Please provide the following information when requesting support.
• Hardware (4Gb jetson nano, RTX 3080)
• Network Type (Detectnet_v2)
- DeepStream 5.1
• TLT Version (dockers:
nvidia/tao/tao-toolkit-tf:
v3.22.05-tf1.15.5-py3:
docker_registry: nvcr.io
…
format_version: 2.0
toolkit_version: 3.22.05
published_date: 05/25/2022
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)
Hi there.
I am attempting to generate an engine with tao-converter for use on the nano. I am using the version of tao-converter for jetson devices that the link in the detectnet_v2 jupyter notebook points to (zip/folder name “clara_agx”). I am following the “Instructions for Jetson” in the “deploying to deepstream-detectnet-v2” documentation. and then the Readme.txt. inside the “clara_agx” folder in “Home” on the nano.
When I run “./tao-converter -h” I get:
“bash: ./tao-converter: permission denied”
I have tried with “chown root:root” and “chown peter:peter”
If I simply use “tao-converter -h”, I get:
“bash: tao-converter: command not found”
please advise