Running FOMO AD build using TIDL-RT Library (AM62A)

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#1

Hello,

I trained a FOMO AD model and chose the TIDL-RT Library (AM62A) build, Tflite classifier(float). Now, I have the files but how do I use/run the classification using a python application on my am62a board using the raspberry pi camera attached to it as the input which uses gstreamer as input and output streaming.

Also, is the inference time of 902ms too high for the board?

Thanks :slight_smile:

#2

Hi @tkapopr

The Linux Python SDK enables you to use GStreamer pipelines for capturing data from cameras.

You can define a GStreamer pipeline that captures frames from a Raspberry Pi camera or any other camera module and processes them using your model.

That does seem quite long, you can review the examples here to see if you have better performance with the examples:

Best

Eoin