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A Simple pytorch implementation of GradCAM, and GradCAM++

Project description

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

Project details


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pytorch-gradcam-0.2.1.tar.gz (6.0 MB view hashes)

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