From f2d6c82e3d1747bb5d545ad6844bd2a8806080c1 Mon Sep 17 00:00:00 2001 From: FadyCoding Date: Fri, 19 Jul 2024 11:04:07 +0200 Subject: [PATCH] added images to md with github links and enahnce number of threads --- debiaiServer/swagger.yaml | 2 +- debiaiServer/websrv.py | 4 +--- debiai_gui.md | 6 +++--- 3 files changed, 5 insertions(+), 7 deletions(-) diff --git a/debiaiServer/swagger.yaml b/debiaiServer/swagger.yaml index 229a111f..dcb6586c 100644 --- a/debiaiServer/swagger.yaml +++ b/debiaiServer/swagger.yaml @@ -1,6 +1,6 @@ swagger: "2.0" info: - version: 0.29.6 + version: 0.29.7 title: DebiAI_debiaiServer_API description: DebiAI backend api contact: diff --git a/debiaiServer/websrv.py b/debiaiServer/websrv.py index 35a60428..7207441e 100644 --- a/debiaiServer/websrv.py +++ b/debiaiServer/websrv.py @@ -1,7 +1,6 @@ import os import psutil import requests -import logging import connexion import webbrowser from flask_cors import CORS @@ -109,8 +108,7 @@ def start_server(port, reloader=True, is_dev=True): 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__": diff --git a/debiai_gui.md b/debiai_gui.md index e2a0960e..706494b0 100644 --- a/debiai_gui.md +++ b/debiai_gui.md @@ -1,5 +1,5 @@
- + [![Online documentation](https://img.shields.io/static/v1?label=&message=OnlineĀ documentation&color=0077de)](https://debiai.irt-systemx.fr/)
@@ -35,7 +35,7 @@ The full documentation is available on the [DebiAI website](https://debiai.irt-s DebiAI has a Web Graphical User Interface with a complete data visualization toolkit offering many statistical analysis tools:

- +

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/). @@ -65,7 +65,7 @@ One of them is the [Valeo - WoodScape](https://woodscape.valeo.com/) dataset: 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.

- +

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.