kevinhughes27

CC = g++
CFLAGS = -g -Wall
 
SRCS = HelloWorld.cpp
PROG = HelloWorld.exe
 
OPENCV = -I"C:\opencv\build\include" -L"C:\opencv\build\x86\mingw\lib" -lopencv_core243 -lopencv_highgui243
 
$(PROG) : $(SRCS)
    $(CC) $(CFLAGS) -o $(PROG) $(SRCS) $(OPENCV)

kevinhughes27

CC = g++
CFLAGS = -g -Wall
SRCS = HelloWorld.cpp
PROG = HelloWorld

OPENCV = `pkg-config opencv --cflags --libs`
LIBS = $(OPENCV)

$(PROG):$(SRCS)
	$(CC) $(CFLAGS) -o $(PROG) $(SRCS) $(LIBS)

kevinhughes27

# add these lines to your .pro file

INCLUDEPATH += /usr/local/lib

LIBS +=`pkg-config opencv --cflags --libs`

kevinhughes27

cmake_minimum_required(VERSION 2.8 FATAL_ERROR)

project(HelloWorld)
set(EXE HelloWorld)

find_package(PCL 1.6 REQUIRED)
include_directories(${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS})
add_definitions(${PCL_DEFINITIONS})

kevinhughes27

#!/bin/bash

set -e
cd $(readlink -f $(dirname $0))
exec ./exe $*

kevinhughes27

#include "FlyCapture2.h"

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

#include <iostream>

using namespace FlyCapture2;

int main()

kevinhughes27

using namespace Eigen;
typedef Matrix< float64_t, Dynamic, Dynamic, ColMajor > EMatrix;

using std::cout;
using std::endl;

void print(EMatrix A)
{
	int n = A.rows();
	int m = A.cols();

kevinhughes27

using namespace Eigen;

// these are the typedefs I like to work with
typedef Matrix< double, Dynamic, 1, ColMajor > EVector;
typedef Matrix< double, Dynamic, Dynamic, ColMajor > EMatrix;

// Mean
EVector mean = X.rowwise().sum() / X.rows();	

// Standard Deviation

kevinhughes27

/* Using OpenCV and Shogun Machine Learning
 * gist by Kevin Hughes
 */

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

#include <shogun/base/init.h>
#include <shogun/lib/common.h>
#include <shogun/lib/SGMatrix.h>

kevinhughes27

#!/usr/bin/env python

# robust_pca_project.py
#
# Author: Kevin Hughes
# Date: May 2013 

"""
An Implementation of the robust subspace projection technique described in: