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Running Predictions using Detectnet_v2

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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.)

Hi, I have seen on how to train the LPD model in NVIDIA AI IOT github repository. I have trained my LPD model and I would like to use it in my python code to generate prediction using the onnx model. May i know are there any sample for me to follow? I will need to feed in an image and the model is able to detect the location of the license plate. Thanks.

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