This repository contains the program code for the pilot project “AI-based monitoring of 3D printing”, which was developed as part of the Green-AI Hub. The program code can detect errors in 3D printing. More information about the project can be found here: Green-AI-Hub: AI-based monitoring of 3D printing.
Clone the Git repository and install the packages from the requirements.txt file.
The file inference.py uses an existing model to predict errors. The file download_images.py downloads the labeled dataset. The file train_model.py allows training a new model with the labeled data.
For all files, paths and credentials must be adjusted in the program code.
# Clone the repository
git clone https://github.com/Green-AI-Hub-Mittelstand/AI-based-monitoring-of-3D-printing
cd AI-based-monitoring-of-3D-printing
# Install the required packages
pip install -r requirements.txtMake sure to update the paths and credentials in each script as needed before running them.
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 GNU General Public License V3. See LICENSE.txt for more information.
The software will not be activly maintained as this was developed as part of a finished pilot project. If you have any questions, please contact Daphne Theodorakopoulos (daphne.theodorakopoulos@dfki.de).
Green-AI Hub Mittelstand - info@green-ai-hub.de
Project Link: https://github.com/Green-AI-Hub-Mittelstand/repository_name
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