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Possible to run on Jetson Nano? #54
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For me it worked on a jetson orin using the following Dockerfile:
It is based on nvidia's pytorch container so it can easily make use of the GPU. However this container is based on python 3.8 so additional adjustments are necessary. Since I haven't checked out poetry yet I replaced it with following
Finally I removed the I guess there are better ways to solve this problem and keep this repositories structure, so I am providing this just as a reference of one way to possibly achieve your goal. |
Thanks for your script here. How to set the model type =Largev3? |
I'm trying to run the gpu accelerated version on a jetson nano. I'm not sure if it's supposed to work though.
I updated docker to the latest version. Unfortunately the gpu version of the package does not support the arm architecture. Thus, I tried to build myself.
When trying to build the Dockerfile.gpu I'm running into the following errors:
The text was updated successfully, but these errors were encountered: