Introduction¶
MMCV is a foundational library for computer vision research and supports many research projects as below:
MMClassification: OpenMMLab image classification toolbox and benchmark.
MMDetection: OpenMMLab detection toolbox and benchmark.
MMDetection3D: OpenMMLab’s next-generation platform for general 3D object detection.
MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
MMAction2: OpenMMLab’s next-generation action understanding toolbox and benchmark.
MMTracking: OpenMMLab video perception toolbox and benchmark.
MMPose: OpenMMLab pose estimation toolbox and benchmark.
MMEditing: OpenMMLab image and video editing toolbox.
MMOCR: OpenMMLab text detection, recognition and understanding toolbox.
MMGeneration: OpenMMLab image and video generative models toolbox.
It provides the following functionalities.
Universal IO APIs
Image/Video processing
Image and annotation visualization
Useful utilities (progress bar, timer, …)
PyTorch runner with hooking mechanism
Various CNN architectures
High-quality implementation of common CUDA ops
Note
MMCV requires Python 3.6+.