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SensuiYagi merged 1 commit into from
Feb 6, 2026
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Update documentation with new images and refined descriptions #167

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11 changes: 8 additions & 3 deletions docs/content/index.md
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Expand Up @@ -19,18 +19,23 @@ The source code is publicly available:

### The retinify pipeline

<img src="https://raw.githubusercontent.com/retinify/assets/main/videos/gpu_pipeline.gif" style="width:50%;">
<table style="width:100%;">
<tr>
<td style="width:50%;"><img src="https://raw.githubusercontent.com/retinify/assets/main/images/vo_pipeline.png" style="width:100%;" /></td>
<td style="width:50%;"><img src="https://raw.githubusercontent.com/retinify/assets/main/videos/gpu_pipeline.gif" style="width:100%;" /></td>
</tr>
</table>

The main functionality of retinify is accessible through retinify::Pipeline.

**GPU-Based Computing:**
All processing required for stereo depth estimation — including image remapping (undistortion and rectification), stereo matching, and 3D reprojection — is executed entirely on the GPU, enabling efficient and real-time performance.

**AI-Powered Stereo Matching:**
Stereo correspondence is computed using deep learning–based models, delivering significantly higher accuracy and robustness compared to traditional stereo matching algorithms.
Stereo matching is computed using deep learning–based models, delivering significantly higher accuracy and robustness compared to traditional algorithms.

**Flexible Integration:**
The pipeline is camera-agnostic and supports any pinhole stereo camera setup. Input images are handled via raw pointers and strides, allowing seamless integration without dependencies on specific image processing libraries.
The pipeline is camera-agnostic and supports any stereo camera setup. Input images are handled via raw pointers and strides, allowing seamless integration without dependencies on specific image processing libraries.


### Getting started
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