A Simple pytorch implementation of GradCAM[1], and GradCAM++[2]

Installation

pip install pytorch-gradcam

Supported torchvision models

• alexnet
• vgg
• resnet
• densenet
• squeezenet

Usage

please 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.

Use your own model and layer:

model = MyModel()
target_layer = model.my_submodule
gradcam = GradCAM(model, target_layer)

References:

[1] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, Selvaraju et al, ICCV, 2017
[2] Grad-CAM++: Generalized Gradient-based Visual Explanations for Deep Convolutional Networks, Chattopadhyay et al, WACV, 2018