60 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
			
		
		
	
	
			60 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			Python
		
	
	
		
			Executable File
		
	
	
	
	
#!/usr/bin/env python
 | 
						|
 | 
						|
import numpy as np
 | 
						|
import cv2
 | 
						|
import os
 | 
						|
from common import splitfn
 | 
						|
 | 
						|
USAGE = '''
 | 
						|
USAGE: calib.py [--save <filename>] [--debug <output path>] [--square_size] [<image mask>]
 | 
						|
'''
 | 
						|
 | 
						|
 | 
						|
 | 
						|
if __name__ == '__main__':
 | 
						|
    import sys, 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)
 | 
						|
        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)
 | 
						|
            path, name, ext = splitfn(fn)
 | 
						|
            cv2.imwrite('%s/%s_chess.bmp' % (debug_dir, name), 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))
 | 
						|
    print "RMS:", rms
 | 
						|
    print "camera matrix:\n", camera_matrix
 | 
						|
    print "distortion coefficients: ", dist_coefs.ravel()
 | 
						|
    cv2.destroyAllWindows()
 |