Gluon CV Toolkit
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Updated
Apr 19, 2024 - Python
Gluon CV Toolkit
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
3D ResNets for Action Recognition (CVPR 2018)
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
An open-source toolbox for action understanding based on PyTorch
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
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.
[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
Video Foundation Models & Data for Multimodal Understanding
A toolbox for skeleton-based action recognition.
Using two stream architecture to implement a classic action recognition method on UCF101 dataset
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 !!!)
temporal action detection with SSN
PyTorch implementation of two-stream networks for video action recognition
[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
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