40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
import os
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from cvzone.HandTrackingModule import HandDetector
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import cv2
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def crop_hand(img, detector, offset=50):
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hands, det_img = detector.findHands(img.copy())
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offset = int((img.shape[0] + img.shape[1]) * 0.1)
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if hands:
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hand = hands[0]
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x, y, w, h = hand['bbox']
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img_crop = img[max(0, y - offset):min(y + h + offset, img.shape[0]), max(0, x - offset):min(x + w + offset, img.shape[1])]
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return img_crop
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return img
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def main():
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input_path = "test_data"
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output_path = "test_data_cropped"
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dir_list = os.listdir(input_path)
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detector = HandDetector(maxHands=1, mode=True, detectionCon=0.7, minTrackCon=0.8)
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for sign in dir_list:
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if not os.path.exists(output_path + '/' + sign):
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os.mkdir(output_path + '/' + sign)
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for img_name in os.listdir(input_path + '/' + sign):
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file_path = input_path + '/' + sign + '/' + img_name
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output_file_path = output_path + '/' + sign + '/cropped_' + img_name
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img = cv2.imread(file_path)
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img_crop = crop_hand(img, detector)
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try:
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cv2.imwrite(output_file_path, img_crop)
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except:
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cv2.imwrite(output_file_path, img)
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if __name__ == "__main__":
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main()
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