I am trying to train a object detection model with TAO and deploy it to Deepstream on Jetson devices. However, the documentation is so bad. Let me explain why I think like that.
When I click to official documentation link of TAO, firstly I tried to train a model with google cloud. I sometimes can do that but every month it changes. It sometimes work sometimes don’t work.
The colab links in that page is not working now for example, however last month it was working and I trained a model. Now its not working because of the update in Google Colab again I think. There is no information or quick announcement that inform developers whats going on, and we spend days to figure out whats the problem.
Then I decided to move on with Google Cloud or other Cloud training techniques because I am tired of colab. Now I need a guide how to do it but in documentation nvidia don’t explain any processes. Worse than that, In following link lots of links are broken :)
I click to Brev quick deploy links but none of them are working. Broken links on official documentation of billion dollar company.
Also I tried to download a container to use it on Google Cloud Platform, but quess what? Links on documentation are not working of course.
Like this one :
nvcr.io/nvidia/tao/tao-toolkit:5.0.0-tf2.11.0
So, I am working on a project that may use many nvidia jetson devices, however I am afraid about the support to TAO toolkit or Deepstream will end. Is there any possibility that Nvidia stop maintaining these projects?
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