Skip to main content

Open MMLab Computer Vision Foundation

Project description

https://img.shields.io/pypi/v/mmcv https://github.com/open-mmlab/mmcv/workflows/build/badge.svg 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 3.6+.

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-nightly-0.6.1.dev20200620.tar.gz (84.0 kB view details)

Uploaded Source

Built Distributions

File details

Details for the file mmcv-nightly-0.6.1.dev20200620.tar.gz.

File metadata

  • Download URL: mmcv-nightly-0.6.1.dev20200620.tar.gz
  • Upload date:
  • Size: 84.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.6.8

File hashes

Hashes for mmcv-nightly-0.6.1.dev20200620.tar.gz
Algorithm Hash digest
SHA256 e18cf46a6f823459ccee527a0bcf6b1b1bd689ca04aafa586d7874f7ffc5f94b
MD5 c133e5cfadec2a94bcab1b5f0a8f141d
BLAKE2b-256 9125494763dad9d312e7324b96c56d7c16cfa031defa728f6368b758d9469808

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.6.1.dev20200620-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.6.1.dev20200620-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 dd380cf33e1ea087e876baeb7a30f5b661b8ae1af0d38bde4d45093b70683cbf
MD5 01457c0a5fe02cb70edf1a7d6b53cc63
BLAKE2b-256 79a34e84651b6b98a4a13b51eb8f6cbbaa5e314726d186d5e1d5aacec9180357

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.6.1.dev20200620-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.6.1.dev20200620-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5eb1d34699765cfbcfd4384041fc80d4386388cd3aea4645056a31f435f004c5
MD5 db1752a09415b61ea2cd9e1fb3d55936
BLAKE2b-256 105a83ff0b519d2000d18d206787cce4da7970def45fb2668e1f1e4622a90388

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.6.1.dev20200620-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.6.1.dev20200620-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b1a8e8bd8732151d0082e46e3d0bdcd2c08067406527336cbbf027d3d9bd0659
MD5 e13ce8c8499078891b63a719bb0ef8b8
BLAKE2b-256 c97c959f02044777f9320b945c03988d3b7d66f5c6a9b2cf047c6f9324ac97a8

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