Awesome

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

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 their <a href="https://pixlab.io/downloads">pre-trained models</a>. Built with SOD:

• <a href="https://sod.pixlab.io/intro.html#cnn">Convolutional Neural Networks (CNN)</a> for multi-class (20 and 80) object detection & classification.
• <a href="https://sod.pixlab.io/api.html#cnn">Recurrent Neural Networks (RNN)</a> for text generation (i.e. Shakespeare, 4chan, Kant, Python code, etc.).
• <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>.

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 <a href="https://sod.pixlab.io/intro.html#realnets">RealNets architecture</a>.
• Patent-free, advanced computer vision <a href="https://sod.pixlab.io/samples.html">algorithms</a>.
• Support major <a href="https://sod.pixlab.io/api.html#imgproc">image format</a>.
• Simple, clean and easy to use <a href="https://sod.pixlab.io/api.html">API</a>.
• Brings deep learning on limited computational resource, embedded systems and IoT devices.
• Easy interpolatable with <a href="https://sod.pixlab.io/api.html#cvinter">OpenCV</a> or any other proprietary API.
• <a href="https://pixlab.io/downloads">Pre-trained models</a> available for most architectures.</li>
• CPU capable, <a href="https://sod.pixlab.io/c_api/sod_realnet_train_start.html">RealNets model training</a>.
• 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.
• <a href="https://pixlab.io/downloads">Amalgamated</a> - All SOD source files are combined into a single C file (sod.c) for easy deployment.
• 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.

Other useful links