image_feature_extraction
Fast-Poisson-Image-Editing
image_feature_extraction | Fast-Poisson-Image-Editing | |
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1 | 1 | |
0 | 227 | |
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0.0 | 0.0 | |
almost 3 years ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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image_feature_extraction
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Class or Functions?
It’s a little of both. You can check out https://github.com/giakou4/image_feature_extraction Each way I approach the issue, both ways seem correct to me. Classes seem a good way to organise but functions are easy for debugging.
Fast-Poisson-Image-Editing
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From molecular simulation to black hole rendering - Taichi-Lang makes life easier for digital content creators
Poisson Image Editing (Pérez et al) is a frequently cited paper. Trinkle23897 and shawnchan2014 implemented this classic algorithm with Taichi as the backend:
What are some alternatives?
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