SmoothGrad implementation in PyTorch

Last update: Jan 05, 2023

Overview

SmoothGrad implementation in PyTorch

PyTorch implementation of SmoothGrad: removing noise by adding noise.

Vanilla Gradients	SmoothGrad	Guided backpropagation	Guided SmoothGrad

And other techniques such as the following are implemented.

Download

git clone https://github.com/pkdn/pytorch-smoothgrad

Usage

Save the saliency maps using VanillaGrad, GuidedBackpropGrad, SmoothGrad, GuidedBackpropSmoothGrad.

python saliency.py --img <image-path>

Save the Grad-CAM image.

python grad_cam.py --img <image-path>

If you do not specify an image path, read the raccoon's data (scipy.misc.face()).

Requirements

PyTorch
torch-vision
numpy
scipy
OpenCV

Environment under Python 3.5.2 is tested.

Acknowledgments

This code is insipired by pytorch-grad-cam.

Owner

SSKH

GitHub Repository

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SmoothGrad implementation in PyTorch

Related tags

Overview

SmoothGrad implementation in PyTorch

Download

Usage

Requirements

Acknowledgments

Owner

SSKH

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