I want to train my model for custom object detection. I tried doing this by going through the following video link from nvidia [Jetson AI Fundamentals - S3E5 - Training Object Detection Models - YouTube](https://Jetson AI Fundamentals - S3E5 - Training Object Detection Models)
But in the end this works with detectnet but i want to use this model in deepstream as my object detection model.
I am a newbie and didnt find much documents relating to how to do this with deepstream.
So please guide me with this…
TensorRT Version: 7.1.3
GPU Type: NVIDIA maxwell architecture with 128 nvidia cuda cores
Nvidia Driver Version: 4.5.1
CUDA Version: 10.2
Deepstream Version: 5.1
Python Version (if applicable): 3.6
Please attach or include links to any models, data, files, or scripts necessary to reproduce your issue. (Github repo, Google Drive, Dropbox, etc.)
- Exact steps/commands to build your repro
- Exact steps/commands to run your repro
- Full traceback of errors encountered