This release is a pre-release and may not be stable for production use.
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 mmcvor 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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mmcv-nightly-0.5.9.dev20200617.tar.gz.
File metadata
- Download URL: mmcv-nightly-0.5.9.dev20200617.tar.gz
- Upload date:
- Size: 81.5 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
36c0fd005d0244e307d18ef164886ad6ca5b0f48f9092ae7136da2151d88bd5d
|
|
| MD5 |
29f5958533e89e4d0ed3413f9e9219cf
|
|
| BLAKE2b-256 |
37a8374181491d3394c32c597f7d63a54dd255dfbf8733692fefa637bfcd9dab
|
File details
Details for the file mmcv_nightly-0.5.9.dev20200617-cp38-cp38-manylinux1_x86_64.whl.
File metadata
- Download URL: mmcv_nightly-0.5.9.dev20200617-cp38-cp38-manylinux1_x86_64.whl
- Upload date:
- Size: 199.2 kB
- Tags: CPython 3.8
- 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
16147454fcddb2856ccd7b822202508cde03d0170fc8613e59911b311e3cd8e1
|
|
| MD5 |
9baaec85a4f3477ef485c234d6e70ef3
|
|
| BLAKE2b-256 |
d9a6be0a3843e61d5653b355ee91ffe024630d76a7ea0028423c5e4cb2967119
|
File details
Details for the file mmcv_nightly-0.5.9.dev20200617-cp37-cp37m-manylinux1_x86_64.whl.
File metadata
- Download URL: mmcv_nightly-0.5.9.dev20200617-cp37-cp37m-manylinux1_x86_64.whl
- Upload date:
- Size: 198.0 kB
- Tags: CPython 3.7m
- 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
df078e259b68e33c97aa81feba78656bf044704a2ad7aa1f2c8790f8bc2ecd11
|
|
| MD5 |
4192f831e549b66d66835d4c7192be79
|
|
| BLAKE2b-256 |
ba1e881016f5d3834c6b2195c3ce3195c31df5f07bbd5dfea53eb4589e2012fb
|
File details
Details for the file mmcv_nightly-0.5.9.dev20200617-cp36-cp36m-manylinux1_x86_64.whl.
File metadata
- Download URL: mmcv_nightly-0.5.9.dev20200617-cp36-cp36m-manylinux1_x86_64.whl
- Upload date:
- Size: 196.6 kB
- Tags: CPython 3.6m
- 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a370b49eb36db5114023863978d45f549830e7a6a01218eb4a4a653987806af5
|
|
| MD5 |
fb820dd0cc3ad442cca008a783977fa3
|
|
| BLAKE2b-256 |
b26e34af4eed74acef051ea885fd2f422929c79efc0997c472becd825ae731b2
|
