An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IOT Capable)
Symisc Systems 20eb7e5336
SOD Embedded Release 1.1.8
1 month ago
WebAssemby Usage instruction of the WebAssembly face detector model 1 month ago
samples Minutiae feature extraction for fingerprint images 1 month ago
.travis.yml Travis build setup & Makefile template 8 months ago
LICENSE Dual Licensed 1 month ago
Makefile Travis build setup & Makefile template 8 months ago Release note 1 month ago
sod.c SOD Embedded Release 1.1.8 1 month ago
sod.h Main entry point for the host application 1 month ago
sod_img_reader.h Accompanying header files for reading images (Mem & Disk) 1 month ago
sod_img_writer.h Accompanying header files for reading images (Mem & Disk) 1 month ago


An Embedded Computer Vision & Machine Learning Library

Build Status API documentation dependency Getting Started license Mailing list Gitter


SOD Embedded

Release 1.1.8

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:

Multi-class object detection

Cross platform, dependency free, amalgamated (single C file) and heavily optimized. Real world use cases includes:

  • Detect & recognize objects (faces included) at Real-time.
  • License plate extraction.
  • Intrusion detection.
  • Mimic Snapchat filters.
  • Classify human actions.
  • Object identification.
  • Eye & Pupil tracking.
  • Facial & Body shape extraction.
  • Image/Frame segmentation.

Notable SOD features

  • Built for real world and real-time applications.
  • State-of-the-art, CPU optimized deep-neural networks including the brand new, exclusive RealNets architecture.
  • Patent-free, advanced computer vision algorithms.
  • Support major image format.
  • Simple, clean and easy to use API.
  • Brings deep learning on limited computational resource, embedded systems and IoT devices.
  • Easy interpolatable with OpenCV or any other proprietary API.
  • Pre-trained models available for most architectures.
  • CPU capable, RealNets model training.
  • Production ready, cross-platform, high quality source code.
  • SOD is dependency free, written in C, compile and run unmodified on virtually any platform & architecture with a decent C compiler.
  • Amalgamated - All SOD source files are combined into a single C file (sod.c) for easy deployment.
  • Open-source, actively developed & maintained product.
  • Developer friendly support channels.
  • 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
    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.

    Other useful links

    Resources Description
    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.

    face detection using RealNets