ddbuscombe

try: import simplejson as json
except ImportError: import json

import os
import urllib, urlparse
import glob
import numpy as np
import Image
from itertools import combinations
import simplejson as json

ddbuscombe

imlist=[]
for infile in glob.glob( os.path.join(path, '*.jpg') ):
     imlist.append(infile)
imlist=np.sort(imlist)

features = np.zeros([len(imlist),512])

for i,f in enumerate(imlist):
    im = np.array(Image.open(f))
    h, edges = np.histogramdd(im.reshape(-1,3),8,normed=True, range=[(0,255),(0,255),(0,255)])

ddbuscombe

def get_alpha_shape(infile,radius):
    command = "%s -A -aa %s -r -m10000000 -oN -oFpoints < %s" % (hull_path, str(radius), infile)
    print >> sys.stderr, "Running command: %s" % command
    retcode = subprocess.call(command, shell=True)
    results_file = open("points-alf")
    results_file.next() 
    results_indices = [[int(i) for i in line.rstrip().split()] for line in results_file]
    results_file.close()
    return results_indices

ddbuscombe

hull_path = "./hull"
infile='C.txt'
with open(infile, 'w') as f:
   np.savetxt(f, C.T, delimiter=' ', fmt="%0.7f %0.7f\n") 

radius=1
indices = get_alpha_shape(infile,radius)
alpha=C.T[indices]
plot(C[0],C[1],'.'), plot(alpha[1:].T[0],alpha[1:].T[1],'r')
savefig("C_radius="+str(radius)+".png")

ddbuscombe

import numpy as np
from scipy.cluster.vq import kmeans,vq 
from pylab import *

def patchwork(data,numsegs,numclass):
    # computing K-Means with K = numsegs
    centroids,_ = kmeans(data,numsegs)
    # assign each sample to a cluster
    idx,_ = vq(data,centroids)
    # loop through number of classes

ddbuscombe

CC = gcc
AR = ar
OBJS = hull.o ch.o io.o rand.o pointops.o fg.o
HDRS = hull.h points.h pointsites.h stormacs.h
SRC = hull.c ch.c io.c rand.c pointops.c fg.c
PROG = hull
BINDIR = /usr/bin
LIBDIR = /usr/lib64   # or just /usr/lib on a 32 bit machine?
LIB = $(LIBDIR)/lib$(PROG).a

ddbuscombe

s = urlread('http://s1270.photobucket.com/albums/SERVERNAME/YOURUSERNAME/YOURALBUMNAME/?start=all');
indices = regexp(s,'pbthumburl=');

for k=1:length(indices)
    tmp=strtrim(s(indices(k):indices(k)+100));
    tmp=tmp(regexp(tmp,'"','once')+1:end);
    tmp=tmp(1:regexp(tmp,'"','once')-1);
    system(['wget ',tmp(1:regexp(tmp,'th_')-1),tmp(regexp(tmp,'th_')+3:end)]);
end

ddbuscombe

function P = bwconvhull_alt(BW)

% usage: P is a binary image wherein the convex hull of objects are returned, BW is the input binary image
% P= bwconvhull_alt(BW);

warning off all
s=regionprops(logical(BW),'ConvexImage','BoundingBox');
P=zeros(size(BW));
for no=1:length(s)
P(s(no).BoundingBox(2):s(no).BoundingBox(2)+s(no).BoundingBox(4)-1,...

ddbuscombe

addpath(genpath('~/googleearth'))

dat=importdata('myFile.csv');
maps=dat.textdata(:,2);
prices=dat.data;

for i=1:size(maps,1)

    address=char(maps(i,:));
    address=address(regexp(address,'loc')+3:end);

ddbuscombe

function [lat,lon] = geocode(address)

fid=fopen('test.py','wt');
fprintf(fid,'%s\n','from pygeocoder import Geocoder');
fprintf(fid,'%s\n',['results = Geocoder.geocode(''',deblank(address),''')']);
fprintf(fid,'%s\n','print results[0].coordinates');
fclose(fid);

[stat1,stat2]=system('python test.py');
stat2=deblank(stat2);