OpenCV 4 with Python Blueprints - Second Edition

Finding the camera matrix

Once we have collected enough data (that is, once self.record_cnt reaches the value of self.record_min_num_frames), the algorithm is ready to perform the calibration. This process can be performed with a single call to cv2.calibrateCamera:

else:    print("Calibrating...")    ret, K, dist, rvecs, tvecs = cv2.calibrateCamera(self.obj_points,                                                     self.img_points,                                                     (self.imgHeight,                                                      self.imgWidth),                                                     None, None)

The function returns true on success (ret), the intrinsic camera matrix (K), the distortion coefficients (dist), as well as two rotation and translation matrices (rvecs and tvecs). For now, we are mainly interested in the camera matrix and the distortion coefficients, because these will allow us to compensate for any imperfections ...