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added images to md with github links and enahnce number of threads
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FadyCoding committed Jul 19, 2024
1 parent 294afc6 commit f2d6c82
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2 changes: 1 addition & 1 deletion debiaiServer/swagger.yaml
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swagger: "2.0"
info:
version: 0.29.6
version: 0.29.7
title: DebiAI_debiaiServer_API
description: DebiAI backend api
contact:
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4 changes: 1 addition & 3 deletions debiaiServer/websrv.py
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@@ -1,7 +1,6 @@
import os
import psutil
import requests
import logging
import connexion
import webbrowser
from flask_cors import CORS
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app.run(port, debug=True, host="0.0.0.0", use_reloader=reloader)
else:
# Use waitress for production
logging.getLogger("requests").setLevel(logging.WARNING)
serve(app, host="0.0.0.0", port=port)
serve(app, host="0.0.0.0", port=port, threads=6)


if __name__ == "__main__":
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6 changes: 3 additions & 3 deletions debiai_gui.md
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@@ -1,5 +1,5 @@
<div align="center">
<img src="images/DebiAI_logo.svg" height="200" align="">
<img src="https://github.com/debiai/DebiAI/blob/main/images/DebiAI_logo.svg" height="200" align="">

[![Online documentation](https://img.shields.io/static/v1?label=&message=Online documentation&color=0077de)](https://debiai.irt-systemx.fr/)
</br>
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DebiAI has a Web Graphical User Interface with a complete data visualization toolkit offering many statistical analysis tools:

<p align="center">
<img src="./images/DebiAI_dashboard.png">
<img src="https://github.com/debiai/DebiAI/blob/main/images/DebiAI_dashboard.png">
</p>

The dashboard is highly customizable and can be used for large and small projects. Learn more about the [widgets and how to use them](https://debiai.irt-systemx.fr/dashboard/widgets/).
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The Valeo - WoodScape dataset is an annotated image dataset taken from 4 fisheye cameras. DebiAI is used to analyze the dataset for biases and outliers in the data.

<p align="center">
<img src="./images/valeo.png">
<img src="https://github.com/debiai/DebiAI/blob/main/images/valeo.png">
</p>

Withing the [Confiance.ai](https://www.confiance.ai/) program, DebiAI has been able to import the project data, detect biases, find annotations errors and export them to the project's image annotation tool.
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