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.dev20200621.tar.gz (83.9 kB view details)

Uploaded Source

Built Distributions

File details

Details for the file mmcv-nightly-0.6.1.dev20200621.tar.gz.

File metadata

  • Download URL: mmcv-nightly-0.6.1.dev20200621.tar.gz
  • Upload date:
  • Size: 83.9 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.dev20200621.tar.gz
Algorithm Hash digest
SHA256 940e71a536a58a89e56f5aefa7585630d0487145edcff2b045cb32ca5d190f78
MD5 65e065bdaadce028aecdcd8cdc8e2aea
BLAKE2b-256 9746f40e10731215ea028a0ebf35751351ae66c53edb20dfbc2ce6e305ed15a6

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.6.1.dev20200621-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.6.1.dev20200621-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5e67c208484a3e83b7c0d92b4c0da6d5526cb8e0f75600da5c2b282469960b13
MD5 d7189545b5ebd6d465b12ef5419d862e
BLAKE2b-256 e7a291d02149b3472648d34d3c588a399a5bbdae830b8fb832eee16ef5d56b58

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.6.1.dev20200621-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.6.1.dev20200621-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 0a0ed134bf18d73b6ce26281ab4148af4b409ccada9f50e72501088c00f4d6ce
MD5 991ee3d7cfdef65bb05ed53f63b9a27c
BLAKE2b-256 0bbb9d83ac1675a3a65303f2b441b1be15a743988733ed820319702bc3e9985d

See more details on using hashes here.

File details

Details for the file mmcv_nightly-0.6.1.dev20200621-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for mmcv_nightly-0.6.1.dev20200621-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 243ce80fcca3b0669e2cd78bc6960cf0360139c07106447cbb28cd52cf740e64
MD5 941bad088b7cb054be22253db5a798e6
BLAKE2b-256 43c08c869216a14e77ce18d05905156f96eebcbf9348a2305721ce30bc6c2d48

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