Update README.md

README.md

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-# Object Tracking Application
-
-A Python application for real-time object tracking using YOLO (You Only Look Once) deep learning model. This application can detect and track animals and humans in real-time video streams from a webcam.
-
-## Features
-
-- **Real-time Object Detection**: Uses YOLOv8 for fast and accurate object detection
-- **Object Tracking**: Tracks detected objects across frames with unique IDs
-- **Animal & Human Detection**: Specifically configured to detect animals and humans
-- **FPS Display**: Shows real-time frames per second
-- **Detection Metadata**: Displays detection counts and class information
-- **Frame Saving**: Save frames with detections to disk
-
-## Requirements
-
-- Python 3.8 or higher
-- Webcam or camera device
-- YOLOv8 model file (`yolov8n.pt` - included)
-
-## Installation
-
-1. Clone or download this repository
-
-2. Install dependencies:
-```bash
-pip install -r requirements.txt
-```
-
-## Usage
-
-### Modern UI (Recommended)
-
-Run the modern PyQt5-based UI:
-```bash
-python main_ui.py
-```
-
-**Features:**
-- Modern dark theme interface
-- Real-time video display with proper scaling
-- Scrollable sidebar showing all tracked objects
-- Detailed wildlife information cards
-- Interactive buttons for save and reset
-- Real-time statistics display
-- Professional appearance
-
-**Controls:**
-- **Save Frame** button: Save current frame to disk
-- **Reset** button: Reset statistics and tracked objects
-- Close window to quit
-
-### Legacy OpenCV UI
-
-Run the original OpenCV-based UI:
-```bash
-python main.py
-```
-
-**Controls:**
-- **'q'**: Quit the application
-- **'s'**: Save current frame to disk
-- **'r'**: Reset statistics (FPS counter, frame count)
-
-### Configuration
-
-Edit `config.py` to customize:
-
-- **Camera Settings**: Change `CAMERA_INDEX`, `CAMERA_WIDTH`, `CAMERA_HEIGHT`
-- **Detection Threshold**: Adjust `CONFIDENCE_THRESHOLD` (0.0-1.0)
-- **Model Path**: Change `YOLO_MODEL` to use a different YOLO model
-- **Tracker**: Change `TRACKER_CONFIG` to use different tracking algorithms
-
-## Project Structure
-
-```
-tracker_v2/
-├── main_ui.py        # Modern PyQt5 UI application (recommended)
-├── main.py           # Legacy OpenCV UI application
-├── tracker.py        # ObjectTracker and CameraCapture classes
-├── wildlife_tracker.py  # Wildlife tracking manager
-├── ai_module.py      # Wildlife identification module
-├── config.py         # Configuration settings
-├── requirements.txt  # Python dependencies
-├── yolov8n.pt        # YOLO model file
-└── README.md         # This file
-```
-
-## Detected Classes
-
-The application is configured to detect:
-- Person
-- Bird
-- Cat
-- Dog
-- Horse
-- Sheep
-- Cow
-- Elephant
-- Bear
-- Zebra
-- Giraffe
-
-## Troubleshooting
-
-### Camera Not Working
-- Make sure your camera is connected and not being used by another application
-- Try changing `CAMERA_INDEX` in `config.py` (try 0, 1, 2, etc.)
-- On Windows, check Device Manager to see available cameras
-
-### Low FPS
-- Reduce camera resolution in `config.py`
-- Use a smaller YOLO model (yolov8n.pt is already the smallest)
-- Close other applications using the camera
-
-### Model Not Found
-- Ensure `yolov8n.pt` is in the same directory as the scripts
-- The model will be downloaded automatically on first run if not found
-
-## License
-
-This project is open source and available for modification and distribution.
-
+---
+title: Animal Tracking V2
+emoji: 📊
+colorFrom: yellow
+colorTo: yellow
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference