gistfile1.txt

import cv2
import numpy as np
import time

img_rgb = cv2.imread(r'C:\Users\tester\Documents\scree2.png')
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(r'C:\Users\tester\Documents\dragob.png',0)
w, h = template.shape[::-1]

res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED)
threshold = 0.64
    
loc = np.where( res >= threshold)
pt = [(0,0)]
    
while not zip(*loc[::-1]):
    threshold = threshold - 0.02
    loc = np.where( res >= threshold)

counter = 1
print("threshold="+str(threshold))   
for pt2 in zip(*loc[::-1]):
    cv2.rectangle(img_rgb, pt2, (pt2[0] + w, pt2[1] + h), (0,0,255), 2)
    pt = pt2
    crop_img = img_rgb[pt[1]:(pt[1]+h), pt[0]:(pt[0]+w)]
    counter = counter + 1

cv2.imwrite("C:\\Users\\tester\\Documents\\res.png",crop_img)


img = cv2.imread(r'C:\Users\tester\Documents\res.png',1)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
height, width = gray.shape
edges = cv2.Canny(gray,height,width,apertureSize = 3)

ret,thresh = cv2.threshold(edges,250,150,0)
contours,hierarchy = cv2.findContours(thresh, 1, 2)

im = img.copy()
cntcounter = 0
for cnt in contours:
            cntcounter = cntcounter + 1
            print("here1")
            hull = cv2.convexHull(cnt,returnPoints = True)
            print("here2")
            while im is None:
                time.sleep(1)
            if im is not None:                
                print("here3")
                previousx = 0
                previousy = 0         
                for c in hull: 
		    if previousx != 0 and previousy != 0 and c[0][0] != 0 and c[0][1] != 0 and abs(previousy - c[0][1]) > 10 and abs(c[0][0] - previousx) > 1:    
                        while im is None:
                            time.sleep(1)
			cv2.line(im,(previousx,previousy),(c[0][0],c[0][1]),(0,255,0),2)
                        print("")
		    previousx = c[0][0]
		    previousy = c[0][1]



cv2.imwrite(r'C:\Users\tester\Documents\masda.png',im)


img = cv2.imread(r'C:\Users\tester\Documents\masda.png',1)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
height, width = gray.shape
edges = cv2.Canny(gray,height,width,apertureSize = 3)

ret,thresh = cv2.threshold(edges,250,150,0)
contours,hierarchy = cv2.findContours(thresh, 1, 2)

im = img.copy()
cntcounter = 0
for cnt in contours:
            cntcounter = cntcounter + 1
            print("here1")
            hull = cv2.convexHull(cnt,returnPoints = True)
            print("here2")
            while im is None:
                time.sleep(1)
            if im is not None:                
                print("here3")
                previousx = 0
                previousy = 0         
                for c in hull: 
		    if previousx != 0 and previousy != 0 and c[0][0] != 0 and c[0][1] != 0 and abs(previousy - c[0][1]) > 10 and abs(c[0][0] - previousx) > 1:    
                        while im is None:
                            time.sleep(1)
			cv2.line(im,(previousx,previousy),(c[0][0],c[0][1]),(0,255,0),2)
                        print("")
		    previousx = c[0][0]
		    previousy = c[0][1]



cv2.imwrite(r'C:\Users\tester\Documents\masda2.png',im)



img = cv2.imread(r'C:\Users\tester\Documents\masda2.png',1)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
height, width = gray.shape
edges = cv2.Canny(gray,height,width,apertureSize = 3)

ret,thresh = cv2.threshold(edges,250,150,0)
contours,hierarchy = cv2.findContours(thresh, 1, 2)

im = img.copy()
cntcounter = 0
for cnt in contours:
            cntcounter = cntcounter + 1
            print("here1")
            hull = cv2.convexHull(cnt,returnPoints = True)
            print("here2")
            while im is None:
                time.sleep(1)
            if im is not None:                
                print("here3")
                previousx = 0
                previousy = 0         
                for c in hull: 
		    if previousx != 0 and previousy != 0 and c[0][0] != 0 and c[0][1] != 0 and abs(previousy - c[0][1]) > 10 and abs(c[0][0] - previousx) > 1:    
                        while im is None:
                            time.sleep(1)
			cv2.line(im,(previousx,previousy),(c[0][0],c[0][1]),(0,255,0),2)
                        print("")
		    previousx = c[0][0]
		    previousy = c[0][1]



cv2.imwrite(r'C:\Users\tester\Documents\masda3.png',im)


img = cv2.imread(r'C:\Users\tester\Documents\masda3.png',1)
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
height, width = gray.shape
edges = cv2.Canny(gray,height,width,apertureSize = 3)

ret,thresh = cv2.threshold(edges,250,150,0)
contours,hierarchy = cv2.findContours(thresh, 1, 2)

im = img.copy()
cntcounter = 0
for cnt in contours:
            cntcounter = cntcounter + 1
            print("here1")
            hull = cv2.convexHull(cnt,returnPoints = True)
            print("here2")
            while im is None:
                time.sleep(1)
            if im is not None:                
                print("here3")
                previousx = 0
                previousy = 0         
                for c in hull: 
		    if previousx != 0 and previousy != 0 and c[0][0] != 0 and c[0][1] != 0 and abs(previousy - c[0][1]) > 10 and abs(c[0][0] - previousx) > 1:    
                        while im is None:
                            time.sleep(1)
			cv2.line(im,(previousx,previousy),(c[0][0],c[0][1]),(0,255,0),2)
                        print("")
		    previousx = c[0][0]
		    previousy = c[0][1]



cv2.imwrite(r'C:\Users\tester\Documents\masda4.png',im)