import os
from cvzone.HandTrackingModule import HandDetector
import cv2


def crop_hand(img, detector, offset=50):
    hands, det_img = detector.findHands(img.copy())
    offset = int((img.shape[0] + img.shape[1]) * 0.1)
    if hands:
        hand = hands[0]
        x, y, w, h = hand['bbox']
        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])]
        return img_crop
    return img


def main():
    input_path = "test_data"
    output_path = "test_data_cropped"
    dir_list = os.listdir(input_path)
    detector = HandDetector(maxHands=1, mode=True, detectionCon=0.7, minTrackCon=0.8)

    for sign in dir_list:
        if not os.path.exists(output_path + '/' + sign):
            os.mkdir(output_path + '/' + sign)
        for img_name in os.listdir(input_path + '/' + sign):
            file_path = input_path + '/' + sign + '/' + img_name
            output_file_path = output_path + '/' + sign + '/cropped_' + img_name

            img = cv2.imread(file_path)
            img_crop = crop_hand(img, detector)
            try:
                cv2.imwrite(output_file_path, img_crop)
            except:
                cv2.imwrite(output_file_path, img)


if __name__ == "__main__":
    main()