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Basic image capture and manipulation with Python and OpenCV
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import cv2.cv as cv | |
import time | |
cv.NamedWindow('a', 1) | |
cv.NamedWindow('b', 1) | |
cv.NamedWindow('c', 1) | |
cv.NamedWindow('d', 1) | |
cap = cv.CaptureFromCAM(-1) | |
cv.SetCaptureProperty(cap, cv.CV_CAP_PROP_FRAME_HEIGHT, 240) | |
cv.SetCaptureProperty(cap, cv.CV_CAP_PROP_FRAME_WIDTH, 320) | |
frames = 0 | |
start_time = time.time() | |
while True: | |
frame = cv.QueryFrame(cap) | |
cv.ShowImage('a', frame) | |
# Convert to greyscale | |
grey = cv.CreateImage(cv.GetSize(frame), frame.depth, 1) | |
cv.CvtColor(frame, grey, cv.CV_RGB2GRAY) | |
cv.ShowImage('b', grey) | |
# Gaussian blur to remove noise | |
blur = cv.CreateImage(cv.GetSize(grey), cv.IPL_DEPTH_8U, grey.channels) | |
cv.Smooth(grey, blur, cv.CV_GAUSSIAN, 5, 5) | |
cv.ShowImage('c', blur) | |
# And do Canny edge detection | |
canny = cv.CreateImage(cv.GetSize(blur), blur.depth, blur.channels) | |
cv.Canny(blur, canny, 10, 100, 3) | |
cv.ShowImage('d', canny) | |
c = cv.WaitKey(50) | |
if c == 27: | |
exit(0) | |
# Apparently not supported for my cameras: | |
# print "FPS:", cv.GetCaptureProperty(cap, cv.CV_CAP_PROP_FPS) | |
print "Frame", frames | |
frames += 1 | |
if frames % 10 == 0: | |
currtime = time.time() | |
numsecs = currtime - start_time | |
fps = frames / numsecs | |
print "average FPS:", fps |
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What opencv version are you using?