🎯 YOLOv13 Live Detection Suite

The Ultimate Real-Time Object Detection Experience

---

---

🌟 Why Choose YOLOv13 Live Detection Suite?

Transform your vision into reality with the most advanced real-time object detection system available today!

✨ Key Features That Set Us Apart

• 🚀 Lightning Fast: Real-time detection at 30+ FPS on GPU
• 🎯 Ultra-Accurate: State-of-the-art YOLOv13 architecture
• 🔧 Plug & Play: One-command setup and deployment
• 📱 Multi-Platform: Works on Windows, Linux, macOS
• 🎨 Beautiful UI: Modern, intuitive interface
• 📊 Real-Time Analytics: Live performance monitoring
• 🎭 Ensemble Detection: Combine multiple models for maximum accuracy
• 🌈 Customizable: Easy parameter tuning and optimization

🚀 Quick Start (30 Seconds)

# 1. Clone the repository
git clone https://github.com/vishnuskandha/LiveCam_Dectection.git
cd LiveCam_Dectection

# 2. Install dependencies
pip install -r requirements.txt

# 3. Download models (optional - we include nano by default)
python download_models.py --model small

# 4. Start detection!
python webcam_detection_enhanced.py --models yolov13s.pt

🎉 That's it! You're now running state-of-the-art object detection!

---

📊 Performance Benchmarks

Model	Size	Speed	Accuracy	Use Case
yolov13n.pt	6.7 MB	⚡ 45 FPS	🟡 78%	Real-time apps
yolov13s.pt	22.6 MB	🟡 32 FPS	🟢 85%	Recommended
yolov13m.pt	52.4 MB	🟠 18 FPS	🔵 91%	High accuracy
yolov13l.pt	87.7 MB	🔴 12 FPS	🔵 94%	Maximum precision

Benchmarks tested on RTX 3080 ti GPU, 1080p input

---

🎯 Perfect For

Security & Surveillance	Autonomous Vehicles	Medical Imaging
Quality Control	Mobile Applications	AR/VR Gaming

---

🔧 Advanced Features

🎭 Ensemble Detection

# Combine multiple models for maximum accuracy
detector = EnhancedWebcamDetector(
    model_paths=['yolov13n.pt', 'yolov13s.pt', 'yolov13m.pt'],
    ensemble_method='wbf'  # Weighted Boxes Fusion
)

🎨 Real-Time Customization

# Adjust parameters on-the-fly
python webcam_detection_enhanced.py \
    --models yolov13s.pt \
    --conf 0.25 \
    --iou 0.45 \
    --ensemble wbf

📊 Live Performance Monitoring

• Real-time FPS counter
• Detection confidence scores
• GPU/CPU utilization
• Memory usage tracking

---

🛠️ Installation Options

Option 1: Quick Install (Recommended)

pip install git https://github.com/vishnuskandha/LiveCam_Dectection.git

Option 2: Manual Setup

git clone https://github.com/vishnuskandha/LiveCam_Dectection.git
cd LiveCam_Dectection
pip install -r requirements.txt

Option 3: Docker (Coming Soon)

docker pull vishnuskandha/LiveCam_Dectection
docker run -it --gpus all vishnuskandha/LiveCam_Dectection

---

📱 Usage Examples

Basic Detection

from yolov13_detection import YOLOv13Detector

detector = YOLOv13Detector(model_path='yolov13s.pt')
results = detector.detect_image('image.jpg')

Video Processing

# Process video file
python webcam_detection_enhanced.py --input video.mp4 --save

# Process webcam stream
python webcam_detection_enhanced.py --camera 0

Custom Configuration

# Load custom config
python webcam_detection_enhanced.py --config my_config.yaml

# Override specific parameters
python webcam_detection_enhanced.py --conf 0.3 --iou 0.5

---

🎨 Customization & Extensions

Custom Models

# Train your own model
yolo train model=yolov13n.pt data=custom_data.yaml epochs=100

# Use custom weights
detector = YOLOv13Detector(model_path='my_custom_model.pt')

API Integration

# REST API endpoint
@app.post("/detect")
async def detect_objects(image: UploadFile):
    results = detector.detect_image(image.file)
    return {"detections": results}

---

📈 Roadmap & Updates

• v1.0 - Core detection engine
• v1.1 - Ensemble detection
• v1.2 - Real-time optimization
• v1.3 - Mobile deployment
• v1.4 - Cloud integration
• v2.0 - Multi-modal detection

---

🤝 Contributing

We love contributions! Here's how you can help:

1. Star this repository ⭐
2. Fork and create a feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

Development Setup

git clone https://github.com/vishnuskandha/LiveCam_Dectection.git
cd yolov13-detection-suite
pip install -r requirements-dev.txt
pre-commit install

🏆 Showcase Your Projects

Built something amazing with YOLOv13? Share it with the community!

# My Amazing Project
Built with [YOLOv13 Live Detection Suite](https://github.com/vishnuskandha/yolov13-LiveCam_Dectection)

---

📄 License

This project is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.

---

🙏 Acknowledgments

• Ultralytics for the amazing YOLO framework
• OpenCV for computer vision capabilities
• PyTorch for deep learning infrastructure
• Our amazing community for feedback and contributions

---

🚀 Ready to revolutionize your object detection?

Made with ❤️ by vishnu ;)