Running this python code on the Raspery Pi will cause the pi to become unstable after a few hours. I think there is a memory leak or some resource not being freed. I'm very new to python.
#initialise pygame
pygame.init()
pygame.camera.init()
cam = pygame.camera.Camera("/dev/video0",(width,height))
cam.start()
....
# Read the image we have presaved as an alert image
# and convert it to greyscale and blur it
alertimage = cv2.imread('./alert/alert.jpg')
alertgray = cv2.cvtColor(alertimage, cv2.COLOR_RGBA2GRAY)
alertgray = cv2.GaussianBlur(alertgray, (21, 21), 0)
# Compare a given image to the saved image to and return true if
# they are the same
def IsAlert( image ):
global alertgray
gray = cv2.cvtColor(image, cv2.COLOR_RGBA2GRAY)
gray = cv2.GaussianBlur(gray, (21, 21), 0)
frameDelta = cv2.absdiff(alertgray, gray)
thresh = cv2.threshold(frameDelta, 40, 255, cv2.THRESH_BINARY)[1]
thresh = cv2.dilate(thresh, None, iterations=2)
(_, cnts, _) = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# loop over the contours
for c in cnts:
# if the contour is large enough
if cv2.contourArea(c) > 1600:
return 0
return 1
# Main loop ####################################################
while True:
# Get an image from tpygame and save it to ram disk
# im doing this beacuse I can't figure our how to convert
# pygame image to cv2 image so I save it and read it back
imageS = cam.get_image()
pygame.image.save(imageS,'/var/ramdsk/picture.jpg')
# Read the image I just saved
image = cv2.imread('/var/ramdsk/picture.jpg')
# Compare the image to a standard image that I have presaved
alert = IsAlert( image )
# Convert the image to grey and blur it
gray = cv2.cvtColor(image, cv2.COLOR_RGBA2GRAY)
gray = cv2.GaussianBlur(gray, (21, 21), 0)
if lastgray is None:
lastgray = gray
# See what has changed...
frameDelta = cv2.absdiff(lastgray, gray)
thresh = cv2.threshold(frameDelta, 40, 255, cv2.THRESH_BINARY)[1]
thresh = cv2.dilate(thresh, None, iterations=2)
(_, cnts, _) = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# loop over the contours
waschange = change
for c in cnts:
# if the contour is large enough
if cv2.contourArea(c) > 1600:
print "Area: ",cv2.contourArea(c)
change = change + 1
same = 0
break
# If the image is
if change == waschange:
same = same + 1
# If the image has settled after changing then it's time to
# capture it by moving the saved version to another directory
if (change > 0 and same > 3) or init == 0:
fileout = '/home/pi/Desktop/CamManager/clips_new/0x{}L-{}-{}.jpg'.format(mac,t,alert)
shutil.move('/var/ramdsk/picture.jpg',fileout)
change = 0
same = 0
init = 1
print "Saving New Still",fileout
lastgray = gray
cam.stop()
In a similar script I solved a problem with frame.truncate(0)
camera = picamera.PiCamera()
....
camera.capture(frame, format='bgr', use_video_port=True)
....
frame.truncate(0)
Sorry for posting so much code but I am not exactly sure where the resource leak is. After a few hours I can not open a new shell on the pi and I think it's because there aren't enough resources.
You can pinpoint/check memory leaks yourself , using the following tools:
The first tool to use is guppy/heapy
- which will track all objects inside Python's memory
For long-running systems, use dowser
- which allows live objects introspection
RAM usage is demystified with memory_profiler
See my presentation .
BTW, SO has quite a few entries explaining how to use above tools to track memory leaks (GIYF).
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