Comments (4)
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.
from multitemplatematching-python.
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/
from multitemplatematching-python.
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!
from multitemplatematching-python.
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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Related Issues (10)
- Getting findMatches to work when a template doesn't fit the searchBox HOT 1
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- Problem with images HOT 2
- License HOT 5
- Feature request: Support 3D images HOT 1
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