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

Video Classification based on PyTorch

I3D features extractor with resnet50 backbone

Rewriting the I3D blender addon from scratch and adding long-sought community features

I3D implemetation in Keras video preprocessing visualization of results

[CVPR2020] Clean-Label Backdoor Attacks on Video Recognition Models

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