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NVIDIA-AI-IOT
RuntimeError: Could not initialize camera
if your opencv is not installed with jetpack ,you should modified code in the file usb_camera.py, line 20
#self.cap = cv2.VideoCapture(self._gst_str(), cv2.CAP_GSTREAMER) self.cap = cv2.VideoCapture(self.capture_device)
then reinstall jetcam, camera should be OK
What is meant by "OpenCV" not installed with jetpack? I just installed jetpack 4.3, then added all the apt-get install Nvidia-jetpack modules. There are OpenCV items listed in there as being installed.
Adding the fix above allowed my capture to work, I'm not sure at what cost.
@beyondli your solution worked for me too. Interested like @mduaneh to know if this has any impact on performance? Seems fine on the surface. Thanks for this fix!
Trying to get basic demo (csi_camera) working and getting the same error. I am using Jetpack 4.4 on a Xavier NX, and have a Raspberry Pi v2 camera connected to cam0. Works fine with gstreamer from command-line (can see camera image and all).
Is openCV not installed with Jetpack anyway? Or are you saying there is a different version? Why the need to hack the source code?
I am also getting this error Im working through the
Getting Started with AI on Jetson Nano! course but the camera doesn't work in the container
!ls -ltrh /dev/video*
crw-rw---- 1 root video 81, 0 Nov 24 22:59 /dev/video0
from jetcam.csi_camera import CSICamera
camera = CSICamera(width=224, height=224, capture_device=0) # confirm the capture_device number
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/jetcam-0.0.0-py3.6.egg/jetcam/csi_camera.py in __init__(self, *args, **kwargs)
23 if not re:
---> 24 raise RuntimeError('Could not read image from camera.')
25 except:
RuntimeError: Could not read image from camera.
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
<ipython-input-6-b46e6557b315> in <module>
1 from jetcam.csi_camera import CSICamera
2
----> 3 camera = CSICamera(width=224, height=224, capture_device=0) # confirm the capture_device number
/usr/local/lib/python3.6/dist-packages/jetcam-0.0.0-py3.6.egg/jetcam/csi_camera.py in __init__(self, *args, **kwargs)
25 except:
26 raise RuntimeError(
---> 27 'Could not initialize camera. Please see error trace.')
28
29 atexit.register(self.cap.release)
RuntimeError: Could not initialize camera. Please see error trace.
When I try this, there is no error but the image is all one shade of green.
import cv2
cam = cv2.VideoCapture(0)
ret, frame = cam.read()
cv2.imwrite("test.png", frame)
However the camera does work with this
gst-launch-1.0 nvarguscamerasrc ! nvoverlaysink
➜ ~ v4l2-ctl -d /dev/video0 --list-formats-ext
ioctl: VIDIOC_ENUM_FMT
Index : 0
Type : Video Capture
Pixel Format: 'RG10'
Name : 10-bit Bayer RGRG/GBGB
Size: Discrete 3264x2464
Interval: Discrete 0.048s (21.000 fps)
Size: Discrete 3264x1848
Interval: Discrete 0.036s (28.000 fps)
Size: Discrete 1920x1080
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1640x1232
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1280x720
Interval: Discrete 0.017s (60.000 fps)
Size: Discrete 1280x720
Interval: Discrete 0.017s (60.000 fps)
Found solution
was missing -volume /tmp/argus_socket:/tmp/argus_socket
Found solution
was missing
-volume /tmp/argus_socket:/tmp/argus_socket
The solution for me was to append this command to the docker run:
-v /tmp/argus_socket:/tmp/argus_socket
Adding --volume /tmp/argus_socket:/tmp/argus_socket to docker run command definitely helped me trying to use IMX219 camera in a dli-nano jupiter.
Just for reference, my full docker command now is:
sudo docker run \
--runtime nvidia -it --rm --network host \
--volume ~/nvdli-data:/nvdli-nano/data \
--device /dev/video0 \
--volume /tmp/argus_socket:/tmp/argus_socket \
nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.5.0
I am trying to run the interactive_motion.py example for my jetracer kit. But
from jetcam.csi_camera import CSICamera
camera = CSICamera(width=224, height=224)
camera.running = True
Throws an error
RuntimeError Traceback (most recent call last) /usr/local/lib/python3.6/dist-packages/jetcam-0.0.0-py3.6.egg/jetcam/csi_camera.py in init(self, *args, **kwargs) 23 if not re: ---> 24 raise RuntimeError('Could not read image from camera.') 25 except:
RuntimeError: Could not read image from camera.
During handling of the above exception, another exception occurred:
RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/jetcam-0.0.0-py3.6.egg/jetcam/csi_camera.py in init(self, *args, **kwargs) 25 except: 26 raise RuntimeError( ---> 27 'Could not initialize camera. Please see error trace.') 28 29 atexit.register(self.cap.release)
RuntimeError: Could not initialize camera. Please see error trace.
Can you guys help me solve this error?
Did you find a solution? I am having the same issue. I'm running Jetpack 4.4.1 and have openCV version 4.1.1, so @anselanza's solution wasn't relevant
Adding
--volume /tmp/argus_socket:/tmp/argus_socketto docker run command definitely helped me trying to use IMX219 camera in a dli-nano jupiter. Just for reference, my full docker command now is:sudo docker run \ --runtime nvidia -it --rm --network host \ --volume ~/nvdli-data:/nvdli-nano/data \ --device /dev/video0 \ --volume /tmp/argus_socket:/tmp/argus_socket \ nvcr.io/nvidia/dli/dli-nano-ai:v2.0.1-r32.5.0
The course has been updated to include this but it is still throwing up an error for me even after including the
/tmp/argus_socket:/tmp/argus_socket
@hs2415 @Chaitanya-Mehta @japrogramer What does executing this statement : from jetcam.csi_camera import CSICamera camera = CSICamera(width=224, height=224) and execute this --volume /tmp/argus_socket:/tmp/argus_socket What does it matter?
