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Tutorials for Deep Learning

UFLDL: http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial

CS231n@Standford: http://cs231n.stanford.edu/syllabus.html

DL Summer School 2015:https://sites.google.com/site/deeplearningsummerschool/schedule

BIL 722@Hacettepe University:http://web.cs.hacettepe.edu.tr/~aykut/classes/spring2016/bil722/

CSC2523@University of Toronto:http://www.cs.utoronto.ca/~fidler/teaching/2015/CSC2523.html

Deep Learning Software/ Framework links

Theano – CPU/GPU symbolic expression compiler in python (from MILA lab at University of Montreal)

Torch – provides a Matlab-like environment for state-of-the-art machine learning algorithms in lua (from Ronan Collobert, Clement Farabet and Koray Kavukcuoglu)

Pylearn2 – Pylearn2 is a library designed to make machine learning research easy.

Blocks – A Theano framework for training neural…

OpenCV 3.1 with CUDA , QT , Python Complete Installation on Windows in With Extra Modules

OpenCV 3.1 with CUDA , QT , Python Complete Installation on Windows in With Extra Modules

The description here was tested on Windows 8.1 Pro. Nevertheless, it should also work on any other relatively modern version of Windows OS. If you encounter errors after following the steps described below, feel free to contact me.

Note :  To use the OpenCV library you have two options: Installation by Using…

Installing OpenCV 3.0 and Python 3.4  on Windows

I recently decided to update to the newest OpenCV version (3.0) and wanted to add Python 3.4+ along with it. It took me a couple hours to set up because I couldn’t find a good tutorial on how to install them on Windows. So, here’s my attempt at a tutorial based on what I have just been through. Hope it helps.

For the rest of this post, I will show…

Databases for Multi-camera , Network Camera , E-Surveillace

Multi-view, Multi-Class Dataset: pedestrians, cars and buses

This dataset consists of 23 minutes and 57 seconds of synchronized frames taken at 25fps from 6 different calibrated DV cameras. One camera was placed about 2m high of the ground, two others where located on a first floor high, and the rest on a second floor to cover an area of 22m x 22m. The sequence was recorded at the EPFL…

How to use Twitter as a scientist #HEMBAD

if you are a scientist, with “joining Twitter” and then “doing stuff with Twitter” on your To Do list, you might feel a little intimidated by the long list of possible people to follow. Moreover, following @CNN and @BarackObama might be the first thing you do, and might be suggested to you, but these are not your main sources of scientific joy and information.

So let’s take this step by step.…

HOW TO PASS COMMAND-LINE ARGUMENTS IN ECLIPSE IDE?

New Java Project

Create a new Java Project and name it as “CommandLineArguments“

Right click on Package Explorer -> New -> Project -> Select Java Project

New package

Create a new Package and name it as “commandline“

Right click on src -> New -> Package

New Class

Create a new Java Class and name it as “AdditionOfTwoNumbers” in the package “commandline“. Make sure you select main method option.

Ri…

CUDA is the language of Nvidia GPU’s.  To extract maximum performance from GPU’s, you’ll want to develop applications in CUDA.

CUDA Toolkitis the primary IDE (integrated development environment) for developing CUDA-enabled applications.  The main roles of the Toolkit IDE are to simplify the software development process, maximize software developer productivity, and provide features that enhance…

CUDA Random Example

In order to use cuRAND, we need to add two include files into our program:

#include <curand.h> #include <curand_kernel.h>

cuRAND uses a curandState_t type to keep track of the state of the random sequence. The normal C rand function also has a state, but it is global, and hidden from the programmer. This makesrand not thread-safe, but easier to use.

A…

Popular Filters

When smoothing or blurring images (the most popular goal of smoothing is to reduce noise), we can use diverse linear filters, because linear filters are easy to achieve, and are kind of fast, the most used ones are Homogeneous filter, Gaussian filter, Median filter, et al.

When performing a linear filter, we do nothing but output pixel’s value g(i,j)  which is determined as a…

Basic drawing examples of OpenCV

Drawing a line

void line(Mat& img, Point pt1, Point pt2, const Scalar& color, int thickness=1, int lineType=8, int shift=0) Parameters:

img – Image.

pt1 – First point of the line segment.

pt2 – Second point of the line segment.

color – Line color.

thickness – Line thickness.

lineType – Type of the line:

8 (or omitted) – 8-connected line.

4 – 4-connected line.

CV_AA – antialiased line.

shift–…

cppconlib: A C++ library for working with the Windows console

cppconlib is built with C++11 features and requires Visual Studio 2012 or newer. The library is available in a single header called conmanip.h and provides a set of helper classes, functions and constants for manipulating a Windows console (using the Windows console functions). The library features the following components:

console_context: represents a context object for console operations; its…

OpenCV: Color-spaces and splitting channels

Conversion between color-spaces

Our goal here is to visualize each of the three channels of these color-spaces: RGB, HSV, YCrCb and Lab. In general, none of them are absolute color-spaces and the last three (HSV, YCrCb and Lab) are ways of encoding RGB information. Our images will be read in BGR (Blue-Green-Red), because of OpenCV defaults. For each of these color-spaces there is a mapping…

These file rename software let you rename multiple files easily. All these file rename software are completely free and can be downloaded to Windows PC. These file rename softwareoffer various features, like: rename multiple files at once,rename files as well as folders including sub-folders, can add, remove, replace strings to file names, can copy and rename, move and rename files, supports all…

OpenCV CUDA Sample Program

Design considerations

OpenCV GPU module is written using CUDA, therefore it benefits from the CUDA ecosystem. There is a large community, conferences, publications, many tools and libraries developed such as NVIDIA NPP, CUFFT, Thrust.

The GPU module is designed as host API extension. This design provides the user an explicit control on how data is moved between CPU and GPU memory. Although the…

OpenCV on CUDA Performance Comparison

Performance Table

For where i work, i had to test a lot of different GPU’s with come OpenCV GPU CUDA C++ functions, the GPU’s will end up in some rackservers. Anyhow, i tested some functions. You can press the figure to get a link to the performance table that is hosted with Google Docs.

Models tested Computing Model Cuda V. Cores Frequency [MHz] Speedup (avg.) Intel i2600K~ 4 3400 1…