def calibrate(path: str, filter: str, nrows: int, ncols: int):
calibrator = Calibrator(1)
objp = np.zeros((nrows * ncols, 3), np.float32)
objp[:, :2] = np.mgrid[0:nrows, 0:ncols].T.reshape(-1, 2)
counter = 0
image_names = glob.glob(os.path.join(path, filter))
print(image_names)
for i in range(100):
for imname in glob.glob(os.path.join(path, filter)):
counter += 1
image = cv2.imread(imname, cv2.IMREAD_GRAYSCALE)
f, corners = cv2.findChessboardCorners(image, (nrows, ncols), None)
cv2.cornerSubPix(image, corners, (11, 11), (-1, -1),
(cv2.TERM_CRITERIA_EPS +
cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001))
print(counter)
calibrator.train(objp, np.squeeze(corners.astype(np.float64)))
