OpenMMLab builds the most influential open-source computer vision algorithm system in the deep learning era. It aims to
- provide high-quality libraries to reduce the difficulties in algorithm reimplementation
- create efficient deployment toolchains targeting a variety of backends and devices
- build a solid foundation for computer vision research and development
- bridge the gap between academic research and industrial applications with full-stack toolchains
Based on PyTorch, OpenMMLab develops MMEngine to provide universal training and evaluation engine, and MMCV to provide neural network operators and data transforms, which serves as a foundation of the whole project. Since the initial release in October 2018, OpenMMLab has released 30+ vision libraries, has implemented 300+ algorithms, and contains 2000+ pre-trained models.
Check ourtutorials videos (in Chinese) to get started.
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- mmsegmentation
mmsegmentation PublicOpenMMLab Semantic Segmentation Toolbox and Benchmark.
Repositories
- Amphion Public
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
open-mmlab/Amphion’s past year of commit activity