29 lines
972 B
Markdown
29 lines
972 B
Markdown
# Tomato maturity detection web application
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<div align="center">
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<img src="example_picture.jpg"/>
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</div>
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This is a modified code from [this](https://dev.to/andreygermanov/a-practical-introduction-to-object-detection-with-yolov8-neural-network-3n8c) article.
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This is a web interface to [YOLOv8 object detection neural network](https://ultralytics.com/yolov8)
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implemented on [Python](https://www.python.org) that uses a model to detect level of ripeness for big and small tomatos.
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## Install
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* Clone this repository with this html: https://git.wmi.amu.edu.pl/s486797/tomaito_web.git
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* Go to the root of cloned repository
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* Install dependencies by running `pip3 install -r requirements.txt`
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## Run
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Execute:
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```
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python3 object_detector.py
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```
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It will start a webserver on http://localhost:8080. Use any web browser to open the web interface.
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Using the interface you can upload the image to the object detector and see bounding boxes of all objects detected on it.
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