• Hardware Platform (Jetson / GPU) AGX Xavier
• DeepStream Version 5.0
• JetPack Version (valid for Jetson only) 4.4
• TensorRT Version 7.0
• NVIDIA GPU Driver Version (valid for GPU only) 450.80.02
I am planning to construct a brand new model using one of {Resnet|Mobilenet|SqueezeNet} as feature extractor and then {SSD} for object detection and of course some few enhanced idea while constructing these building blocks. After training this new network, I would like to deploy it to DeepStream pipeline using nvinfer with configuration file running at AGX Xavier. Questions:
- what kind of tool chain Nvidia currently provided can achieve the above goal with minimal effort?
- is there any resource or reference tutorial showing how to construct the above network and training process?
- after the new network trained, how to convert the model to the TensorRT engine file for DeepStream integration?
Thank you very much for your help.