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Comments (4)

LauLauThom avatar LauLauThom commented on May 25, 2024

Hi, thanks for finding this out,
You can force pip to ignore installing the packages defined as dependencies by using the --no-dependencies flag.
So like
pip install --no-dependencies Multi-Template-Matching

This should solve the installation issue.
Just make sure that the dependencies are already installed, or install them manually with the version of your choice.

		  'numpy',
		  'opencv-python-headless'
		  'scikit-image',
		  'scipy',
		  'pandas'

Can you let me know if Multi-Template-Matching works with this OpenCV version ?
Like you can run the example notebooks in the tutorial folder.
I think I will not mention versions in the setup.py used by pip and just mentioned them in requirements.txt just to have a reference of a working configuration somewhere.

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LauLauThom avatar LauLauThom commented on May 25, 2024

Apparently the issue can also be due to an old version of pip. You can try a
pip install --upgrade pip too

See FAQ at https://pypi.org/project/opencv-python-headless/4.1.0.25/

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stuartabrookes avatar stuartabrookes commented on May 25, 2024

Just tried manually installing the dependencies and I got it to work with the newer version of opencv (4.2.0.34). Thanks a lot for helping!

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LauLauThom avatar LauLauThom commented on May 25, 2024

Great, I published a new release that does not enforce a particular version of opencv. As far as I know MTM works will any version so far. Let see in the future.

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