Table of Contents
This project is about identify the garbage with 6 categories ewest, metal, plastic, paper, non-recyclable and glass with Supervise machine learning models
## Getting Started
Here are the instructions about settings up project in local environment
- Python3.10
-
Clone the repo
git clone [email protected]:kumarsubedi93/garbage-detection.git
-
Create python virtual environment
python3 -m venv env
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Activate virtual environment
source env/bin/activate
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Install all require packages
pip install -r requirements.txt
-
Get Machine learning models by following link and place inside ml-models/
https://www.dropbox.com/s/jxlv29rh8otxrtx/garbage_model_weights.h5?dl=0
-
Run project by using below command
python main.py
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The project up and running in localhost:9000 port & go to localhost:9000/docs to get API Endpoint.
- Add More data on training models
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt
for more information.