我们从Python开源项目中，提取了以下3个代码示例，用于说明如何使用cv2.findCirclesGrid()。
def update(self,frame,events): if self.collect_new: img = frame.img status, grid_points = cv2.findCirclesGrid(img, (4,11), flags=cv2.CALIB_CB_ASYMMETRIC_GRID) if status: self.img_points.append(grid_points) self.obj_points.append(self.obj_grid) self.collect_new = False self.count -=1 self.button.status_text = "{:d} to go".format(self.count) if self.count<=0 and not self.calculated: self.calculate() self.button.status_text = '' if self.window_should_close: self.close_window() if self.show_undistortion: adjusted_k,roi = cv2.getOptimalNewCameraMatrix(cameraMatrix= self.camera_intrinsics[0], distCoeffs=self.camera_intrinsics[1], imageSize=self.camera_intrinsics[2], alpha=0.5,newImgSize=self.camera_intrinsics[2],centerPrincipalPoint=1) self.undist_img = cv2.undistort(frame.img, self.camera_intrinsics[0], self.camera_intrinsics[1],newCameraMatrix=adjusted_k)
def _get_circles(img, board, pattern): """ Get circle centers for a symmetric or asymmetric grid """ h = img.shape[0] w = img.shape[1] if len(img.shape) == 3 and img.shape[2] == 3: mono = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) else: mono = img flag = cv2.CALIB_CB_SYMMETRIC_GRID if pattern == Patterns.ACircles: flag = cv2.CALIB_CB_ASYMMETRIC_GRID mono_arr = numpy.array(mono) (ok, corners) = cv2.findCirclesGrid(mono_arr, (board.n_cols, board.n_rows), flags=flag) # In symmetric case, findCirclesGrid does not detect the target if it's turned sideways. So we try # again with dimensions swapped - not so efficient. # TODO Better to add as second board? Corner ordering will change. if not ok and pattern == Patterns.Circles: (ok, corners) = cv2.findCirclesGrid(mono_arr, (board.n_rows, board.n_cols), flags=flag) return (ok, corners) # TODO self.size needs to come from CameraInfo, full resolution
def _findSymmetricCircles(self, flags=cv2.CALIB_CB_SYMMETRIC_GRID): (didFindCorners, corners) = cv2.findCirclesGrid( self.img, self.opts['size'], flags=flags | cv2.CALIB_CB_CLUSTERING) return didFindCorners, corners
