import math import cv2 class Scaling: def __call__(self, result): if result['keypoint'] in ['waistband', 'shoulder', 'head_point']: # milvus_db_keypoint_cache distance_clo = math.sqrt( (int(result['clothes_keypoint'][result['keypoint'] + '_left'][0]) - int(result['clothes_keypoint'][result['keypoint'] + '_right'][0])) ** 2 + (int(result['clothes_keypoint'][result['keypoint'] + '_left'][1]) - int(result['clothes_keypoint'][result['keypoint'] + '_right'][1])) ** 2 ) distance_bdy = math.sqrt( (int(result['body_point_test'][result['keypoint'] + '_left'][0]) - int(result['body_point_test'][result['keypoint'] + '_right'][0])) ** 2 + 1 ) if distance_clo == 0: result['scale'] = 1 else: result['scale'] = distance_bdy / distance_clo elif result['keypoint'] == 'toe': distance_bdy = math.sqrt( (int(result['body_point_test']['foot_length'][0]) - int(result['body_point_test']['foot_length'][2])) ** 2 + (int(result['body_point_test']['foot_length'][1]) - int(result['body_point_test']['foot_length'][3])) ** 2 ) Blur = cv2.GaussianBlur(result['gray'], (3, 3), 0) Edge = cv2.Canny(Blur, 10, 200) Edge = cv2.dilate(Edge, None) Edge = cv2.erode(Edge, None) Contour, _ = cv2.findContours(Edge, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) Contours = sorted(Contour, key=cv2.contourArea, reverse=True) Max_contour = Contours[0] x, y, w, h = cv2.boundingRect(Max_contour) width = w distance_clo = width result['scale'] = distance_bdy / distance_clo elif result['keypoint'] == 'hand_point': result['scale'] = result['scale_bag'] elif result['keypoint'] == 'ear_point': result['scale'] = result['scale_earrings'] return result