facebookresearch/pytorchvideo
Library for video understanding research
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Related repos
- video and image watermarking code for training and inference
- Video models like SlowFast help computers spot actions and understand what’s happening in videos by combining slow and fast motion cues
- PyTorch models for high-res vision tasks using self-supervised learning
- Video embeddings for search and classification
- data augmentations for audio, image, text, and video
- Analyzes videos using vision models and Whisper
- segment anything in images and videos with sam2
- VGGT is a neural network that predicts 3D scene attributes like camera parameters, depth, and point maps from images
- tracks any pixel in video with transformer-based model, supports dense and long-term point tracking even through occlusion
- State-of-the-art object detection and segmentation library from Facebook AI Research
