Best Python code snippet using Airtest
template.py
Source:template.py
...12 """å½æ°åè½ï¼æ¾å°æä¼ç»æ."""13 # 第ä¸æ¥ï¼æ ¡éªå¾åè¾å
¥14 check_source_larger_than_search(im_source, im_search)15 # 第äºæ¥ï¼è®¡ç®æ¨¡æ¿å¹é
çç»æç©éµres16 res = _get_template_result_matrix(im_source, im_search)17 # 第ä¸æ¥ï¼ä¾æ¬¡è·åå¹é
ç»æ18 min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)19 h, w = im_search.shape[:2]20 # æ±åå¯ä¿¡åº¦:21 confidence = _get_confidence_from_matrix(im_source, im_search, max_loc, max_val, w, h, rgb)22 # æ±åè¯å«ä½ç½®: ç®æ ä¸å¿ + ç®æ åºå:23 # middle_point, rectangle = _get_target_rectangle(max_loc, w, h)24 # best_match = generate_result(middle_point, rectangle, confidence)25 # LOGGING.debug("threshold=%s, result=%s" % (threshold, best_match))26 # return best_match if confidence >= threshold else None27 print confidence28 return True if confidence >= threshold else None29def find_all_template(im_source, im_search, threshold=0.8, rgb=False, max_count=10):30 """æ ¹æ®è¾å
¥å¾çååæ°è®¾ç½®,è¿åææçå¾åè¯å«ç»æ."""31 # 第ä¸æ¥ï¼æ ¡éªå¾åè¾å
¥32 check_source_larger_than_search(im_source, im_search)33 # 第äºæ¥ï¼è®¡ç®æ¨¡æ¿å¹é
çç»æç©éµres34 res = _get_template_result_matrix(im_source, im_search)35 # 第ä¸æ¥ï¼ä¾æ¬¡è·åå¹é
ç»æ36 result = []37 h, w = im_search.shape[:2]38 while True:39 # æ¬æ¬¡å¾ªç¯ä¸,ååºå½åç»æç©éµä¸çæä¼å¼40 min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)41 # æ±åå¯ä¿¡åº¦:42 confidence = _get_confidence_from_matrix(im_source, im_search, max_loc, max_val, w, h, rgb)43 if confidence < threshold or len(result) > max_count:44 break45 # æ±åè¯å«ä½ç½®: ç®æ ä¸å¿ + ç®æ åºå:46 middle_point, rectangle = _get_target_rectangle(max_loc, w, h)47 one_good_match = generate_result(middle_point, rectangle, confidence)48 result.append(one_good_match)49 # å±è½å·²ç»ååºçæä¼ç»æ,è¿å
¥ä¸è½®å¾ªç¯ç»§ç»å¯»æ¾:50 cv2.floodFill(res, None, max_loc, (-1000,), max(max_val, 0), flags=cv2.FLOODFILL_FIXED_RANGE)51 return result if result else None52def _get_confidence_from_matrix(im_source, im_search, max_loc, max_val, w, h, rgb):53 """æ ¹æ®ç»æç©éµæ±åºconfidence."""54 # æ±åå¯ä¿¡åº¦:55 if rgb:56 # å¦ææé¢è²æ ¡éª,对ç®æ åºåè¿è¡BGRä¸ééæ ¡éª:57 img_crop = im_source[max_loc[1]:max_loc[1] + h, max_loc[0]: max_loc[0] + w]58 confidence = cal_rgb_confidence(img_crop, im_search)59 else:60 confidence = max_val61 return confidence62def _get_template_result_matrix(im_source, im_search):63 """æ±å模æ¿å¹é
çç»æç©éµ."""64 # ç°åº¦è¯å«: cv2.matchTemplate( )åªè½å¤çç°åº¦å¾çåæ°65 s_gray, i_gray = img_mat_rgb_2_gray(im_search), img_mat_rgb_2_gray(im_source)66 return cv2.matchTemplate(i_gray, s_gray, cv2.TM_CCOEFF_NORMED)67def _get_target_rectangle(left_top_pos, w, h):68 """æ ¹æ®å·¦ä¸è§ç¹å宽é«æ±åºç®æ åºå."""69 x_min, y_min = left_top_pos70 # ä¸å¿ä½ç½®çåæ :71 x_middle, y_middle = int(x_min + w / 2), int(y_min + h / 2)72 # å·¦ä¸(min,max)->å³ä¸(max,max)->å³ä¸(max,min)73 left_bottom_pos, right_bottom_pos = (x_min, y_min + h), (x_min + w, y_min + h)74 right_top_pos = (x_min + w, y_min)75 # ç¹å»ä½ç½®:76 middle_point = (x_middle, y_middle)...
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