I am trying to run this opencv code to run otsu tresh on my image and get mask
import cv2
import numpy as np
video = cv2.VideoCapture('video.mp4')
# loop runs if capturing has been initialized
while True:
# reads frames from a camera
ret, frame = video.read()
original = frame.copy()
mask = np.zeros(frame.shape, dtype=np.uint8)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5))
opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel, iterations=3)
cnts = cv2.findContours(opening, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
cnts = sorted(cnts, key=cv2.contourArea, reverse=True)
for c in cnts:
cv2.drawContours(mask, [c], -1, (255,255,255), -1)
break
close = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel, iterations=4)
close = cv2.cvtColor(close, cv2.COLOR_BGR2GRAY)
result = cv2.bitwise_and(original, original, mask=close)
result[close==0] = (255,255,255)
cv2.imshow('result', result)
video.release()
# De-allocate any associated memory usage
cv2.destroyAllWindows()
This is giving me a weird frame window like below
Nothing happens for about 20 seconds until it warns me the program will crash. The only output I get is
Killed
This is how the image looks like:
What is causing this and how do I fix it?
You are missing cv2.waitKey()
. Put this after cv2.imshow()
cv2.imshow('result', result)
cv2.waitKey(0)
video.release()