Starting Computer Vision: Building OpenCV 3 and Python 3.6 on macOS
I recently acquired a book from PyImageSearch and started reading it. The bundle comes with an Ubuntu image that includes all essential computer vision libraries pre-installed. I would say the virtual machine was cool but "developer experience"-wise, it is not enough. The layer between the "real machine" and the "virtual machine" does not improve software development. Currently, I am still at the "beginner" chapter but I wanted to share how I built OpenCV 3 and Python 3.6 on my preferred environment (macOS).
Note: Most of the instructions will be taken from macOS: Install OpenCV 3 and Python 3.5.
Submitting a Package to PyPI
Python programmers are very familiar with
pip when installing open-source python packages.
But how do these packages really end up in our code?
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