diff --git a/doc/py_tutorials/py_calib3d/py_calibration/py_calibration.rst b/doc/py_tutorials/py_calib3d/py_calibration/py_calibration.rst
index e24d478c16..9a6a7dfe81 100644
--- a/doc/py_tutorials/py_calib3d/py_calibration/py_calibration.rst
+++ b/doc/py_tutorials/py_calib3d/py_calibration/py_calibration.rst
@@ -79,7 +79,6 @@ So to find pattern in chess board, we use the function, **cv2.findChessboardCorn
 .. seealso:: Instead of chess board, we can use some circular grid, but then use the function **cv2.findCirclesGrid()** to find the pattern. It is said that less number of images are enough when using circular grid.
 
 Once we find the corners, we can increase their accuracy using **cv2.cornerSubPix()**. We can also draw the pattern using **cv2.drawChessboardCorners()**. All these steps are included in below code:
-
 ::
 
     import numpy as np