Yolo v8 App

A Streamlit-based web application for running various computer vision tasks using YOLO v8 models.

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Run program with this command:

streamlit run main.py

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Features

• Multiple Task Support:

  • Object Detection
  • Segmentation
  • Video Tracking
  • Body Position Detection

• Input Types:

  • Images (jpg, jpeg, png)
  • Videos (mp4, mkv)

Installation

1. Clone the repository:

git clone https://github.com/Amir-Hofo/Yolo_v8_app.git
cd Yolo_v8_app

2. Install dependencies:

pip install -r requirements.txt

Usage

1. Run the Streamlit app:

streamlit run main.py

2. A browser window will automatically open, displaying the application page.

3. Select your input type (image/video)

4. Choose the desired task

5. Upload your file

6. Wait for processing

7. Download the results

Models

The application uses YOLOv8 models for different tasks:

• yolov8n.pt - Object Detection, Video Tracking
• yolov8n-seg.pt - Segmentation
• yolov8n-pose.pt - Body Position Detection