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

Accelerated Computing Intelligent Video Analytics TAO Toolkit
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1

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?

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

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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.

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

7

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.
Thanks

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