Gluon CV Toolkit
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Updated
Nov 25, 2024 - Python
Gluon CV Toolkit
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
3D ResNets for Action Recognition (CVPR 2018)
A curated list of action recognition and related area resources
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
The collection of pre-trained, state-of-the-art AI models for ailia SDK
An open-source toolbox for action understanding based on PyTorch
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Video classification tools using 3D ResNet
Temporal Segment Networks (TSN) in PyTorch
A toolbox for skeleton-based action recognition.
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
Skeleton-based Action Recognition
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