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Since opencvpython version 4.3.0.*, manylinux1 wheels were replaced by manylinux2014 wheels. If your pip is too old, it will try to use the new source distribution introduced in 4.3.0.38 to manually
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Python OpenCV on Mac refers to the usage of the OpenCV library with Python programming language on macOS operating systems, enabling computer vision and image processing tasks.
There is no requirement to file anything specifically named Python OpenCV for Mac as it is a software library. Users interested in utilizing OpenCV with Python on Mac are those who are working on projects that involve computer vision.
To work with Python OpenCV on Mac, you typically need to install the OpenCV library through package managers like pip and set up an appropriate development environment. There is no form to fill out.
The purpose of Python OpenCV on Mac is to provide developers with tools and functions to perform image processing, computer vision, and machine learning tasks by utilizing the capabilities of the OpenCV library.
As a software library, Python OpenCV does not require any reporting of information. Users can utilize the library according to their project needs without formal reporting.
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