IoTanic Image Classification API

Getting Started

Prerequisites

• Python 3.8 or higher
• Docker (optional)
• Intel AVX2 compatible CPU (for TensorFlow)

Direct Run

1. Install dependencies

   pip install -r requirements.txt

   It is recommended to use a virtual environment.

2. Copy .env.example to .env

   cp .env.example .env

3. Start FastAPI process

   python ./app/main.py

   Or you can use uvicorn

   uvicorn app.main:app --port 8000 --reload

   Use --reload flag to enable auto-reload on code changes

4. Open local API docs http://localhost:8000/docs

Using Docker

1. Build Docker image

   docker compose build

2. Run Docker container

   docker compose up -d

   Use -d flag to run in detached mode

About Model Used on This Repository

Please refer to the ngaeninurul/model-cnn-ta repository to view the source code of the models used.