def cut_face():
num_usuario = 1
[total_usuarios, usuarios] = cadastro.getusers()
while num_usuario <= total_usuarios:
name = usuarios[num_usuario - 1]
path_users = diretorio + '/BancoDeDados/Originais/' + str(name)
total_img = os.listdir(path_users)
total_img = len(total_img)
index_inicio = str(name).find('_') + 1
index_fim = len(str(name))
nome_img = str(name)[index_inicio:index_fim]
num_img = 1
while num_img <= total_img:
path_image = diretorio + '/BancoDeDados/Originais/' + str(
name) + '/' + nome_img + str(num_img) + '.jpg'
image = cv2.imread(path_image)
faces = viola_jones(image)
if len(faces) > 1:
print('Existe mais de uma face na camera.')
if len(faces) == 0:
print(('\n\nFace nao encontrada na imagem:\n {}'.format(
path_image)))
if len(faces) == 1:
#desenhando retangulo ao redor de cada face:
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x + w, y + h), (255, 255, 0),
2)
so_face = image[
y:y + w,
x:x + h] #recortando imagem atraves do retangulo
so_face = cv2.cvtColor(so_face, cv2.COLOR_BGR2GRAY)
path_so_face = diretorio + '/BancoDeDados/PreProcess/' + str(
name) + '/' + nome_img + str(num_img) + 'p.pgm'
cv2.imwrite(path_so_face, so_face) #salvando a imagem
num_img = num_img + 1
num_usuario = num_usuario + 1
import io
import numpy as np
from numpy import linalg as la
import cv2
import cv2.cv
import os
import cadastro_usuarios as cadastro
import preprocess as pp
import filter_proj as flt
import math
import time
num_usuario = 1
[total_usuarios, usuarios] = cadastro.getusers()
while num_usuario <= total_usuarios:
name = usuarios[num_usuario-1]
print '\n\nxxxxxxxxxxxxxxxxxxxxxxxxxxx'
print name
path_users = '/home/caroline/Documentos/Smart_room/BancoDeDados/PreProcess/' + str(name)
total_img = os.listdir(path_users)
total_img = len(total_img)
#total_img = 40
index_inicio = str(name).find('_') +1
index_fim = len(str(name))
nome_img = str(name)[index_inicio: index_fim]
num_img = 1
indice = np.array(range(1,total_img+1,1))