name` properly.\n\n### References:\n[1] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, Selvaraju et al, ICCV, 2017 <br>\n[2] Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks, Chattopadhyay et al, WACV, 2018\n\n\n",
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