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NVIDIA-AI-IOT / jetnet

Easy to use neural networks for NVIDIA Jetson (and desktop too!)
Apache License 2.0
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ImportError: /lib/aarch64-linux-gnu/libgstreamer-1.0.so.0: file too short #13

Open immnas opened 1 year ago

immnas commented 1 year ago

I am using jetson xavier nx with jetpack 5.0.2. I am running the docker setup as suggested. i got first error docker: Error response from daemon: failed to create shim: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'csv' invoking the NVIDIA Container Runtime Hook directly (e.g. specifying the docker --gpus flag) is not supported. Please use the NVIDIA Container Runtime instead.: unknown.

when i removed the --gpus flag its worked and i entered at docker command prompt. when i run the following command jetnet demo jetnet.easyocr.EASYOCR_EN_TRT_FP26

Traceback (most recent call last): File "/usr/local/bin/jetnet", line 11, in load_entry_point('jetnet', 'console_scripts', 'jetnet')() File "/usr/lib/python3/dist-packages/pkg_resources/init.py", line 490, in load_entry_point return get_distribution(dist).load_entry_point(group, name) File "/usr/lib/python3/dist-packages/pkg_resources/init.py", line 2854, in load_entry_point return ep.load() File "/usr/lib/python3/dist-packages/pkg_resources/init.py", line 2445, in load return self.resolve() File "/usr/lib/python3/dist-packages/pkg_resources/init.py", line 2451, in resolve module = import(self.module_name, fromlist=['name'], level=0) File "/jetnet/jetnet/main.py", line 26, in from jetnet.demo.demo import ( File "/jetnet/jetnet/demo/demo.py", line 20, in import cv2 File "/usr/local/lib/python3.8/dist-packages/cv2/init.py", line 96, in bootstrap() File "/usr/local/lib/python3.8/dist-packages/cv2/init.py", line 86, in bootstrap import cv2 ImportError: /lib/aarch64-linux-gnu/libgstreamer-1.0.so.0: file too short

jaybdub commented 1 year ago

Hi @immnas ,

Thanks for reaching out!

It's odd that the --gpus flag isn't working. I'm curious why this is the case.

Have you configured docker to use the nvidia runtime? You can do that by editing the /et/docker/daemon.json file, like this:

https://github.com/dusty-nv/jetson-containers#docker-default-runtime

Please let me know if this helps or not.

Best, John

immnas commented 1 year ago

Hi

I am able to run dusty-nv with docker and without docker properly.