Retinify is an advanced AI-powered stereo vision library designed for robotics. It enables real-time, high-precision 3D perception by leveraging GPU and NPU acceleration.
Its C++ API allows the same code to run seamlessly across various acceleration backends.

retinify::tools offers OpenCV-compatible utility functions for image and disparity processing.

#include <retinify/retinify.hpp>
#include <opencv2/opencv.hpp>

// LOAD INPUT IMAGES
cv::Mat leftImage = cv::imread(<left_image_path>);
cv::Mat rightImage = cv::imread(<right_image_path>);

// PREPARE OUTPUT CONTAINER
cv::Mat disparity;

// CREATE STEREO MATCHING PIPELINE
retinify::tools::LRConsistencyPipeline pipeline;

// INITIALIZE THE PIPELINE
pipeline.Initialize();

// EXECUTE STEREO MATCHING
pipeline.Run(leftImage, rightImage, disparity);

📖 retinify-documentation — Developer guide and API reference.

• 🚀 Installation Guide
  Step-by-step guide to build and install retinify.

• 🔨 Tutorials
  Hands-on examples to get you started with real-world use cases.

• 🧩 API Reference
  Detailed class and function-level documentation for developers.

⚡ Target	Status
	Coming soon
	Coming soon

• 🌐 Open Source: Fully customizable and freely available under an open-source license.
• 🔥 High Precision: Delivers real-time, accurate 3D mapping and object recognition from stereo image input.
• 💰 Cost Efficiency: Runs using just cameras, enabling depth perception with minimal hardware cost.
• 🎥 Camera-Agnostic: Accepts stereo images from any rectified camera setup, giving you the flexibility to use your own hardware.

For a list of third-party dependencies, please refer to NOTICE.md.

For any inquiries, please feel free to contact us at [email protected].
We would be pleased to assist you and look forward to hearing from you.