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/sodPublic

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

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API documentationdependencyGetting StartedlicenseForumTiny Dreal

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SOD Embedded

Release 1.1.9 (July 2023) |Changelog |Downloads

SOD is an embedded, modern cross-platform computer vision and machine learning software library that exposes 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 theirpre-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, exclusiveRealNets architecture.
  • Patent-free, advanced computer visionalgorithms.
  • Support majorimage format.
  • Simple, clean and easy to useAPI.
  • Brings deep learning on limited computational resource, embedded systems and IoT devices.
  • Easy interpolatable withOpenCV 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 friendlysupport 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.

ResourcesDescription
SOD in 5 minutes or lessA quick introduction to programming with the SOD Embedded C/C++ API with real-world code samples implemented in C.
C/C++ API Reference GuideThis document describes each API function in details. This is the reference document you should rely on.
C/C++ Code SamplesReal world code samples on how to embed, load models and start experimenting with SOD.
License Plate DetectionLearn 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 WebAssemblyLearn how we ported theSOD Realnets face detector into WebAssembly to achieve Real-time performance in the browser.

Other useful links

ResourcesDescription
DownloadsGet a copy of the last public release of SOD, pre-trained models, extensions and more. Start embedding and enjoy programming with.
Copyright/LicensingSOD is an open-source, dual-licensed product. Find out more about the licensing situation there.
Online Support ChannelsHaving some trouble integrating SOD? Take a look at our numerous support channels.

face detection using RealNets


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