Hi, I’m trying to use an argus camera with pytorch (or opencv). To do so, I plan to get images from libargus to be able to pass them to pytorch Currently I’m trying to install a python binding to lib argus: NVIDIA-AI-IOT/argus_camera/blob/master/README.md Argus Camera interface f…

[image] Honey_Patouceul: and just use csi://0 So you would change to: camera = jetson.utils.gstCamera(1280, 720, "csi://0") See jetson-inference/docs/aux-streaming.md at master · dusty-nv/jetson-inference · GitHub

Thank you, it seems interesting indeed. I installed jetson-utils (jetson-inference in fact) without any issue, and I tried to open my camera: import jetson.utils def display_csi_camera(): # Create the camera instance camera = jetson.utils.gstCamera(1280, 720, "/dev/video0") # You may nee…

For a bayer sensor connected though CSI, you would use Argus. First check that your sensor is ok with argus: gst-launch-1.0 nvarguscamerasrc ! nvvidconv ! autovideosink or with argus_camera. Then, check available modes from your sensor with: v4l2-ctl -d0 --list-formats-ext Pick your preferred …

Thank you for you answer gst-launch-1.0 nvarguscamerasrc ! nvvidconv ! autovideosink works perfectly, I’m able to visualize the camera correctly. v4l2-ctl -d0 --list-formats-ext gives: ioctl: VIDIOC_ENUM_FMT Type: Video Capture [0]: 'RG10' (10-bit Bayer RGRG/GBGB) …

Thank you, it works! (I feel idiot not to have seen that you already had written the solution previously, sorry for that) Last question: do you know if at this stage the image is already on the GPU, and doing something like torch.as_tensor(cuda_img, device='cuda') would avoid an unecessary copy via…

I have poor experience of jetson-utils from python, but my understanding is that yes it is already available to GPU as expected by jetson-inference (and may also be available to CPU if using zeroCopy option but may be a bit slower).

Argus camera with pytorch (or opencv)

Robotics & Edge Computing Jetson Systems Jetson AGX Orin

Honey_Patouceul July 29, 2023, 10:24pm 2

Not sure, this post (GPU Acceleration Support for OpenCV Gstreamer Pipeline - #3 by Honey_Patouceul) may be outdated now, but you may try using jetson-utils.

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Argus camera with pytorch (or opencv)

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