Install opencv python 3.10 windows

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OpenCV on wheels

Unofficial OpenCV packages for Python.

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OpenCV on wheels
Installation and Usage
Build process
Manylinux wheels
Supported Python versions
Does Python 3.10 support OpenCV?
How do I install Python and OpenCV on Windows 10?
How do I import OpenCV into Python 3?
Can I install OpenCV on Windows?

The aim of this repository is to provide means to package each new OpenCV release for the most used Python versions and platforms.

At the same time it allows anyone to build a custom version of OpenCV for any Python version: just fork this repo and modify the build files and scripts to fit your needs.

Installation and Usage

To install this package:

pip install opencv-python

To import the package:

import cv2

OpenCV documentation

Build process

The project is structured like a normal Python package with a standard setup.py file. The build process is as follows (see for example appveyor.yml file):

Checkout repository and submodules
- OpenCV is included as submodule and the version is updated manually by maintainers when a new OpenCV release has been made
Find OpenCV version from the sources
Upgrade pip and install numpy for each Python version
Build OpenCV
- tests are disabled, otherwise build time increases too much
Copy each .pyd/.so file to cv2 folder of this project and generate wheel
Install the generated wheels for each Python version
Test that the Python versions can import them
Use twine to upload all wheels to PyPI

Currently the find_version.py file parses OpenCV version information from the OpenCV sources. OpenCV depends on numpy, so setup.py checks the numpy version also with the help of pip.

The cv2.pyd file for example on Windows is normally copied to site-packages. To avoid polluting the root folder the __init__.py file in cv2 folder handles the import logic correctly by importing the actual .pyd module and replacing the imported cv2 package in sys.modudes with the cv2 module to retain backward compatibility.

Licensing

Opencv-python package (scripts in this repository) is available under MIT license. The OpenCV itself is available under 3-clause BSD License (LICENSE-3RD-PARTY.txt).

Versioning

Currently the find_version.py script searches for the version information from OpenCV sources and appends also a revision number specific to this repository to the version string.

Releases

A release is made and uploaded to PyPI when a new tag is pushed to master branch. These tags differentiate packages (this repo might have modifications but OpenCV version stays same) and should be incremented sequentially. In practice, release version numbers look like this:

cv_major.cv_minor.cv_revision.package_revision e.g. 3.1.0.0

Development builds

Every commit to the master branch of this repo will be built. Possible build artifacts use local version identifiers:

cv_major.cv_minor.cv_revision+git_hash_of_this_repo e.g. 3.1.0+14a8d39

These artifacts can’t be and will not be uploaded to PyPI.

Manylinux wheels

Linux wheels are built using manylinux. These wheels should work out of the box for most of the distros (which use GNU C standard library) out there since they are built against an old version of glibc.

Supported Python versions

Windows:

There’s a build time limitation (AppVeyor open source builds may take max 1 hour) which restricts the supported Python versions to two (note: the performance is better nowadays, for example py33 and py34 could be added to appveyor.yml). As Python’s 2.x releases are slowly approaching legacy state, 2.7.x releases will be the only supported Python 2 versions on Windows. On Python 3 side, builds will be run only for the latest release.

However, if you wan’t to get some other versions, just fork this repo and change the dependencies.

Linux

Manylinux wheels are built for all the Python versions which are supported by the manylinux containers.

OS X

Currently built for Python 2.7 and 3.4.

I am trying to install opencv with python using pip install opencv-python but I am getting this error

ERROR: Command errored out with exit status 1:
   command: 'C:\Program Files\Python310\python.exe' 'C:\Users\gnara\AppData\Local\Temp\pip-standalone-pip-_33ltocw\__env_pip__.zip\pip' install --ignore-installed --no-user --prefix 'C:\Users\gnara\AppData\Local\Temp\pip-build-env-xl8kjguh\overlay' --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- setuptools wheel scikit-build cmake pip 'numpy==1.11.3; python_version=='"'"'3.5'"'"'' 'numpy==1.13.3; python_version=='"'"'3.6'"'"'' 'numpy==1.14.5; python_version=='"'"'3.7'"'"'' 'numpy==1.17.3; python_version>='"'"'3.8'"'"''
       cwd: None
  
ERROR: Could not find a version that satisfies the requirement opencv-python (from versions: 3.4.10.37, 3.4.11.39, 3.4.11.41, 3.4.11.43, 3.4.11.45, 3.4.13.47, 3.4.15.55, 4.3.0.38, 4.4.0.40, 4.4.0.42, 4.4.0.44, 4.4.0.46, 4.5.1.48, 4.5.3.56)
ERROR: No matching distribution found for opencv-python
WARNING: You are using pip version 21.2.3; however, version 21.2.4 is available.
You should consider upgrading via the 'C:\Program Files\Python310\python.exe -m pip install --upgrade pip' command.

Does Python 3.10 support OpenCV?

opencv-python does not install on Python 3.10 on macos #559.

How do I install Python and OpenCV on Windows 10?

We will be explaining the installation from source for Windows 10..

Step 1: Download OpenCV. ... .

Step 2: Download OpenCV-contrib. ... .

Step 3: Download and Install Visual Studio 2019 Community. ... .

Step 4: Install Python and C++ Development Environments in Visual Studio 2019. ... .

Step 5: Install CMake. ... .

Step 6: General CMake overview..

How do I import OpenCV into Python 3?

Start the Python shell by typing python3 and then hit enter. You will be inside the Python shell where you can execute your Python code. Import the cv2 package which is the name of the OpenCV module. Type “import cv2” and hit enter.

Can I install OpenCV on Windows?

In this tutorial, you will learn how to install OpenCV on Windows. This includes a complete guide to installation using prebuilt binaries. After completing this blog post, you will be able to install OpenCV on your Windows machine on your own. You will also be able to choose the method that will suit you the best.

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