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How to use _handle_three_good_points method in Airtest

Best Python code snippet using Airtest

sift.py

Source:sift.py

...23        else:24            middle_point, pypts, w_h_range = _handle_two_good_points(im_source, im_search, kp_src, kp_sch, good)25    elif len(good) == 3:26        # å¹éç¹å¯¹ä¸º3ï¼ååºç¹å¯¹ï¼æ±åºç®æ åºåï¼æ®æ¤ç®åºå¯ä¿¡åº¦ï¼27        origin_result = _handle_three_good_points(im_source, im_search, kp_src, kp_sch, good)28        if isinstance(origin_result, dict):29            return origin_result if ONE_POINT_CONFI >= threshold else None30        else:31            middle_point, pypts, w_h_range = _handle_three_good_points(im_source, im_search, kp_src, kp_sch, good)32    else:33        # å¹éç¹å¯¹ >= 4ä¸ªï¼ä½¿ç¨åç©éµæ å°æ±åºç®æ åºåï¼æ®æ¤ç®åºå¯ä¿¡åº¦ï¼34        middle_point, pypts, w_h_range = _many_good_pts(im_source, im_search, kp_sch, kp_src, good)35    # ç¬¬åæ¥ï¼æ ¹æ®è¯å«åºåï¼æ±åºç»æå¯ä¿¡åº¦ï¼å¹¶å°ç»æè¿è¡è¿å:36    # å¯¹è¯å«ç»æè¿è¡åçæ§æ ¡éª: å°äº5ä¸ªåç´ çï¼æèç¼©æ¾è¶è¿5åçï¼ä¸å¾è§ä¸ºä¸åæ³ç´æ¥raise.37    _target_error_check(w_h_range)38    # å°æªå¾åè¯å«ç»æç¼©æ¾å°å¤§å°ä¸è´,åå¤è®¡ç®å¯ä¿¡åº¦39    x_min, x_max, y_min, y_max, w, h = w_h_range40    target_img = im_source[y_min:y_max, x_min:x_max]41    resize_img = cv2.resize(target_img, (w, h))42    confidence = _cal_sift_confidence(im_search, resize_img, rgb=rgb)43    best_match = generate_result(middle_point, pypts, confidence)44    print("[aircv][sift] threshold=%s, result=%s" % (threshold, best_match))45    return best_match if confidence >= threshold else None...

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