aysenurcftc / yolov8_human_face_detection

This repo detects human face with YOLOv8 from ultralytics

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Yolov8-Custom-Object-Detetction

This repo detects human face with YOLOv8 from ultralytics

Usage/Examples

CLI Usage

usage: cli.py [-h] input_path

yolov8 custom object detection

positional arguments:
  input_path  path to input image.

options:
  -h, --help  show this help message and exit

API Usage

http://127.0.0.1:8041/predict

Installation

Install project with pip

pip install -r requirements.txt

Deployment

To deploy this project run

docker build -t yolo_det .
docker run -d -p 8041:8041 yolo_det

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

IMG_API_KEY

License

MIT

About

This repo detects human face with YOLOv8 from ultralytics

License:MIT License


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Language:Python 92.9%Language:Dockerfile 7.1%