OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Jul 1, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
Inflated i3d network with inception backbone, weights transfered from tensorflow
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.
Transforms for video datasets in pytorch
TensorFlow code for finetuning I3D model on UCF101.
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
Video Platform for Action Recognition and Object Detection in Pytorch
Sign Language Recognition for Deaf People
I3D and 3D-ResNets in PyTorch
A one stop shop for all of your activity recognition needs.
PyTorch implementation of Multi-modal Dense Video Captioning (CVPR 2020 Workshops)
Video Classification based on PyTorch
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
real-time violence detection on video content
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