So far this is what I have..
import cv2
list1=[]
img=cv2.imread("sudoku.jpg")
C,H,W = img.shape[::-1]
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray,47,255,cv2.THRESH_BINARY) # filter out background noise
_, contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
for i in range(len(contours)): #for loop necessary to contour multiple boxes
perimeter=cv2.arcLength(contours[i],True)
if perimeter < 240 and perimeter > 150: #got these values by experimenting to find values that contour boxes but not the numbers within
#cv2.drawContours(img, contours, i, (0,255,0), 2)
list1.append(i)
#crop_img = img[0:61, 0:61]
for x in list1:
M=cv2.moments(contours[x])
cx = int(M["m10"]/M["m00"])
cy = int(M["m01"]/M["m00"])
cropped = img[cy-30:cy+30,cx-30:cx+29]
w,h,c = cropped.shape
for i in range (10):
template = cv2.imread("no"+str(i)+".png")
result = cv2.matchTemplate(cropped, template, cv2.TM_CCOEFF)
min_val,max_val,min_loc,max_loc = cv2.minMaxLoc(result)
if(max_val > 0.9):
grid1.append(i)
print grid1
cv2.imshow("img",cropped)
cv2.waitKey(0)
cv2.destroyAllWindows()
Everything works fine as far as
cropped = img[cy-30:cy+30,cx-30:cx+29]
and running this returns a cropped image of the top left cell of my Sudoku puzzle. However when I try to apply this to the rest of the puzzle via template matching, I get the following error: Error
I've googled the error but have been unable to resolve the problem. I think it may have to do with the version of Python I am using(2.7). Any help with getting the program to apply template matching and extract all cells would be greatly appreciated as I am pretty new to Opencv and image processing in general
Thanks
