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/Video processing
Image and annotation visualization
Useful utilities (progress bar, timer, …)
PyTorch runner with hooking mechanism
Various CNN architectures
High-quality implementation of common CUDA ops
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.
Release files for mmcv-nightly 1.0rc0.dev20200628
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mmcv-nightly-1.0rc0.dev20200628.tar.gz | 161.5 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mmcv_nightly-1.0rc0.dev20200628-cp38-cp38-manylinux1_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.5+ x86-64 | Details |
| mmcv_nightly-1.0rc0.dev20200628-cp37-cp37m-manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
| mmcv_nightly-1.0rc0.dev20200628-cp36-cp36m-manylinux1_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | Linux glibc 2.5+ x86-64 | Details |
Total release size: 887.4 kB
Release files / mmcv-nightly-1.0rc0.dev20200628.tar.gz
| Download URL | mmcv-nightly-1.0rc0.dev20200628.tar.gz |
|---|---|
| Size | 161.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / mmcv_nightly-1.0rc0.dev20200628-cp38-cp38-manylinux1_x86_64.whl
| Download URL | mmcv_nightly-1.0rc0.dev20200628-cp38-cp38-manylinux1_x86_64.whl |
|---|---|
| Size | 243.3 kB |
| Tags | CPython 3.8 Linux glibc 2.5+ x86-64 |
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SHA-256 checksum How to use checksums |
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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
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Release files / mmcv_nightly-1.0rc0.dev20200628-cp37-cp37m-manylinux1_x86_64.whl
| Download URL | mmcv_nightly-1.0rc0.dev20200628-cp37-cp37m-manylinux1_x86_64.whl |
|---|---|
| Size | 242.0 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 |
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SHA-256 checksum How to use checksums |
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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
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Release files / mmcv_nightly-1.0rc0.dev20200628-cp36-cp36m-manylinux1_x86_64.whl
| Download URL | mmcv_nightly-1.0rc0.dev20200628-cp36-cp36m-manylinux1_x86_64.whl |
|---|---|
| Size | 240.5 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.5+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is 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
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