Want a basic demo on building application using pre trained model in ngc

Please provide the following information when requesting support.

• Hardware (T4/V100/Xavier/Nano/etc)
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc)
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here)
• Training spec file(If have, please share here)
• How to reproduce the issue ? (This is for errors. Please share the command line and the detailed log here.)

I have donwloaded bode pose estimation pre trained model using ngc cli but I am not finding the basic procedure to use that model and test with my data. How to use this model and create custom application using this model?

You can refer to Body Pose Estimation — TAO Toolkit 3.22.05 documentation to run inference with the bodyposenet model.

Can you share the exact steps i need to follow after I have downloaded the model etlt file. I am really getting confused through this documentation and the procedure given there.

Refer to deepstream_tao_apps/README.md at master · NVIDIA-AI-IOT/deepstream_tao_apps · GitHub

There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.

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