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-0.5.7.dev20200529.tar.gz (120.3 kB view details)

Uploaded Source

Built Distributions

File details

Details for the file mmcv-nightly-0.5.7.dev20200529.tar.gz.

File metadata

  • Download URL: mmcv-nightly-0.5.7.dev20200529.tar.gz
  • Upload date:
  • Size: 120.3 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-0.5.7.dev20200529.tar.gz
Algorithm Hash digest
SHA256 d40e8ca88d88e6ac378d4c5d91fbf08664c12641615061147c896087d012e063
MD5 7b3c73f56778d0c7e699c19957d28d52
BLAKE2b-256 c85293fb08b2b3a76e81b81d3b37d22a9bd7c3f19822f27979af3e4106c7284f

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.5.7.dev20200529-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.5.7.dev20200529-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6fa72d1496f9e040c376639170a126886c878fb6cef9aabf18e424600255ea0a
MD5 e2cdb439743d42e0ea54c06bfd15d63b
BLAKE2b-256 ca64d27410d49dbeae038519ee1e394176194f4f8b050770bf52f482c1c643f8

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.5.7.dev20200529-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.5.7.dev20200529-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f3cff57eed14866193fda542dc574d1a3a7cf2332822ef1ba3d5f7bfd7c0b024
MD5 df4d449598571ed9d8583b5a23e48cec
BLAKE2b-256 766a01a57f0c49c880af90a3dda0f941bc5416fd9c0ab77afe62c398a59bb25a

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.5.7.dev20200529-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.5.7.dev20200529-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9a02bce17078b451cd278fd6a1f3e99f1787471bd7419b53f73665d459e83d28
MD5 c2033403ac979059e2f72de217a6f97c
BLAKE2b-256 e540296cd3c99b83d371c6b6df1270fb544fc461a9152f946b6a5f5c1164cee0

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