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Last Commit
5c57a27d
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color extraction using for loop, tc/ directory
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| .ipynb_checkpoints | Loading commit data... | |
| __pycache__ | Loading commit data... | |
| res | Loading commit data... | |
| README.md | Loading commit data... | |
| Untitled.ipynb | Loading commit data... | |
| color_conversion.py | Loading commit data... | |
| color_extraction.py | Loading commit data... | |
| color_visualization.py | Loading commit data... | |
| detect_face.py | Loading commit data... | |
| dominant_colors.py | Loading commit data... | |
| get_std_from_xls.py | Loading commit data... | |
| getjson.py | Loading commit data... | |
| jsontest.py | Loading commit data... | |
| main.py | Loading commit data... | |
| plot_std.py | Loading commit data... | |
| shape_predictor_68_face_landmarks.dat | Loading commit data... | |
| temp.py | Loading commit data... | |
| temp2.py | Loading commit data... | |
| tone_analysis.py | Loading commit data... |
Personal color diagnosis
detect_face.py with shape_predictor_68_face_landmarks.dat has DetectFace class, and it provides face detection function, the exact face parts, and the coordinates of them.
dominant_colors.py has DominantColors class, and it provides the dominant colors by k-means algorithm, with RGB values.
