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18 lines
646 B
Text
18 lines
646 B
Text
timm-vis is a PyTorch image models visualizer.
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Implementation of various visualization techniques for pytorch image
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classifiers. This library can be used to visualize and understand any PyTorch
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image classifier. This is NOT an official PyTorch library, nor is it affiliated
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with Ross Wightman's pytorch-image-models library. details.ipynb has visual
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examples of all methods implemented.
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Currently, the following methods are implemented:
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* Filter visualization
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* Activations visualization
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* Maximally activated patches
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* Saliency maps
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* Synthetic image generation
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* Adversarial attacks to fool models
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* Feature inversion
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* Grad-CAM
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* Deep Dream
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