SOD Introduction

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@ -10,7 +10,7 @@ Designed for computational efficiency and with a strong focus on real-time appli
* <a href="https://sod.pixlab.io/samples.html">Decision trees</a> for single class, real-time object detection.
* A brand new architecture written specifically for SOD named <a href="https://sod.pixlab.io/intro.html#realnets">RealNets</a>.
![Multi-class object detection](https://i.imgur.com/Mq98uTv.png)
![Multi-class object detection](https://i.imgur.com/Mq98uTv.png)
Cross platform, dependency free, amalgamated (single C file) and heavily optimized. Real world use cases includes:
* Detect & recognize objects (faces included) at Real-time.
@ -39,4 +39,22 @@ Cross platform, dependency free, amalgamated (single C file) and heavily optimiz
* Open-source, actively developed & maintained product.
* Developer friendly <a href="https://sod.pixlab.io/support.html">support channels.</a>
## Programming Interfaces
The documentation works both as an API reference and a programming tutorial. It describes the internal structure of the library and guides one in creating applications with a few lines of code. Note that SOD is straightforward to learn, even for new programmer.
Resources | Description
------------ | -------------
<a href="https://sod.pixlab.io/intro.html">SOD in 5 minutes or less</a> | A quick introduction to programming with the SOD Embedded C/C++ API with real-world code samples implemented in C.
<a href="https://sod.pixlab.io/api.html">C/C++ API Reference Guide</a> | This document describes each API function in details. This is the reference document you should rely on.
<a href="https://sod.pixlab.io/samples.html">C/C++ Code Samples</a> | Real world code samples on how to embed, load models and start experimenting with SOD.
## Other useful links
Resources | Description
------------ | -------------
<a href="https://pixlab.io/downloads">Downloads</a> | Get a copy of the last public release of SOD, pre-trained models, extensions and more. Start embedding and enjoy programming with.
<a href="https://pixlab.io/sod">Copyright/Licensing</a> | SOD is an open-source, dual-licensed product. Find out more about the licensing situation there.
<a href="https://sod.pixlab.io/support.html">Online Support Channels</a> | Having some trouble integrating SOD? Take a look at our numerous support channels.
![face detection using RealNets](https://i.imgur.com/ZLno8Lz.jpg)

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