This is the Windows app named MMAction2 whose latest release can be downloaded as MMAction2V1.2.0Releasesourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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MMAction2
DESCRIPTION
OpenMMLab's next generation video understanding toolbox and benchmark. MMAction2 is an open-source toolbox for video understanding based on PyTorch. It is a part of the OpenMMLab project. Modular design: We decompose a video understanding framework into different components. One can easily construct a customized video understanding framework by combining different modules. Support four major video understanding tasks: MMAction2 implements various algorithms for multiple video understanding tasks, including action recognition, action localization, Spatio-temporal action detection, and skeleton-based action detection. We support 27 different algorithms and 20 different datasets for the four major tasks. We provide detailed documentation and API reference, as well as unit tests. We support Multigrid on Kinetics400, achieve 76.07% Top-1 accuracy and accelerate training speed.
Features
- The master branch works with PyTorch 1.5+
- Action Recognition
- Skeleton-base Action Recognition
- Skeleton-based Spatio-Temporal Action Detection and Action Recognition
- Spatio-Temporal Action Detection
- We provide detailed documentation and API reference
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mmaction2.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
