-
Where did you get the camera module(s)?
arducam-imx477-12mp-ptz-camera-for-raspberry-pi-4-3b-3-and-jetson-nano-xavier-nx-ir-cut-switchable-camera-with-metal-base-and-2-digital-servos -
Model number of the product(s)?
IMX477 PTZ series -
What hardware/platform were you working on?
Jetson Nano B01, Jetpack 4.6.1, LT4 ML container -
Instructions you have followed. (link/manual/etc.)
1) Install driver
2) Setting smbus
Run this code:
git clone https://www.github.com/arducam/MIPI_Camera.git
cd MIPI_Camera/Jetson/JetsonNano_PTZ/
python3 FocuserExample.py
Note: I am using container so use “python3” But driver install natively on the system not container. I have tried if camera detected by run this: ls /dev/video*
the output is /dev/video0
which mean camera is detected. Also I have run this command v4l2-ctl -d /dev/video0 --list-formats-ext
and the output as follows.
ioctl: VIDIOC_ENUM_FMT
Index : 0
Type : Video Capture
Pixel Format: 'RG10'
Name : 10-bit Bayer RGRG/GBGB
Size: Discrete 4032x3040
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 3840x2160
Interval: Discrete 0.033s (30.000 fps)
Size: Discrete 1920x1080
Interval: Discrete 0.017s (60.000 fps)
- Problems you were having?
I try to run the sample bypython3 FocuserExample.py
and got this error.
(Argus) Error FileOperationFailed: Connecting to nvargus-daemon failed: No such file or directory (in src/rpc/socket/client/SocketClientDispatch.cpp, function openSocketConnection(), line 205)
(Argus) Error FileOperationFailed: Cannot create camera provider (in src/rpc/socket/client/SocketClientDispatch.cpp, function createCameraProvider(), line 106)
Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:735 Failed to create CameraProvider
[ WARN:0] global /opt/opencv/modules/videoio/src/cap_gstreamer.cpp (935) open OpenCV | GStreamer warning: Cannot query video position: status=0, value=-1, duration=-1
- What help do you need?
How to run the device? Also for additional note my opencv support gstream. I got it from LT4 ML container jetpack 4.6.1.