from looksAnalysis import *
import numpy as np
from datetime import datetime
la = looksAnalysis('save/la_ocv_v4.pkl')
path = '../faces/'
date_time = datetime.strptime('2012-11-27 11:27:00', '%Y-%m-%d %H:%M:%S')
observerId = '35'
observedId = '03'
la.showPhotos(path, date_time, observerId, observedId)
from looksAnalysis import *
import sys
import numpy as np
import scipy.stats as stats
filename = sys.argv[1]
la = looksAnalysis(filename)
def per(f,n):
return float(f)/float(n)*100
def print_result(title, res, decimals=1, tex=None, write=True):
nCols = len(res[0])
print
print title
colLen = [0 for i in range(nCols)]
for row in res:
colLen = [max(cL, len(str(r))) for cL, r in zip(colLen,row)]
print '-'*(np.sum(colLen) + 3*len(row) + 1)
for row in res:
print '| ' + ' | '.join([('{'+str(n)+':' + str(colLen[n]) + '.' + str(decimals) + 'f}') if isinstance(row[n], float) else ('{'+str(n)+':' + str(colLen[n]) + '}') for n in range(len(row))]).format(*row) + ' |'
print '-'*(np.sum(colLen) + 3*len(row) + 1)
#tex
t = ''
if not tex is None:
if nCols < 2:
t = '\\begin{table}[h!]\n\\begin{center}\n\\begin{tabular}{|c|}\n\\hline\n'
else:
t = '\\begin{table}[h!]\n\\begin{center}\n\\begin{tabular}{|l|' + '|'.join(['r' for i in range(nCols-1)]) + '|}\n\\hline\n'
from looksAnalysis import *
import sys
filename = sys.argv[1]
la = looksAnalysis()
la.setTimetable('horario2.csv', 'bloques2.csv')
la.setPeople('personas.csv')
la.setVideos('duracion_videos_completo.csv')
la.setLooks('matrices.csv', delta=60, useVideos=False)
la.save(filename)
print len(la.looks)
from looksAnalysis import *
#cargar archivos
la1 = looksAnalysis('la_v10_sininfo.pkl')
la2 = looksAnalysis('la_v10_coninfo.pkl')
#buscar en la1 bloques con interacciones que no estan en la2
blocks1 = set([(l.observer._id, str(l.date_time.date()), l.block or 'None') for l in la1.looks])
blocks2 = set([(l.observer._id, str(l.date_time.date()), l.block or 'None') for l in la2.looks])
difference = blocks1 - blocks2
filteredBlocks = set(['r1', 'r2', 'al'])
outfile = 'errors.csv'
with open(outfile, 'w') as o:
l = ','.join(['id','fecha','bloque','inicio','fin']) + '\n'
o.write(l)
for d in difference:
if d[2] in filteredBlocks: continue
if d[2] == 'None':
times = ['' , '']
else:
times = [str(t) for t in la1.getTimes(d[2])]
d = list(d)
d.extend(list(times))
l = ','.join(d) + '\n'
o.write(l)