SOD - An Embedded Computer Vision & Machine Learning Library

sod.pixlab.io

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.

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.