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dubielt1 avatar dubielt1 commented on September 27, 2024 1

I was able to successfully install, with a little googling.

Just download Python, add it to your path, then use pip install for each requirement, in order. So requirements1.txt then requirements2.txt.

For Numpy and SciPy, use these wheel packages here: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy

So for those two, cd into the directory where you downloaded them, then type pip install numpy-1.10.4+mkl-cp27-cp27m-win32.whl for example. The benefit of those packages is this: "Numpy+MKL is linked to the Intel® Math Kernel Library and includes required DLLs in the numpy.core directory"

pip install numpy/scipy failed for me on windows, it has something to do with that Intel library

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karelin avatar karelin commented on September 27, 2024 1

One more recommendation is to use Anaconda - the scientific Python distribution, which already contains all necessary libraries, though numpy/scipy will be without MKL (in free version).

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elgehelge avatar elgehelge commented on September 27, 2024

'source' is used when activating a virtual environment. On windows i think you have to run a 'bat' file instead.

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zuphilip avatar zuphilip commented on September 27, 2024

Alternatively you can use the docker container: https://hub.docker.com/r/kbai/ocropy/ resp. https://github.com/kba/docker-ocropy

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zuphilip avatar zuphilip commented on September 27, 2024

(FAQ links now here.)

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