问斑点检测+前景检测

EN

import cv2

cap = cv2.VideoCapture('14.mp4')
ret, current_frame = cap.read()
previous_frame = current_frame

# Setup SimpleBlobDetector parameters.
params = cv2.SimpleBlobDetector_Params()

# Change blob detection thresholds
params.minThreshold = 200
params.maxThreshold = 255

params.minDistBetweenBlobs = 100

# Filter by Area.
params.filterByArea = True
params.minArea = 1200
params.maxArea = 40000

# Filter by Circularity
params.filterByCircularity = False
params.minCircularity = 0.1

# Filter by Convexity
params.filterByConvexity = False
params.minConvexity = 0.87

# Filter by Inertia
params.filterByInertia = True
params.minInertiaRatio = 0.02

# Create a detector with the parameters
detector = cv2.SimpleBlobDetector_create(params)

#Detect blobs
keypoints = detector.detect(current_frame)

while(cap.isOpened()):
    current_frame_gray = cv2.cvtColor(current_frame, cv2.COLOR_BGR2GRAY)
    previous_frame_gray = cv2.cvtColor(previous_frame, cv2.COLOR_BGR2GRAY)    

    frame_diff = cv2.absdiff(current_frame_gray,previous_frame_gray)

    im_with_keypoints = cv2.drawKeypoints(frame_diff, keypoints, np.array([]), (0,0,255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)

    cv2.imshow('frame diff ',im_with_keypoints )         
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

    previous_frame = current_frame.copy()
    ret, current_frame = cap.read()
    keypoints = detector.detect(current_frame)

cap.release()
cv2.destroyAllWindows()