2024-08-11 16:54:51 +02:00
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# Purpose
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- It was fun to mess around with :3
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- Making this public so cqql can also mess around with it
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# Dependencies
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- opencv-python
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- all of the image stuff
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- matplotlib
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- color lookup table
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- (numpy)
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- used internally by opencv, but part of stdlib
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# Running
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- python -m venv localvenv
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- ./localvenv/bin/pip install opencv-python
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- ./localvenv/bin/pip install matplotlib
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- ./localvenv/bin/python match.py
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# Modifications
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- If you have more/less images, change MAX global
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- If you want to test rotational stuff, uncomment the line in main
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- It is assumed that the shape is a darker shape on a ligher background
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- The image gets converted into grayscale and assumes
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- the shape has an intensity below 200
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- the background has an intensity above 200
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- Depending on how dissimilar the shapes are, NormUpperBound should be increased
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# Attributions
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- The test images were generated using
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- https://moonlit.technology/cqql/frost_patterns
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2024-08-11 21:08:05 +02:00
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# Build Blog
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- pandoc --standalone blog.md -o shape_matching.html --metadata title="Shape Matching"
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