App Name: OpenCV - Version: latest version 2022 - CPU Support: 64 and 32 bit Description: Open Source Computer Vision Library, designed for computational efficiency and with a strong focus on real-time applications. advertisement
Download and Install GuideHow to download and install OpenCV on Windows 11?
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Uninstall GuideHow to uninstall (remove) OpenCV from Windows 11?
We recommend using Anaconda with Python 3 for the homework assignments. The instruction to install anaconda and Python 3 can be found at http://docs.anaconda.com/anaconda/install/linux/. Below is a short tutorial to install the experiment system on the PSU Linux lab machines and on a regular Windows machine. Note, we highly recommend that the homework assignments are completed on a Linux machine and will grade your assignments on Linux only. Linux: 1. Install anaconda: wget https://repo.continuum.io/archive/Anaconda3-2018.12-Linux-x86_64.sh 2. Install necessary libraries: 1. Download and install anaconda environment Python 3.7:
2. Open Anaconda Prompt
3. In Anaconda Prompt, type commands to install necessary libraries: pip install
opencv-python==3.4.2.17
4. Run your python program
OpenCV on WheelsPre-built CPU-only OpenCV packages for Python. Check the manual build section if you wish to compile the bindings from source to enable additional modules such as CUDA. Installation and Usage
Frequently Asked QuestionsQ: Do I need to install also OpenCV separately? A: No, the packages are special wheel binary packages and they already contain statically built OpenCV binaries. Q: Pip install fails with Since Q: Import fails on Windows: A: If the import fails on Windows, make sure you have Visual C++ redistributable 2015 installed. If you are using older Windows version than Windows 10 and latest system updates are not installed, Universal C Runtime might be also required. Windows N and KN editions do not include Media Feature Pack which is required by OpenCV. If you are using Windows N or KN edition, please install also Windows Media Feature Pack. If you have Windows Server 2012+, media DLLs are probably missing too; please install the Feature called "Media Foundation" in the Server Manager. Beware, some posts advise to install "Windows Server Essentials Media Pack", but this one requires the "Windows Server Essentials Experience" role, and this role will deeply affect your Windows Server configuration (by enforcing active directory integration etc.); so just installing the "Media Foundation" should be a safer choice. If the above does not help, check if you are using Anaconda. Old Anaconda versions have a bug which causes the error, see this issue for a manual fix. If you still encounter the error after you have checked all the previous solutions, download Dependencies and open the Q: I have some other import errors? A: Make sure you have removed old manual installations of OpenCV Python bindings (cv2.so or cv2.pyd in site-packages). Q: Function foo() or method bar() returns wrong result, throws exception or crashes interpreter. What should I do? A: The repository contains only OpenCV-Python package build scripts, but not OpenCV itself. Python bindings for OpenCV are developed in official OpenCV repository and it's the best place to report issues. Also please check {OpenCV wiki](https://github.com/opencv/opencv/wiki) and the official OpenCV forum before file new bugs. Q: Why the packages do not include non-free algorithms? A: Non-free algorithms such as SURF are not included in these packages because they are patented / non-free and therefore cannot be distributed as built binaries. Note that SIFT is included in the builds due to patent expiration since OpenCV versions 4.3.0 and 3.4.10. See this issue for more info: https://github.com/skvark/opencv-python/issues/126 Q: Why the package and import are different (opencv-python vs. cv2)? A: It's easier for users to understand Documentation for opencv-python
The aim of this repository is to provide means to package each new OpenCV release for the most used Python versions and platforms. CI build processThe project is structured like a normal Python package with a standard
Steps 1--4 are handled by The build can be customized with environment variables. In addition to any variables that OpenCV's build accepts, we recognize:
See the next section for more info about manual builds outside the CI environment. Manual buildsIf some dependency is not enabled in the pre-built wheels, you can also run the build locally to create a custom wheel.
Manual debug buildsIn order to build
If you would like the build produce all compiler commands, then the following combination of flags and environment variables has been tested to work on Linux:
See this issue for more discussion: https://github.com/opencv/opencv-python/issues/424 Source distributionsSince OpenCV version 4.3.0, also source distributions are provided in PyPI. This means that if your system is not
compatible with any of the wheels in PyPI, You can also force
If you need contrib modules or headless version, just change the package name (step 4 in the previous section is not needed). However, any additional CMake flags can be provided via environment variables as described in step 3 of the manual build section. If none are provided, OpenCV's CMake scripts will attempt to find and enable any suitable dependencies. Headless distributions have hard coded CMake flags which disable all possible GUI dependencies. On slow systems such as Raspberry Pi the full build may take several hours. On a 8-core Ryzen 7 3700X the build takes about 6 minutes. LicensingOpencv-python package (scripts in this repository) is available under MIT license. OpenCV itself is available under Apache 2 license. Third party package licenses are at LICENSE-3RD-PARTY.txt. All wheels ship with FFmpeg licensed under the LGPLv2.1. Non-headless Linux wheels ship with Qt 5 licensed under the LGPLv3. The packages include also other binaries. Full list of licenses can be found from LICENSE-3RD-PARTY.txt. Versioning
ReleasesA 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:
The master branch follows OpenCV master branch releases. 3.4 branch follows OpenCV 3.4 bugfix releases. Development buildsEvery commit to the master branch of this repo will be built. Possible build artifacts use local version identifiers:
These artifacts can't be and will not be uploaded to PyPI. Manylinux wheelsLinux wheels are built using manylinux2014. 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. The default Supported Python versionsPython 3.x compatible pre-built wheels are provided for the officially supported Python versions (not in EOL):
Backward compatibilityStarting from 4.2.0 and 3.4.9 builds the macOS Travis build environment was updated to XCode 9.4. The change effectively dropped support for older than 10.13 macOS versions. Starting from 4.3.0 and 3.4.10 builds the Linux build environment was updated from Can I install OpenCV on Windows?Download OpenCV source. It can be from Sourceforge (for official release version) or from Github (for latest source). Extract it to a folder, opencv and create a new folder build in it.
Can I pip install OpenCV?OpenCV can be installed using pip. The following command is run in the command prompt to install OpenCV. This command will start downloading and installing packages related to the OpenCV library. Once done, the message of successful installation will be displayed.
Does python 3.10 support OpenCV?opencv-python does not install on Python 3.10 on macos #559.
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