Last active
August 29, 2015 14:01
-
-
Save FreakTheMighty/c1b16e87002d924c0208 to your computer and use it in GitHub Desktop.
OpenCV Calibration Script
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python | |
import numpy as np | |
import cv2 | |
# built-in modules | |
import os | |
USAGE = ''' | |
https://github.com/Itseez/opencv/blob/master/samples/python2/calibrate.py | |
USAGE: calib.py [--save <filename>] [--debug <output path>] [--square_size] [<image mask>] | |
''' | |
if __name__ == '__main__': | |
import sys | |
import getopt | |
from glob import glob | |
args, img_mask = getopt.getopt(sys.argv[1:], '', ['save=', 'debug=', 'square_size=']) | |
args = dict(args) | |
try: | |
img_mask = img_mask[0] | |
except: | |
img_mask = '../cpp/left*.jpg' | |
img_names = glob(img_mask) | |
debug_dir = args.get('--debug') | |
square_size = float(args.get('--square_size', 1.0)) | |
pattern_size = (9, 6) | |
pattern_points = np.zeros( (np.prod(pattern_size), 3), np.float32 ) | |
pattern_points[:,:2] = np.indices(pattern_size).T.reshape(-1, 2) | |
pattern_points *= square_size | |
obj_points = [] | |
img_points = [] | |
h, w = 0, 0 | |
for fn in img_names: | |
print 'processing %s...' % fn, | |
img = cv2.imread(fn, 0) | |
if img is None: | |
print "Failed to load", fn | |
continue | |
h, w = img.shape[:2] | |
found, corners = cv2.findChessboardCorners(img, pattern_size) | |
if found: | |
term = ( cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_COUNT, 30, 0.1 ) | |
cv2.cornerSubPix(img, corners, (5, 5), (-1, -1), term) | |
if debug_dir: | |
vis = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) | |
cv2.drawChessboardCorners(vis, pattern_size, corners, found) | |
cv2.imwrite('%s/flat_chess.bmp' % (debug_dir), vis) | |
if not found: | |
print 'chessboard not found' | |
continue | |
img_points.append(corners.reshape(-1, 2)) | |
obj_points.append(pattern_points) | |
print 'ok' | |
rms, camera_matrix, dist_coefs, rvecs, tvecs = cv2.calibrateCamera(obj_points, img_points, (w, h), None, None) | |
print "RMS:", rms | |
print "camera matrix:\n", camera_matrix | |
print "distortion coefficients: ", dist_coefs.ravel() | |
cv2.destroyAllWindows() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment