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README.md

Python Dataflow Example

This examples shows how to create and connect dora nodes in Python.

Overview

The dataflow.yml defines a simple dataflow graph with the following three nodes:

  • a webcam node, that connects to your webcam and feed the dataflow with webcam frame as jpeg compressed bytearray.
  • a window plotting node, that will retrieve the webcam image and plot it.

The same dataflow is implemented for a dynamic-node in dataflow_dynamic.yml. It contains
the same nodes as the previous dataflow, but the plot node is a dynamic node. See the next section for more
information on how to start such a dataflow.

Getting started

After installing Rust, dora-cli and Python >3.11, you will need to activate (or create and activate) a
Python virtual environment.
Then, you will need to install the dependencies:

cd examples/python-dataflow
dora build ./dataflow.yml (or dora build ./dataflow_dynamic.yml)

It will install the required dependencies for the Python nodes.

Then you can run the dataflow:

dora up
dora start ./dataflow.yml (or dora start ./dataflow_dynamic.yml)

Note: if you're running the dynamic dataflow, you will need to start manually the ultralytics-yolo node:

# activate your virtual environment in another terminal
python opencv-plot --name plot
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DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed datafl

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