Skip to main content

Open MMLab Computer Vision Foundation

Project description

https://travis-ci.com/open-mmlab/mmcv.svg?branch=master https://codecov.io/gh/open-mmlab/mmcv/branch/master/graph/badge.svg https://img.shields.io/github/license/open-mmlab/mmcv.svg

Introduction

MMCV is a foundational python library for computer vision research and supports many research projects in MMLAB, such as MMDetection and MMAction.

It provides the following functionalities.

  • Universal IO APIs

  • Image processing

  • Video processing

  • Image and annotation visualization

  • Useful utilities (progress bar, timer, …)

  • PyTorch runner with hooking mechanism

  • Various CNN architectures

See the documentation for more features and usage.

Note: MMCV requires Python 3.5+.

Installation

Try and start with

pip install mmcv

or install from source

git clone https://github.com/open-mmlab/mmcv.git
cd mmcv
pip install -e .

Note: If you would like to use opencv-python-headless instead of opencv-python, e.g., in a minimum container environment or servers without GUI, you can first install it before installing MMCV to skip the installation of opencv-python.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mmcv-0.4.4.tar.gz (56.6 kB view details)

Uploaded Source

File details

Details for the file mmcv-0.4.4.tar.gz.

File metadata

  • Download URL: mmcv-0.4.4.tar.gz
  • Upload date:
  • Size: 56.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for mmcv-0.4.4.tar.gz
Algorithm Hash digest
SHA256 f476b63e6c56a5a90268d084453eebe5d07e009e97d2add45ddadd2af381d397
MD5 ba1ab90beae0c80d9c914e4e1d4533db
BLAKE2b-256 a796499076ecb7d15757098c8d79e92ef521564289a5438b642b898479a21037

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page