OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Mar 18, 2026 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
A scheduling and benchmark toolkit for Time-Sensitive Networking in Python
Proof-of-concept for a developer-friendly system service to handle time-sensitive applications.
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.
The repository of the EnGINE framework used for reproducible large scale experiments.
Code designed for MSc. Telecommunications Engineering Final Project
[ECCV 2016] Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
EPIC-KITCHENS-55 baselines for Action Recognition
A one stop shop for all of your activity recognition needs.
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