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
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.
A one stop shop for all of your activity recognition needs.
EPIC-KITCHENS-55 baselines for Action Recognition
Proof-of-concept for a developer-friendly system service to handle time-sensitive applications.
Code designed for MSc. Telecommunications Engineering Final Project
[ECCV 2016] Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
The repository of the EnGINE framework used for reproducible large scale experiments.
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