Created
October 27, 2020 18:54
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Python script to detect edges in a video stream
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import cv2 | |
import numpy as np | |
cap = cv2.VideoCapture('cafe.mp4') | |
if (cap.isOpened() == False): | |
print("Error opening Video stream or file") | |
fgbg = cv2.createBackgroundSubtractorMOG2( | |
history = 10, | |
varThreshold=2, | |
detectShadows = False | |
) | |
while (cap.isOpened()): | |
ret, frame = cap.read() | |
if ret == True: | |
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | |
edges_foreground = cv2.bilateralFilter(gray, 9, 75, 75) | |
foreground = fgbg.apply(edges_foreground) | |
kernel = np.ones((50, 50), np.uint8) | |
foreground = cv2.morphologyEx(foreground, cv2.MORPH_CLOSE, kernel) | |
edges_foreground = cv2.bilateralFilter(gray, 9, 75, 75) | |
edges_filtered = cv2.Canny(edges_foreground, 60, 120) | |
cropped = (foreground // 255) * edges_filtered | |
images = np.hstack((gray, edges_filtered, cropped)) | |
cv2.imshow('Frame', images) | |
if cv2.waitKey(25) & 0xFF == ord('q'): | |
break | |
else: | |
break | |
cap.release() | |
cv2.destroyAllWindows() | |
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