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Advanced OpenCV 3 python hole detection
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import cv2 | |
import sys | |
import numpy as np | |
camera = cv2.VideoCapture("video.avi") | |
# Setup BlobDetector | |
detector = cv2.SimpleBlobDetector_create() | |
params = cv2.SimpleBlobDetector_Params() | |
# Filter by Area. | |
params.filterByArea = True | |
params.minArea = 20000 | |
params.maxArea = 40000 | |
# Filter by Circularity | |
params.filterByCircularity = True | |
params.minCircularity = 0.5 | |
# Filter by Convexity | |
params.filterByConvexity = False | |
#params.minConvexity = 0.87 | |
# Filter by Inertia | |
params.filterByInertia = True | |
params.minInertiaRatio = 0.8 | |
# Distance Between Blobs | |
params.minDistBetweenBlobs = 200 | |
# Create a detector with the parameters | |
detector = cv2.SimpleBlobDetector_create(params) | |
while camera.isOpened(): | |
retval, im = camera.read() | |
overlay = im.copy() | |
keypoints = detector.detect(im) | |
for k in keypoints: | |
cv2.circle(overlay, (int(k.pt[0]), int(k.pt[1])), int(k.size/2), (0, 0, 255), -1) | |
cv2.line(overlay, (int(k.pt[0])-20, int(k.pt[1])), (int(k.pt[0])+20, int(k.pt[1])), (0,0,0), 3) | |
cv2.line(overlay, (int(k.pt[0]), int(k.pt[1])-20), (int(k.pt[0]), int(k.pt[1])+20), (0,0,0), 3) | |
opacity = 0.5 | |
cv2.addWeighted(overlay, opacity, im, 1 - opacity, 0, im) | |
# Uncomment to resize to fit output window if needed | |
#im = cv2.resize(im, None,fx=0.5, fy=0.5, interpolation = cv2.INTER_CUBIC) | |
cv2.imshow("Output", im) | |
k = cv2.waitKey(1) & 0xff | |
if k == 27: | |
break | |
camera.release() | |
cv2.destroyAllWindows() |
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