Shypd.aiThe largest open index of AI toolspytorch-grad-cam is an AI explainability tool for computer vision, supporting CNNs, Vision Transformers, and various tasks like object detection and segmentation. It helps diagnose model predictions and provides insights into how models make decisions.
Trending
About
pytorch-grad-cam is an advanced AI explainability package for computer vision, built on PyTorch. It offers a comprehensive collection of Pixel Attribution methods, including GradCAM, HiResCAM, ScoreCAM, and many others, to help diagnose model predictions and understand their decision-making process. The tool supports a wide range of architectures, from common CNNs to Vision Transformers, and can be applied to advanced use cases such as classification, object detection, semantic segmentation, and embedding-similarity. It includes smoothing methods like `aug_smooth` and `eigen_smooth` to produce clearer CAMs, and boasts high performance with full support for batches of images. Additionally, pytorch-grad-cam provides metrics for evaluating the trustworthiness and performance of explanations, making it valuable for both model development and research into new explainability methods.
Capabilities
FAQs
Trending
