Feature/adding training sources #5
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jmetzz
reviewed
Mar 27, 2021
| import cv2, os, multiprocessing | ||
| from tqdm import tqdm | ||
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| PATH = '/home/avsthiago/tese_thiago/thesis/thesis-deepbee/data/processed/human_test_set/size_220' |
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how about remove hard coded configuration?
Use https://pypi.org/project/environs/ instead.
| if not os.path.exists(path): | ||
| os.makedirs(path) | ||
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| PATH = '/home/avsthiago/tese_thiago/thesis/datasets/images_and_annotations/labels_one_file/train_test_val' |
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externalise configuration?
https://pypi.org/project/environs/
| max_x = p[1]+size if p[1]+size <= height else height | ||
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| roi = img[min_y:max_y,min_x:max_x] | ||
| #print(os.path.join(data[2],str(p[0])+'.JPG')) |
| img = cv2.imread(data[-2]) | ||
| size = int(data[-1] // 2) | ||
| for p in data[1]: | ||
| #print(p) |
| p2 = return_tuple_int(*line[6:8]) | ||
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| # TODO: fazer isso com uma normalização gaussiana | ||
| #noise_x = random.randint(-10, 10) |
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