import cv2 import numpy as np

filename = 'chessboard2.jpg' img = cv2.imread(filename) gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

find Harris corners

gray = np.float32(gray) dst = cv2.cornerHarris(gray,2,3,0.04) dst = cv2.dilate(dst,None) ret, dst = cv2.threshold(dst,0.01*dst.max(),255,0) dst = np.uint8(dst)

find centroids

ret, labels, stats, centroids = cv2.connectedComponentsWithStats(dst)

define the criteria to stop and refine the corners

criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.001) corners = cv2.cornerSubPix(gray,np.float32(centroids),(5,5),(-1,-1),criteria) print corners #here u can get corners check for more information follow the link...........http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_features_harris/py_features_harris.html

Now draw them

res = np.hstack((centroids,corners)) res = np.int0(res) img[res[:,1],res[:,0]]=[0,0,255] img[res[:,3],res[:,2]] = [0,255,0]

cv2.imwrite('subpixel5.png',img)

.

import cv2
import numpy as np
np
  
filename = 'chessboard2.jpg'
img = cv2.imread(filename)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
  
# find Harris corners
 
corners
gray = np.float32(gray)
dst = cv2.cornerHarris(gray,2,3,0.04)
dst = cv2.dilate(dst,None)
ret, dst = cv2.threshold(dst,0.01*dst.max(),255,0)
dst = np.uint8(dst)np.uint8(dst)
  
# find centroids
 
centroids
ret, labels, stats, centroids = cv2.connectedComponentsWithStats(dst)cv2.connectedComponentsWithStats(dst)
  
# define the criteria to stop and refine the corners
 
corners
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 100, 0.001)
corners = cv2.cornerSubPix(gray,np.float32(centroids),(5,5),(-1,-1),criteria)
print corners    #here u can get corners check for more information follow the link...........http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_features_harris/py_features_harris.html
 
link...........http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_features_harris/py_features_harris.html
# Now draw them
 
them
res = np.hstack((centroids,corners))
res = np.int0(res)
img[res[:,1],res[:,0]]=[0,0,255]
img[res[:,3],res[:,2]] = [0,255,0][0,255,0]
 cv2.imwrite('subpixel5.png',img)