dora-rs
/
dora
Not watched
1
0
Fork 0
Code
Releases 124 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
3103 Commits
57 Branches
16 MB
7704 Download
 
 
 
 
 
 
Tree: 0cd764980d
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '0cd764980d'
${ noResults }
dora/examples/python-dataflow
haixuantao 0cd764980d migrate example to uv to make it independant of virtual environment activation 11 months ago
..
.gitignore adding object detection to python example 3 years ago
README.md migrate example to uv to make it independant of virtual environment activation 10 months ago
dataflow.yml migrate example to uv to make it independant of virtual environment activation 10 months ago
dataflow_dynamic.yml remove unused input and output from dynamic node 1 year ago
run.rs migrate example to uv to make it independant of virtual environment activation 10 months ago

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 --uv (or dora build ./dataflow_dynamic.yml --uv)

It will install the required dependencies for the Python nodes.

Then you can run the dataflow:

dora run ./dataflow.yml --uv (or dora start ./dataflow_dynamic.yml --uv)

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

# activate your virtual environment in another terminal
python opencv-plot --name plot
Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

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

Rust Python TOML Markdown C other