Pneumonia is a severe lung infection that can be life-threatening if not diagnosed and treated promptly. Chest X-ray imaging plays a crucial role in the early detection and diagnosis of Pneumonia. However, interpreting these images accurately requires specialized knowledge and expertise. This project addresses this challenge by developing a deep learning model capable of analyzing chest X-ray images and classifying them as either showing signs of Pneumonia or being normal.
root/
├── config/
│ ├── pneumonia_cfg.py
│ └── logging_cfg.py
├── logs/
├── middleware/
│ ├── __init__.py
│ ├── cors.py
| └── http.py
├── models/
│ ├── weights/
│ │ └── pneumonia_weights.pt
│ ├── dataset.py
│ ├── pneumonia_model.py
│ └── pneumonia_predictor.py
├── routes/
│ ├── base.py
│ └── pneumonia_route.py
├── schemas/
│ └── pneumonia_schema.py
├── utils/
│ └── logger.py
├── app.py
├── requirements.txt
└── server.py
Clone the project
$ git clone https://github.com/VuBacktracking/Deploy-Deep-Learning-Model-With-FastAPI.git
Install the requirements
$ pip install -r requirements.txt
Run the server.py
$ python3 server.py
Result
This will start the FastAPI application in development mode, and you can access the API at
http://0.0.0.0:8000/docs
