> For the complete documentation index, see [llms.txt](https://doc.celantur.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.celantur.com/sdk/getting-started.md).

# Getting Started

## Documentation and Samples

Technical information: [Celantur SDK Library](https://www.celantur.com/sdk/doc/current/)

 Samples: [SDKExample on GitHub](https://github.com/celantur/SDKExample).

## Get a Demo 

{% hint style="info" %}
[Reach out to our team](https://www.celantur.com/contact/) to request a demo version.
{% endhint %}

## Anonymizing Panorama Images

Settings:

* ROI: 0.0, 0.2 x 1.0, 0.6
* Tiling: 5 x 1
* Tile Overlap 0.1 x 0.0

{% embed url="<https://youtu.be/EGf5Noyb6rk>" %}
Real-time blurring of a dashcam live stream with Celantur Edge SDK on an Nvidia Jetson.
{% endembed %}

## Features

<table><thead><tr><th width="239.33331298828125">Feature</th><th width="119.99993896484375">Category</th><th width="298.33343505859375">Description</th><th>Available since</th></tr></thead><tbody><tr><td>Bounding box blurring</td><td>Blurring</td><td>Blur license plates (rectangular shape) and faces (oval shape).</td><td>v1.0</td></tr><tr><td>Segmentation blurring</td><td>Blurring</td><td>Blur segmentation masks</td><td>v1.1</td></tr><tr><td>License plate and face</td><td>Detection</td><td> </td><td>v1.0</td></tr><tr><td>Vehicle and person</td><td>Detection</td><td> </td><td>v1.1</td></tr><tr><td>Setting detection thresholds</td><td>Detection</td><td>User can set detection threshold</td><td>v1.0</td></tr><tr><td>Custom tiling</td><td>Detection</td><td>Control how many tiles an image is split into before inference.</td><td>v1.0</td></tr><tr><td>Image blurring</td><td>Image processing</td><td>Blurred image as 3-channel matrices.</td><td>v1.0</td></tr><tr><td>Encode and decode JPEG images</td><td>Image processing</td><td>JPEG images can be loaded and blurred images can be saved as JPEG images.</td><td>v1.0</td></tr><tr><td>Conserve JPEG metdata</td><td>Image processing</td><td>JPEG metadata (XMP, EXIF) are copied over in the anonymised image.</td><td>v1.0</td></tr><tr><td>Detection as structured data</td><td>Detection</td><td>Detection metadata (type and position of bounding box) can be retrieved.</td><td>v1.0</td></tr><tr><td>TensorRT GPU inference</td><td>Inference</td><td>Inference on NVIDIA GPU.</td><td>v1.1</td></tr><tr><td>ONNX CPU inference</td><td>Inference</td><td>Inference on Intel and AMD processors.</td><td>v1.0</td></tr><tr><td>OpenVINO CPU inference</td><td>Inference</td><td>Inference on Intel (and AMD) processors.</td><td> </td></tr><tr><td>Configure multithreading</td><td>Inference</td><td>Set number of threads for CPU processing.</td><td>v1.0</td></tr><tr><td>Object tracking</td><td>Video processing</td><td></td><td> v1.4</td></tr></tbody></table>