StreamParser.py 文件源码

def find_best_scale(self, feature, scene, min_scale=0.5, max_scale=1.0, scale_delta=0.03, min_corr=0.8):
        best_corr = 0
        best_scale = 0

        for scale in np.arange(min_scale, max_scale + scale_delta, scale_delta):
            scaled_feature = cv2.resize(feature, (0, 0), fx=scale, fy=scale)

            result = cv2.matchTemplate(scene, scaled_feature, cv2.TM_CCOEFF_NORMED)
            _, max_val, _, _ = cv2.minMaxLoc(result)

            if max_val > best_corr:
                best_corr = max_val
                best_scale = scale

        if best_corr > min_corr:
            return best_scale
        else:
            return None