From c6271835f19aada74268c24502830a484e1149c7 Mon Sep 17 00:00:00 2001 From: Symisc Systems Date: Tue, 29 May 2018 20:30:47 +0200 Subject: [PATCH] Update README.md --- README.md | 39 +++++++++++++++++++++++++++++---------- 1 file changed, 29 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 6714985..441b823 100644 --- a/README.md +++ b/README.md @@ -4,20 +4,39 @@ SOD is an embedded, modern cross-platform computer vision and machine learning s 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. + +![Multi-class object detection](https://i.imgur.com/Mq98uTv.png) + +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 detection. +* 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. +* 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. +* 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. +* 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. +* Developer friendly support channels. ![face detection using RealNets](https://i.imgur.com/ZLno8Lz.jpg)