I’m just setting up my Jetson Nano and everything has worked fine until now. I followed the guide https://www.pyimagesearch.com/2019/05/06/getting-started-with-the-nvidia-jetson-nano/ so far and got stuck by the Jetson Inference models. I try to run GoogleNet (imagenet-camera) as described with my Raspberry Pi V2.1 camera. At first, it’s initializing the device:
[gstreamer] gstCamera successfully initialized with GST_SOURCE_NVARGUS, camera 0 imagenet-camera: successfully initialized camera device width: 1280 height: 720 depth: 12 (bpp) imageNet -- loading classification network model from: -- prototxt networks/googlenet.prototxt -- model networks/bvlc_googlenet.caffemodel -- class_labels networks/ilsvrc12_synset_words.txt -- input_blob 'data' -- output_blob 'prob' -- batch_size 1
But then, the following happens:
imagenet-camera: camera open for streaming Error generated. /dvs/git/dirty/git-master_linux/multimedia/nvgstreamer/gst-nvarguscamera/gstnvarguscamerasrc.cpp, execute:521 No cameras available
In this state, it keeps stuck forever. I read that the Raspberry Pi V2 camera is compatible with the Jetson Nano, but does the same apply for V2.1? Is it possible that this is causing the error and if not, what is it then?
Thanks for the help in advance!