How to use _find_keypoint_result_in_predict_area method in Airtest

Best Python code snippet using Airtest Github


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...153 def _imread(self):154 return aircv.imread(self.filepath)155 def _find_all_template(self, image, screen):156 return TemplateMatching(image, screen, threshold=self.threshold, rgb=self.rgb).find_all_results()157 def _find_keypoint_result_in_predict_area(self, func, image, screen):158 if not self.record_pos:159 return None160 # calc predict area in screen161 image_wh, screen_resolution = aircv.get_resolution(image), aircv.get_resolution(screen)162 xmin, ymin, xmax, ymax = Predictor.get_predict_area(self.record_pos, image_wh, self.resolution, screen_resolution)163 # crop predict image from screen164 predict_area = aircv.crop_image(screen, (xmin, ymin, xmax, ymax))165 if not predict_area.any():166 return None167 # keypoint matching in predicted area:168 ret_in_area = func(image, predict_area, threshold=self.threshold, rgb=self.rgb)169 # calc cv ret if found170 if not ret_in_area:171 return None...

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