Trying to find a solution to cut down the start-up time for camera
I am now working on a image processing project using opencv with 6 cameras covering 360 degrees, connected to a raspberry pi 3 B+. I need to get a single still image from each camera on each rotation. To do this I open, read and close each camera on every 360 degree rotation. But it takes around 1.5 seconds for each camera to go through its starting sequence and a total time of 10+ seconds is way too long for my project. So I am looking for a solution that will cut down the start-up time for each camera to within 0.2 sec to get a still image from each camera on every rotation. Any ideas?
Below is a test code :
import cv2
import sys
print sys.argv
if len(sys.argv) < 2:
print "Usage : > python video.py [camno1] [camno2]"
sys.exit(0)
cam =
cap =
for i in range(len(sys.argv) - 1):
cam.append(int(sys.argv[i+1]))
cap.append(cv2.VideoCapture(cam[i]))
while True:
for i in range(len(cam)):
print "cam"+str(i)+" read"
ret, frame = cap[i].read()
if ret :
cv2.imshow("frame"+str(i), frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
for i in range(len(cam)):
cap[i].release()
cv2.destroyAllWindows()
usb python camera opencv
asked Jan 8 at 17:58
SimonSimon
1
migrated from askubuntu.com Jan 10 at 23:29
This question came from our site for Ubuntu users and developers.
add a comment |
I am now working on a image processing project using opencv with 6 cameras covering 360 degrees, connected to a raspberry pi 3 B+. I need to get a single still image from each camera on each rotation. To do this I open, read and close each camera on every 360 degree rotation. But it takes around 1.5 seconds for each camera to go through its starting sequence and a total time of 10+ seconds is way too long for my project. So I am looking for a solution that will cut down the start-up time for each camera to within 0.2 sec to get a still image from each camera on every rotation. Any ideas?
Below is a test code :
import cv2
import sys
print sys.argv
if len(sys.argv) < 2:
print "Usage : > python video.py [camno1] [camno2]"
sys.exit(0)
cam =
cap =
for i in range(len(sys.argv) - 1):
cam.append(int(sys.argv[i+1]))
cap.append(cv2.VideoCapture(cam[i]))
while True:
for i in range(len(cam)):
print "cam"+str(i)+" read"
ret, frame = cap[i].read()
if ret :
cv2.imshow("frame"+str(i), frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
for i in range(len(cam)):
cap[i].release()
cv2.destroyAllWindows()
usb python camera opencv
asked Jan 8 at 17:58
SimonSimon
1
migrated from askubuntu.com Jan 10 at 23:29
This question came from our site for Ubuntu users and developers.
add a comment |
I am now working on a image processing project using opencv with 6 cameras covering 360 degrees, connected to a raspberry pi 3 B+. I need to get a single still image from each camera on each rotation. To do this I open, read and close each camera on every 360 degree rotation. But it takes around 1.5 seconds for each camera to go through its starting sequence and a total time of 10+ seconds is way too long for my project. So I am looking for a solution that will cut down the start-up time for each camera to within 0.2 sec to get a still image from each camera on every rotation. Any ideas?
Below is a test code :
import cv2
import sys
print sys.argv
if len(sys.argv) < 2:
print "Usage : > python video.py [camno1] [camno2]"
sys.exit(0)
cam =
cap =
for i in range(len(sys.argv) - 1):
cam.append(int(sys.argv[i+1]))
cap.append(cv2.VideoCapture(cam[i]))
while True:
for i in range(len(cam)):
print "cam"+str(i)+" read"
ret, frame = cap[i].read()
if ret :
cv2.imshow("frame"+str(i), frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
for i in range(len(cam)):
cap[i].release()
cv2.destroyAllWindows()
usb python camera opencv
asked Jan 8 at 17:58
SimonSimon
1
I am now working on a image processing project using opencv with 6 cameras covering 360 degrees, connected to a raspberry pi 3 B+. I need to get a single still image from each camera on each rotation. To do this I open, read and close each camera on every 360 degree rotation. But it takes around 1.5 seconds for each camera to go through its starting sequence and a total time of 10+ seconds is way too long for my project. So I am looking for a solution that will cut down the start-up time for each camera to within 0.2 sec to get a still image from each camera on every rotation. Any ideas?
Below is a test code :
import cv2
import sys
print sys.argv
if len(sys.argv) < 2:
print "Usage : > python video.py [camno1] [camno2]"
sys.exit(0)
cam =
cap =
for i in range(len(sys.argv) - 1):
cam.append(int(sys.argv[i+1]))
cap.append(cv2.VideoCapture(cam[i]))
while True:
for i in range(len(cam)):
print "cam"+str(i)+" read"
ret, frame = cap[i].read()
if ret :
cv2.imshow("frame"+str(i), frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
for i in range(len(cam)):
cap[i].release()
cv2.destroyAllWindows()
usb python camera opencv
usb python camera opencv
asked Jan 8 at 17:58
SimonSimon
1
asked Jan 8 at 17:58
SimonSimon
1
asked Jan 8 at 17:58
SimonSimon
1
asked Jan 8 at 17:58
SimonSimon
1
asked Jan 8 at 17:58
SimonSimon
1
1
migrated from askubuntu.com Jan 10 at 23:29
This question came from our site for Ubuntu users and developers.
migrated from askubuntu.com Jan 10 at 23:29
This question came from our site for Ubuntu users and developers.
add a comment |
add a comment |
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