mrgloom

I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.

After a day or two figuring out how to compile the examples, I finally made some progress:

Compiling dlib C++ on a Mac with Homebrew

Clone dlib from Github to your local machine:

	def pca(data,k):
	#data M x N
	#get mean
	mean= np.mean(data,axis=0) # N long
	# print mean.shape
	# print mean

	#M x N
	data_c= (data-mean)
	print data_c.shape

	import numpy as np
	import time

	def read_data():
	#M x N
	data= np.loadtxt("data_3d.txt",delimiter=" ", skiprows=1, usecols=(0,1,2))
	print data.shape
	# print data
	return data

	import numpy as np
	import time

	def read_data():
	#M x N
	data= np.loadtxt("data_3d.txt",delimiter=" ", skiprows=1, usecols=(0,1,2))
	print data.shape
	# print data
	return data

	# Mathieu Blondel, September 2010
	# License: BSD 3 clause

	import numpy as np
	from numpy import linalg
	import cvxopt
	import cvxopt.solvers

	def linear_kernel(x1, x2):
	return np.dot(x1, x2)

	# clear the workspace
	rm(list = ls())

	# load the relevant libraries

	# install.packages(rCUR)
	library(rCUR) # for CUR decomposition
	# install.packages(irlba)
	library(irlba) # for fast svd

	>> a = [1 2 3; 2 5 7; 3 7 9]

	a =

	1 2 3
	2 5 7
	3 7 9

	>> [U S V] = svd(a)

	%gpuDevice() %info about GPU
	clear
	gpuDevice(1); %reset GPU device

	%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
	%test matrix multiplication
	try
	%n= 100;
	for m=100:100:10000
	n=m;

	#include "CsvWriter.h"

	#include <windows.h>

	#include <time.h> // for random number generator

	#include <string>
	#include <vector>
	#include <fstream> // std::ofstream

	+/*
	+ * Author: Samyak Datta (datta[dot]samyak[at]gmail.com)
	+ *
	+ * A program to demonstrate contour detection using the Active Contour
	+ * Model (Snake). The cvSnakeImage() method is applied to detect lip
	+ * contour in a lip ROI image.
	+ *
	+ */
	+
	+#include "opencv2/highgui/highgui.hpp"