Continuous integration (for now) and continuous delivery (for near future) of the optimized ablation-driven depth object detector
This development container is designed for the DOD-ci-cd project. It provides a consistent, reproducible development environment for all team members.
For details in the architecture of the Optimized Depth Object Detector trained for fruits, please check Jaramilloh/Depth-Object-Detector-DOD and our paper Application of Machine Vision Techniques in Low-Cost Devices to Improve Efficiency in Precision Farming.
- Docker
- Visual Studio Code
- Visual Studio Code Extension: Remote - Containers
- Clone the repository to your local machine.
- Open the project in Visual Studio Code.
- When prompted to reopen the project in the container, select 'Reopen in Container'.
- Wait for the container to build and start. This may take a few minutes the first time.
- You're now ready to start developing!
- Use the following commands defined on the Makefile
- make format
- make lint
- make test
This project is licensed under the (AGPL-3.0 license) license. For more details, please see the GNU AFFERO GENERAL PUBLIC LICENSE file.
If you have any questions or suggestions, please contact jfjarher@upv.edu.es.