Tag: C++

OpenCV & ML (Deep Learning) 04 – Classification and Mulit-layer Perceptron (MLP)

Employing OpenCV’sMulti-layer Perceptron from Artificial Neural Network module (ANN_MLP) for classifying various classes of samples drawn from multi variant normal distribution with different man and co-variance matrices. The example for 2-dimension samples are visualized in OpenCV and for upper dimensions bench-marked against Keras (with TensorFlow backend) results. In the previous tutorial we modeled a simple

OpenCV & ML (Deep Learning) 03 – Regression and Mulit-layer Perceptron (MLP)

Utilizing OpenCV’s Multi-layer Perceptron from Artificial Neural Network module (ANN_MLP) for predicting a periodic or parabola 1-dimensional function (A regression problem). Samples are drawn randomly within a specific range in function domain meanwhile a rectangular (uniform distributed) or Gaussian (normal distributed) noise are applied to them. Now, we could step forward and practice a much

OpenCV & ML (Deep Learning) 01 – Building library from Source

Building OpenCV 3.3 library via source codes cloned from github.com. The library is build with contribute modules of OpenCV. CMake is used for configuring the build options. The default install target is modified in order to provide the possibility of  using different build configurations in one system. The CUDA and OpenNI modules are skipped among

Walpresk

If your desktop looks monotonous and boring and you don’t have time to search and download new background wallpapers every day this application will help you. This is actually a utility program. I have developed it for my own entertainment and then decided to share it to public for free. The bing.com provides daily wallpapers

Combat Simulator

The project has started three years ago with a lengthy timetable and todo list including lots of capabilities. It had been under development for 9 months and then suspended for a long period of time until recently that I decided to post it and reprogram the project in order to conform it to the new

Facial Studio

This project is still in progress. It aims to detect facial expressions from camera and apply it to an artificial model which is graphically controlled by muscles naturally inspired from human facial. The program is capable of applying any texture to artificial facial model and one of the target features is to add an option

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