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Gen2 Tensorflow Image Classification example

This example demonstrates how to run a neural network created using TensorFlow Image Classification tutorial (which one of our community members has put together in a single Colab Notebook, even with OpenVINO conversion to .blob)

Demo

Pre-requisites

1. Purchase a DepthAI model (see shop.luxonis.com)
2. Install requirements

   python3 -m pip install -r requirements.txt
   

Usage

usage: main.py [-h] [-nd] [-cam] [-vid VIDEO]

optional arguments:
  -h, --help            show this help message and exit
  -nd, --no-debug       Prevent debug output
  -cam, --camera        Use DepthAI 4K RGB camera for inference (conflicts with -vid)
  -vid VIDEO, --video VIDEO
                        Path to video file to be used for inference (conflicts with -cam)

To use with a video file, run the script with the following arguments

python3 main.py -vid ./input.mp4

To use with DepthAI 4K RGB camera, use instead

python3 main.py -cam