OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Mar 18, 2026 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
Inflated i3d network with inception backbone, weights transfered from tensorflow
Transforms for video datasets in pytorch
Source code for "Bi-modal Transformer for Dense Video Captioning" (BMVC 2020)
Video Platform for Action Recognition and Object Detection in Pytorch
I3D and 3D-ResNets in PyTorch
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
TensorFlow code for finetuning I3D model on UCF101.
PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)
A one stop shop for all of your activity recognition needs.
Sign Language Recognition for Deaf People
Rewriting the I3D blender addon from scratch and adding long-sought community features
Video Classification based on PyTorch
Blender add-on for importing Farming Simulator 25 .i3d files with all details such as materials, primary and secondary UVs, vertex colors and custom shader properties. Includes both re-exportable and PBR-ready debug materials to get the full material look also in Blender (dirt, moss, snow overlays, additional surface details, clear coat...).
[CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models
I3D implemetation in Keras + video preprocessing + visualization of results
动作识别(Action Recognition)常见模型的Pytorch实现
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