How to use _find_keypoint_result_in_predict_area method in Airtest

Best Python code snippet using Airtest

cv.py

Source:cv.py

...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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