From 5a473d504369df62b9e010e0f55a66fac62f2f20 Mon Sep 17 00:00:00 2001 From: Symisc Systems Date: Tue, 29 May 2018 20:33:07 +0200 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 441b823..74298b2 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ 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: +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. @@ -31,7 +31,7 @@ Cross platform, dependency free, amalgamated (single C file) and heavily optimiz * 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. +* 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.