OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Aug 14, 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
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
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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