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added imgpoints back

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Matt Venn 2014-02-13 07:44:29 +00:00
parent 2d33063a59
commit 7acd28fbea
1 changed files with 5 additions and 3 deletions
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doc/py_tutorials/py_calib3d/py_calibration/py_calibration.rst
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@ -79,6 +79,7 @@ So to find pattern in chess board, we use the function, **cv2.findChessboardCorn
.. seealso:: Instead of chess board, we can use some circular grid, but then use the function **cv2.findCirclesGrid()** to find the pattern. It is said that less number of images are enough when using circular grid.
Once we find the corners, we can increase their accuracy using **cv2.cornerSubPix()**. We can also draw the pattern using **cv2.drawChessboardCorners()**. All these steps are included in below code:
::
import numpy as np
@ -92,8 +93,9 @@ Once we find the corners, we can increase their accuracy using **cv2.cornerSubPi
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
# 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('*.jpg')
@ -109,15 +111,15 @@ Once we find the corners, we can increase their accuracy using **cv2.cornerSubPi
objpoints.append(objp)
cv2.cornerSubPix(gray,corners,(11,11),(-1,-1),criteria)
imgpoints.append(corners)
# Draw and display the corners
cv2.drawChessboardCorners(img, (7,6), corners,ret)
cv2.drawChessboardCorners(img, (7,6), corners2,ret)
cv2.imshow('img',img)
cv2.waitKey(500)
cv2.destroyAllWindows()
One image with pattern drawn on it is shown below:
.. image:: images/calib_pattern.jpg