YOLOv8-FastAPI:

This repository serves as a template for object detection using YOLOv8 and FastAPI. With YOLOv8, you get a popular real-time object detection model and with FastAPI, you get a modern, fast (high-performance) web framework for building APIs. The project also includes Docker, a platform for easily building, shipping, and running distributed applications.

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Getting Started

You have two options to start the application: using Docker or locally on your machine.

Using Docker

Start the application with the following command:

docker-compose up

Locally

To start the application locally, follow these steps:

1. Install the required packages:

pip install -r requirements.txt

2. Start the application:

uvicorn main:app --reload --host 0.0.0.0 --port 8001

Note: You can change the address and port in the file docker-compose.yaml

FAST API Docs url:

http://0.0.0.0:8001/docs#/

Ready to start your object detection journey with YOLOv8-FastAPI? 🚀

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Overview of the code

• main.py - Base FastAPI functions
• app.py - YoloV8 functions
• ./models - YoloV8 models folder