OpenCV 3 Computer Vision with Python Cookbook

How to do it

You need to complete the following steps:

1. Import the necessary modules:

import cv2import numpy as np

2. Load the camera matrix and distortion coefficients for our camera:

camera_matrix = np.load('../data/pinhole_calib/camera_mat.npy')dist_coefs = np.load('../data/pinhole_calib/dist_coefs.npy')

3. Open a photo of a chessboard taken by the camera, and find and refine the corners:

img = cv2.imread('../data/pinhole_calib/img_00.png')pattern_size = (10, 7)res, corners = cv2.findChessboardCorners(img, pattern_size)criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 1e-3)corners = cv2.cornerSubPix(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY),                            corners, (10, 10), (-1,-1), criteria)

4. Undistort the corner's coordinates and turn ...