Object Detection Flask Application

This repository contains a Flask-based web application for object detection using the YOLO (You Only Look Once) model. The application can process images and video streams, detecting objects and displaying the results.

Features

• Upload an image and get the detected objects highlighted.
• Real-time object detection from a video stream.

Requirements

• Python 3.6+
• Flask
• ultralytics
• numpy
• pillow
• opencv-python
• werkzeug

Setup

1. Clone the repository:

git clone https://github.com/givkashi/Object-Detection-Yolo-Flask.git
cd Object-Detection-Yolo-Flask

2. Download the YOLO weights from [here] and place them in the object_detection directory.

3. Running the Application To start the Flask application, run:

python app.py

The application will be available at http://localhost:8000.

Usage Image Upload

1. Open your browser and navigate to http://localhost:8000.
2. Upload an image file.
3. The application will process the image and display the detected objects.

Real-time Video Detection

1. Open your browser and navigate to http://localhost:8000/video.
2. The application will start the webcam and display the real-time object detection.