<reponame>ahmedosaka/HACKER_RANK
# import cv2
# import numpy as np

# img = cv2.imread('star0.png')
# img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# ret, thresh = cv2.threshold(img_gray, 127, 255,0)
# contours,hierarchy = cv2.findContours(thresh,2,1)
# cnt = contours[0]
# hull = cv2.convexHull(cnt,returnPoints = False)
# defects = cv2.convexityDefects(cnt,hull)

# for i in range(defects.shape[0]):
#     s,e,f,d = defects[i,0]
#     start = tuple(cnt[s][0])
#     end = tuple(cnt[e][0])
#     far = tuple(cnt[f][0])
#     cv2.line(img,start,end,[0,255,0],2)
#     cv2.circle(img,far,5,[0,0,255],-1)

# cv2.imshow('img',img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()



# import cv2
# import numpy as np

# img = cv2.imread('star0.png')
# img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# ret, thresh = cv2.threshold(img_gray, 127, 255,0)
# contours,hierarchy = cv2.findContours(thresh,2,1)
# cnt = contours[0]
# hull = cv2.convexHull(cnt,returnPoints = False)
# defects = cv2.convexityDefects(cnt,hull)

# for i in range(defects.shape[0]):
#     s,e,f,d = defects[i,0]
#     start = tuple(cnt[s][0])
#     end = tuple(cnt[e][0])
#     far = tuple(cnt[f][0])
#     cv2.line(img,start,end,[0,255,0],2)
#     cv2.circle(img,far,5,[0,0,255],-1)

# cv2.imshow('img',img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
# import cv2 # import numpy as np # img = cv2.imread('star0.png') # img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # ret, thresh = cv2.threshold(img_gray, 127, 255,0) # contours,hierarchy = cv2.findContours(thresh,2,1) # cnt = contours[0] # hull = cv2.convexHull(cnt,returnPoints = False) # defects = cv2.convexityDefects(cnt,hull) # for i in range(defects.shape[0]): #     s,e,f,d = defects[i,0] #     start = tuple(cnt[s][0]) #     end = tuple(cnt[e][0]) #     far = tuple(cnt[f][0]) #     cv2.line(img,start,end,[0,255,0],2) #     cv2.circle(img,far,5,[0,0,255],-1) # cv2.imshow('img',img) # cv2.waitKey(0) # cv2.destroyAllWindows()