🚀 A versatile image processing framework designed for AI-driven vision applications.
PixelX is a modular computer vision framework designed to process images and videos efficiently. It provides foundational tools for various vision-based applications, including self-driving technology, object detection, and more.
VisualX is the core image processing library inside PixelX, handling all low-level vision tasks and optimizations.
✔️ Supports multiple image processing techniques.
✔️ Optimized for real-time video analysis.
✔️ Modular architecture for easy expansion.
✔️ Built with OpenCV and Python.
✔️ Powered by VisualX for enhanced processing.
PixelX consists of multiple subprojects, each focusing on a specific vision-related task:
- Detects straight lanes in images and videos.
- Uses OpenCV for edge and line detection.
- Works with real-world road footage.
- Powered by VisualX.
- Will support curved lanes using advanced contour analysis.
- Improved robustness in different lighting conditions.
- Built on VisualX optimizations.
- Detects rockets in various images and video frames.
- Will integrate AI-based classification for accuracy.
- Uses VisualX for preprocessing.
- 🚧 Object tracking
- 🏎️ Vehicle recognition
- 🌍 Satellite image processing
✅ Expand lane detection capabilities.
✅ Integrate deep learning models.
✅ Improve real-time performance.
✅ Enhance VisualX with new processing algorithms.
Stay tuned for updates! 🚀