Go to file

anetla 7cbad19bc3 remove prob from label		2024-01-18 23:39:23 +01:00
.gitignore	initial commit	2023-12-28 22:09:32 +01:00
best.onnx	initial commit	2023-12-28 22:09:32 +01:00
example_picture.png	initial commit	2023-12-28 22:09:32 +01:00
index.html	remove prob from label	2024-01-18 23:39:23 +01:00
LICENSE	initial commit	2023-12-28 22:09:32 +01:00
object_detector.py	Weather api added	2024-01-16 15:30:46 +01:00
README.md	update readme and requirements	2024-01-16 16:23:16 +01:00
requirements.txt	update readme and requirements	2024-01-16 16:23:16 +01:00

Tomato maturity detection web application

This is a modified code from this article.

This is a web interface to YOLOv8 object detection neural network implemented on Python that uses a model to detect level of ripeness for big and small tomatos.

Install

Clone this repository with this html: https://git.wmi.amu.edu.pl/s486797/tomaito_web.git
Go to the root of cloned repository
Install dependencies by running pip3 install -r requirements.txt

Execute:

python3 object_detector.py

It will start a webserver on http://localhost:8080. Use any web browser to open the web interface.

Using the interface you can upload the image to the object detector and see bounding boxes of all objects detected on it.