Hi kayccc,
Just reviewed the TLT documentation and how-to guide. If I understand correctly, I have to train my object dataset with a pre-trained ResNet 10 model, prune it and then export it, if i want to run it on the DeepStream apps. Is that correct?
My main question for now is, [b]in the DeepStream SDK, what is the type of the ResNet 10 model in the sample apps:
- Image Classification, or
- DetectNet_v2, or
- FasterRCNN, or
- SSD
[/b]
We will use the same type for ResNet 10 (from NGC) to train our dataset on as well, so it can run on the DeepStream apps later on without any issues.