mmtracking

We have hosted the application mmtracking in order to run this application in our online workstations with Wine or directly.

Quick description about mmtracking:

MMTracking is an open-source Video perception toolbox by PyTorch. It is a part of OpenMMLab project. We are the first open-source toolbox that unifies versatile Video perception tasks include Video object detection, multiple object tracking, single object tracking and Video instance segmentation. We decompose the Video perception framework into different components and one can easily construct a customized method by combining different modules. MMTracking interacts with other OpenMMLab projects. It is built upon MMDetection that we can capitalize any detector only through modifying the configs. All operations run on GPUs. The training and inference speeds are faster than or comparable to other implementations. We reproduce state-of-the-art models and some of them even outperform the official implementations.

Features:

• Modular Design
• We are the first open source toolbox that unifies versatile Video perception tasks include Video object detection, multiple object tracking, etc.
• We also support more methods in MMTracking 1.x, such as StrongSORT for MOT, Mask2Former for VIS, PrDiMP for SOT
• All operations run on GPUs
• We reproduce state-of-the-art models and some of them even outperform the official implementations
• We decompose the Video perception framework into different components and one can easily construct a customized method by combining different modules

Programming Language: Python.
Categories: