falibabaei/fasterrcnn_pytorch_api

fasterrcnn_pytorch_api

Object detection using FasterRCNN model

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

git clone https://github.com/falibabaei//fasterrcnn_pytorch_api
cd fasterrcnn_pytorch_api
pip install -e .
git submodule init
git submodule update
cd submodule/
pip install e .
deepaas-run --listen-ip 0.0.0.0

The associated Docker container for this module can be found in https://github.com/falibabaei//DEEP-OC-fasterrcnn_pytorch_api.

Project structure

├── 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 the project pip installable (`pip install -e .`) so that fasterrcnn_pytorch_api can be imported
│
├── fasterrcnn_pytorch_api <- Source code for use in this project.
│   ├── config            <- API configuration subpackage
│   ├── scripts           <- API scripts subpackage for predictions and training the model
│   ├── __init__.py       <- File for initializing the python library
│   ├── api.py            <- API core module for endpoint methods
│   ├── fields.py         <- API core fields for arguments
│   └── utils_api.py          <- API utilities module
│
├── Jenkinsfile           <- Describes the basic Jenkins CI/CD pipeline
├── data                  <- Folder to store data for training and prediction
└── models                <- Folder to store checkpoints