Porównanie z całym datasetem z twarzami oraz walidacja #4
25
main.py
25
main.py
@ -1,3 +1,4 @@
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import argparse
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import sys
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import cv2
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import numpy as np
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@ -72,7 +73,7 @@ def validate(test_set, anime_faces_set, metric='correlation'):
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all_entries = len(test_set['values'])
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correct = 0
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for test_image, test_label in zip(test_set['values'], test_set['labels']):
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output = get_top_results(compare_with_anime_characters(test_image), metric)[0]['name']
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output = get_top_results(compare_with_anime_characters(test_image, anime_faces_set), metric)[0]['name']
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if output == test_label:
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correct += 1
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@ -82,16 +83,22 @@ def validate(test_set, anime_faces_set, metric='correlation'):
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('-v', '--validate_only')
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args = parser.parse_args()
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anime_faces_set = load_data('data/images')
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# Uncomment for validation (takes a while)
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# test_set = load_data('test_set')
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# validate(test_set, anime_faces_set, 'structural-similarity')
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# validate(test_set, anime_faces_set, 'euclidean-distance')
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# validate(test_set, anime_faces_set, 'chi-square')
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# validate(test_set, anime_faces_set, 'correlation')
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# validate(test_set, anime_faces_set, 'intersection')
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# validate(test_set, anime_faces_set, 'bhattacharyya-distance')
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if args.validate_only:
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print('Validating')
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test_set = load_data('test_set')
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validate(test_set, anime_faces_set, 'structural-similarity')
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validate(test_set, anime_faces_set, 'euclidean-distance')
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validate(test_set, anime_faces_set, 'chi-square')
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validate(test_set, anime_faces_set, 'correlation')
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validate(test_set, anime_faces_set, 'intersection')
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validate(test_set, anime_faces_set, 'bhattacharyya-distance')
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exit(0)
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source = load_source('UAM-Andre.jpg')
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source_anime = transfer_to_anime(source)
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source_face_anime = find_and_crop_face(source_anime)
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