I am trying to create a simple trackbar to test some edge detection, and I've been following the official opencv tutorial from here in Python. When I run the code, the window is created and I can see the sliders, but when I click the sliders, the kernel crashes.
I tried this with some other code example from the internet and it crashed then as well. Basically the moment I click in the region of the slider, the kernel crashes. I know that one thing you seem to need to do in macs is increase the waitKey time and I did do that.
How can I make this work?
def canny_threshold(low_val, src, src_gray):
low_threshold = low_val
img_blur = cv.blur(src_gray, (3,3))
detected_edges = cv.Canny(img_blur, low_threshold, low_threshold * RATIO)
mask = detected_edges != 0
dst = src * (mask[:,:, None].astype(src.dtype))
return dst
src = cv.imread("magpie_house.jpeg")
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
def nothing(x):
pass
cv.namedWindow(WINDOW_NAME)
cv.startWindowThread()
cv.createTrackbar(TITLE_TRACK_BAR, WINDOW_NAME, 0, MAX_LOW_THRESHOLD, nothing)
cv.setTrackbarPos(TITLE_TRACK_BAR, WINDOW_NAME, 50)
while True:
COUNTER += 1
if COUNTER >= 700:
break
low_val = cv.getTrackbarPos(TITLE_TRACK_BAR, WINDOW_NAME)
dst = canny_threshold(low_val, src, src_gray)
cv.imshow(WINDOW_NAME, dst)
if cv.waitKey(10) & 0xFF == ord("q"):
break
cv.waitKey(1)
cv.destroyAllWindows()
