torch-cam and Grad-CAM
About torch-cam
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
This tool helps machine learning engineers and researchers understand why their image classification models make certain decisions. You input a trained PyTorch model and an image, and it outputs a heatmap highlighting the specific regions in the image that most influenced the model's classification. This allows you to visually interpret and debug your model's predictions.
About Grad-CAM
Cloud-CV/Grad-CAM
:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
This tool helps researchers and analysts understand why an AI model made a specific prediction when analyzing images. It takes an image that has been processed by a Convolutional Neural Network (CNN) and outputs a 'heat map' overlaying the original image, highlighting the regions that were most important for the model's decision. This is ideal for anyone who needs to interpret or explain the reasoning behind an AI's image-based predictions.
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