multi_plankton_classification

return the label of an image with multi plankton or not

To launch it, first install the package then run deepaas:

git clone https://github.com/ai4os-hub/multi_plankton_classification
cd multi_plankton_classification
pip install -e .
deepaas-run --listen-ip 0.0.0.0

Project structure

│
├── Dockerfile             <- Describes main steps on integration of DEEPaaS API and
│                             multi_plankton_classification application in one Docker image
│
├── Jenkinsfile            <- Describes basic Jenkins CI/CD pipeline (see .sqa/)
│
├── LICENSE                <- License file
│
├── README.md              <- The top-level README for developers using this project.
│
├── .sqa/                  <- CI/CD configuration files
│
├── multi_plankton_classification    <- Source code for use in this project.
│   │
│   ├── __init__.py        <- Makes multi_plankton_classification a Python module
│   │
│   ├── api.py             <- Main script for the integration with DEEPaaS API
│   │
│   └── misc.py            <- Misc functions that were helpful accross projects
│
├── data/                  <- Folder to store the data
│
├── models/                <- Folder to store models
│   
├── tests/                 <- Scripts to perfrom code testing
|
├── metadata.json          <- Defines information propagated to the AI4OS Hub
│
├── requirements.txt       <- The requirements file for reproducing the analysis environment, e.g.
│                             generated with `pip freeze > requirements.txt`
├── requirements-test.txt  <- The requirements file for running code tests (see tests/ directory)
│
└── setup.py, setup.cfg    <- makes project pip installable (pip install -e .) so
                              multi_plankton_classification can be imported