Tensorflow Object Detection API on Jetson Xavier NX

Autonomous Machines Jetson & Embedded Systems Jetson Xavier NX
1

Hi,
I am new here, recently i trained a model custom model based on mobilenet v2 fpnlite using the tensorflow object detection api. Currently i am able to run the model on my laptop, and I hope to enquire how do I proceed to deploy this model on my jetson xavier.

Thanks in advanced!

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Moving to Jetson Xavier NX forum for resolution.

4

Hi,

You can deploy it with TensorFlow directly on the Xavier.
The installation procedure can be found in the below document:

However, it’s more recommended to convert the model into TensorRT engine.
It can give you a better performance on Jetson as well as save the memory usage.

This is a two-step conversion:

  1. Convert your model into ONNX format via tf2onnx.

  2. Follow below tutorial to deploy the model with TensorRT.
    https://github.com/NVIDIA/TensorRT/tree/master/samples/opensource/sampleOnnxMNIST

Thanks.

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