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How to use _cal_scale method in ATX

Best Python code snippet using ATX

mixin.py

Source:mixin.py

...128        if not safe:129            raise errors.ImageNotFoundError('Image not gone %s' % (pattern,))130    # def touch(self, x, y):131    #     self.click(x, y)132    def _cal_scale(self, pattern=None):133        scale = 1.0134        resolution = (pattern and pattern.resolution) or self.resolution135        if resolution is not None:136            ow, oh = sorted(resolution)137            dw, dh = sorted(self.display)138            fw, fh = 1.0 * dw / ow, 1.0 * dh / oh139            # For horizontal screen, scale by Y (width)140            # For vertical screen, scale by X (height)141            scale = fw if self.rotation in (1, 3) else fh142        return scale143    @property144    def bounds(self):145        if self._bounds is None:146            return None147        return self._bounds * self._cal_scale()148    def match_all(self, pattern, threshold=None):149        pattern = self.pattern_open(pattern)150        search_img = pattern.image151        pattern_scale = self._cal_scale(pattern)152        if pattern_scale != 1.0:153            search_img = cv2.resize(search_img, (0, 0),154                                    fx=pattern_scale, fy=pattern_scale,155                                    interpolation=cv2.INTER_CUBIC)156        threshold = threshold or pattern.threshold or self.image_match_threshold157        screen = self.region_screenshot()158        screen = imutils.from_pillow(screen)159        points = ac.find_all_template(screen, search_img, threshold=threshold, maxcnt=10)160        return points161    def match(self, pattern, screen=None, rect=None, offset=None, threshold=None, method=None):162        pattern = self.pattern_open(pattern)163        search_img = pattern.image164        pattern_scale = self._cal_scale(pattern)165        if pattern_scale != 1.0:166            search_img = cv2.resize(search_img, (0, 0),167                                    fx=pattern_scale, fy=pattern_scale,168                                    interpolation=cv2.INTER_CUBIC)169        screen = screen or self.region_screenshot()170        threshold = threshold or pattern.threshold or self.image_match_threshold171        # handle offset if percent, ex (0.2, 0.8)172        dx, dy = offset or pattern.offset or (0, 0)173        dx = pattern.image.shape[1] * dx  # opencv object width174        dy = pattern.image.shape[0] * dy  # opencv object height175        dx, dy = int(dx * pattern_scale), int(dy * pattern_scale)176        # image match177        screen = imutils.from_pillow(screen)  # convert to opencv image178        if rect and isinstance(rect, tuple) and len(rect) == 4:...

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