Semantic segmentation with Unet Deep Learning model applied to segment Cercospora Leaf Spot. The dataset used to train this model contains three classes: Background, Leaf and Disease.
To launch it, first install the package then run deepaas:
git clone https://github.com/adnaneds/unet
cd unet
pip install -e .
cd ..
deepaas-run --listen-ip 0.0.0.0
The associated Docker container for this module can be found in https://github.com/adnaneds/DEEP-OC-unet.
├── LICENSE <- License file
│
├── README.md <- The top-level README for developers using this project.
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── setup.py, setup.cfg <- makes project pip installable (pip install -e .) so
│ unet can be imported
│
├── unet <- Source code for use in this project.
│ │
│ ├── __init__.py <- Makes unet a Python module
│ │
│ └── api.py <- Main script for the integration with DEEP API
│
└── Jenkinsfile <- Describes basic Jenkins CI/CD pipeline