YOLOv12 Demo

What is YOLOv12 Demo ?

YOLOv12 Demo is a state-of-the-art object detection application designed to identify and label objects in images or videos. It leverages the YOLO (You Only Look Once) v12 model, known for its real-time detection capabilities and high accuracy. This demo is ideal for developers and users who want to explore object tracking and recognition in various applications, such as security systems, surveillance, or analytics tools.

Features

• Real-time Object Detection: Detect objects in images and videos with low latency.
• Multi-Object Tracking: Simultaneously track multiple objects within a scene.
• High Accuracy: Benefits from YOLOv12's advanced architecture, including improved backbone and neck models.
• Customizable Thresholds: Adjust confidence thresholds for better precision or recall.
• Support for Various Formats:Works with images, video files, and live camera feeds.
• Optimized Performance: Runs efficiently on GPUs and CPUs, including mobile devices.

How to use YOLOv12 Demo ?

1. Install Required Libraries: Ensure you have the necessary dependencies installed (e.g., PyTorch, OpenCV).
2. Clone the Repository: Download the YOLOv12 Demo from its official repository.
3. Run the Demo: Execute the script using Python (e.g., python demo.py).
4. Select Input Source: Choose an image, video file, or enable your webcam for live detection.
5. Adjust Settings: Modify confidence thresholds or other parameters as needed for optimal results.
6. View Results: The demo will display detected objects with bounding boxes and class labels in real time.
7. Troubleshoot: Check logs or documentation if you encounter any issues during setup or runtime.

Frequently Asked Questions

What formats does YOLOv12 Demo support?
YOLOv12 Demo supports JPEG, PNG, and video files (e.g., MP4, AVI) as input. It can also process live camera feeds.

How do I track multiple objects simultaneously?
The demo automatically detects and tracks multiple objects in a frame. Ensure your input source provides clear views of all objects for accurate detection.

Can I run YOLOv12 Demo on a mobile device?
Yes, YOLOv12 is optimized for mobile devices. However, ensure your device meets the minimum hardware requirements for smooth performance.