How to use _cal_scale method in ATX

Best Python code snippet using ATX Github


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...128 if not safe:129 raise errors.ImageNotFoundError('Image not gone %s' % (pattern,))130 # def touch(self, x, y):131 #, 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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