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+.