cv.InitUndistortMap opencv 함수가 작동하지 않습니다. 내장 및 왜곡 행렬을 얻을 수 있지만이 값을 사용하여 이미지를 수정할 수는 없습니다. 이 오류가 발생합니다 :
cv.InitUndistortMap (camera_matrix, distortion_coefs, mapx, mapy) TypeError : 'cameraMatrix'인수는 CvMat 여야합니다. 나는 calibration
기능을 실행할 수 없습니다 CvMat카메라 보정 (cv.calibrateCamera 및 cv.InitUndistortMap)
import numpy as np
import cv2
import cv
import os
import sys, getopt
from glob import glob
def calibracion():
args, img_mask = getopt.getopt(sys.argv[1:], '', ['save=', 'debug=', 'square_size='])
args = dict(args)
img_mask = '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))
cv2.destroyAllWindows()
return camera_matrix, dist_coefs
if __name__ == '__main__':
camera_matrix = cv.CreateMat(3, 3, cv.CV_32FC1)
dist_coefs = cv.CreateMat(4, 1, cv.CV_32FC1)
camera_matrix , dist_coefs = calibracion()
print "camera matrix:\n", camera_matrix # intrinsic
print "distortion coefficients: ", dist_coefs # distortion
image=cv.LoadImage('dog.jpeg')
mapx = cv.CreateImage(cv.GetSize(image), cv.IPL_DEPTH_8U, 1)
mapy = cv.CreateImage(cv.GetSize(image), cv.IPL_DEPTH_8U, 1)
cv.InitUndistortMap(camera_matrix,dist_coefs,mapx,mapy)
t = cv.CloneImage(image)
cv.Remap(t, image, mapx, mapy)
cv.ShowImage('FOTO', t)
cv.WaitKey(0)