SOD

An Embedded Computer Vision & Machine Learning Library
sod.pixlab.io

• Introduction.
• Features.
• Programming with SOD.
• Useful Links.

SOD Embedded

Release 1.1.8

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 their pre-trained models. Built with SOD:

• Convolutional Neural Networks (CNN) for multi-class (20 and 80) object detection & classification.
• Recurrent Neural Networks (RNN) for text generation (i.e. Shakespeare, 4chan, Kant, Python code, etc.).
• Decision trees for single class, real-time object detection.
• A brand new architecture written specifically for SOD named RealNets.

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.

Other useful links