SOD is an embedded, modern cross-platform computer vision and machine learning software library that expose a set of APIs for deep-learning, advanced media analysis & processing including real-time, multi-class object detection and model training on embedded systems with limited computational resource and IoT devices.
SOD was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in open source as well commercial products.
Designed for computational efficiency and with a strong focus on real-time applications. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models. Built with SOD:
Cross platform, dependency free, amalgamated (single C file) and heavily optimized. Real world use cases includes:
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.
|SOD in 5 minutes or less||A quick introduction to programming with the SOD Embedded C/C++ API with real-world code samples implemented in C.|
|C/C++ API Reference Guide||This document describes each API function in details. This is the reference document you should rely on.|
|C/C++ Code Samples||Real world code samples on how to embed, load models and start experimenting with SOD.|
|License Plate Detection||Learn how to detect vehicles license plates without heavy Machine Learning techniques, just standard image processing routines already implemented in SOD.|
|Porting our Face Detector to WebAssembly||Learn how we ported the SOD Realnets face detector into WebAssembly to achieve Real-time performance in the browser.|
|Downloads||Get a copy of the last public release of SOD, pre-trained models, extensions and more. Start embedding and enjoy programming with.|
|Copyright/Licensing||SOD is an open-source, dual-licensed product. Find out more about the licensing situation there.|
|Online Support Channels||Having some trouble integrating SOD? Take a look at our numerous support channels.|