OpenCV 2.4.9 for Python, cannot find chessboard (camera calibration tutorial)
Just for other Python newbies that may go down this road. Working code:
import numpy as np
import cv2
import glob
# termination criteria
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
# Arrays to store object points and image points from all the images.
imgpoints = [] # 2d points in image plane.
images = glob.glob('*.png')
for fname in images:
img = cv2.imread(fname)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret = False
# Find the chess board corners
ret, corners = cv2.findChessboardCorners(gray, (7,7))
# If found, add object points, image points (after refining them)
if ret == True:
cv2.cornerSubPix(gray, corners, (11,11), (-1,-1), criteria)
imgpoints.append(corners)
# Draw and display the corners
cv2.drawChessboardCorners(img, (7,7), corners, ret)
cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Two main points:
You have to carefully count dimension of you pattern. (7,7) is for usual chessboard.
Line
img = cv2.drawChessboardCorners(img, (7,6), corners2,ret)
doesn't work, you have to change it tocv2.drawChessboardCorners(img, (7,6), corners2,ret)
(function doesn't return image).
Thanks to AldurDisciple!
dd210
Updated on June 05, 2022Comments
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dd210 about 2 years
I am trying to calibrate camera using OpenCV tools according to the following this guide.
The problem is that function
findChessboardCorners
cannot find any chessboard on images I tried. I used a lot of them - even just plain chessboard pattern. In any case, nothing was detected.Here is the code (almost the same as from link above):
import numpy as np import cv2 import glob # termination criteria criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001) # prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0) objp = np.zeros((6*7,3), np.float32) objp[:,:2] = np.mgrid[0:7,0:6].T.reshape(-1,2) # Arrays to store object points and image points from all the images. objpoints = [] # 3d point in real world space imgpoints = [] # 2d points in image plane. images = glob.glob('*.png') for fname in images: img = cv2.imread(fname) gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # Find the chess board corners ret, corners = cv2.findChessboardCorners(gray, (7,6),None) # If found, add object points, image points (after refining them) if ret == True: objpoints.append(objp) corners2 = cv2.cornerSubPix(gray,corners,(11,11),(-1,-1),criteria) imgpoints.append(corners2) # Draw and display the corners img = cv2.drawChessboardCorners(img, (7,6), corners2,ret) cv2.imshow('img',img) cv2.waitKey(500) cv2.destroyAllWindows()
The only change I made is that i switched from .jpg files to .png files - for some reason, function imread cannot read jpg images (that's another strange problem for other topic).
Thank you in advance for advices!
Image ref: