#displaying image
cv2.namedWindow("img",cv2.WINDOW_AUTOSIZE)
cv2.imshow("img",img)
cv2.waitKey(0)
#creating grid and finding objects
dirg = gr.grid(img,32)
for i in range(1):
blobs = dirg.locate(img)
for blob in blobs:
print "pt, area: ",blob.pt,blob.area()
blobs = bl.ordered(blobs)
print " "
for blob in blobs:
print "pt, area: ",blob.pt,blob.area()
for blob in blobs:
blob.mark(img)
#displaying image
cv2.imshow("img",img)
cv2.waitKey(0)
dirg.add(blobs)
dirg.det(img)
if frame is None: break #equalizing histogram TODO: find another function #hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) #h, s, v = cv2.split(hsv) #v = cv2.equalizeHist(v) #hsv = cv2.merge([h,s,v]) #frame2 = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR) #converting to HSV and thresholding frame2 = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV) frame2 = cv2.inRange(frame2,lower,upper) #finding ordered blobs blobs = bl.ordered(dirg.locate(frame2)) #marking them in image for blob in blobs: blob.mark(frame2) #adding points to container dirg.add(blobs) #checking integrity of image if frame is None: break #finding x coordinate of definitive object x = dirg.det() #marking a line on it frame2[:,x] = 255 #refreshing container
