symisc/sod

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. SOD includes a comprehensive set of both classic and state-of-the-art deep-neural networks with their pre-trained models. Cross platform, dependency free, amalgamated (single C file) and heavily optimized. The documentation works both as an API reference and a programming tutorial.