s486797
/
tomaito_web
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
5 Commits 1 Branch 0 Tags 334 MiB
HTML 77.4%
Python 22.6%
Go to file
LABS\s478989 3dc1bcf466 Crop type affects the output 2024-01-16 16:02:04 +01:00
.gitignore initial commit 2023-12-28 22:09:32 +01:00
LICENSE initial commit 2023-12-28 22:09:32 +01:00
README.md 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 Crop type affects the output 2024-01-16 16:02:04 +01:00
object_detector.py Weather api added 2024-01-16 15:30:46 +01:00
requirements.txt initial commit 2023-12-28 22:09:32 +01:00

README.md

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

  • Cloning instruction coming soon
  • Go to the root of cloned repository
  • Install dependencies by running pip3 install -r requirements.txt

Run

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.