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

  https://sod.pixlab.io

 

SOD Embedded

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.
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.