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@ -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. 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 <a href="https://pixlab.io/downloads" target="_blank">pre-trained models</a>. 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 <a href="https://pixlab.io/downloads">pre-trained models</a>. Built with SOD:
* <a href="https://sod.pixlab.io/intro.html#cnn">Convolutional Neural Networks (CNN)</a> for multi-class (20 and 80) object detection & classification. * <a href="https://sod.pixlab.io/intro.html#cnn">Convolutional Neural Networks (CNN)</a> for multi-class (20 and 80) object detection & classification.
* <a href="https://sod.pixlab.io/api.html#cnn">Recurrent Neural Networks (RNN)</a> for text generation (i.e. Shakespeare, 4chan, Kant, Python code, etc.). * <a href="https://sod.pixlab.io/api.html#cnn">Recurrent Neural Networks (RNN)</a> for text generation (i.e. Shakespeare, 4chan, Kant, Python code, etc.).
* <a href="https://sod.pixlab.io/samples.html">Decision trees</a> for single class, real-time object detection. * <a href="https://sod.pixlab.io/samples.html">Decision trees</a> 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 <a href="https://sod.pixlab.io/api.html">API</a>. * Simple, clean and easy to use <a href="https://sod.pixlab.io/api.html">API</a>.
* Brings deep learning on limited computational resource, embedded systems and IoT devices. * Brings deep learning on limited computational resource, embedded systems and IoT devices.
* Easy interpolatable with <a href="https://sod.pixlab.io/api.html#cvinter">OpenCV</a> or any other proprietary API. * Easy interpolatable with <a href="https://sod.pixlab.io/api.html#cvinter">OpenCV</a> or any other proprietary API.
* <a href="https://pixlab.io/downloads" target="_blank">Pre-trained models</a> available for most architectures.</li> * <a href="https://pixlab.io/downloads">Pre-trained models</a> available for most architectures.</li>
* CPU capable, <a href="https://sod.pixlab.io/c_api/sod_realnet_train_start.html">RealNets model training</a>. * CPU capable, <a href="https://sod.pixlab.io/c_api/sod_realnet_train_start.html">RealNets model training</a>.
* Production ready, cross-platform, high quality source code. * Production ready, cross-platform, high quality source code.
* SOD is dependency free, written in C, compile and run unmodified on virtually any platform &amp; architecture with a decent C compiler. * SOD is dependency free, written in C, compile and run unmodified on virtually any platform &amp; architecture with a decent C compiler.

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