def __init__(self, testimg, imgsdirFeliz, imgsdirNeutro, imgsdirMolesto,
egfnum, thrsh):
self.testimg = testimg
self.matchfile = None
self.arregloEmociones = []
self.arregloDistancias = []
self.imgsdirFeliz = os.path.abspath(imgsdirFeliz)
self.imgsdirNeutro = os.path.abspath(imgsdirNeutro)
self.imgsdirMolesto = os.path.abspath(imgsdirMolesto)
self.threshold = thrsh
self.egfnum = egfnum
parts = split(basename(testimg[1]), '.')
extn = parts[len(parts) - 1]
self.facet = eigenfaces.FaceRec()
self.egfnum = self.set_selected_eigenfaces_count(self.egfnum, extn)
self.facet.checkCache(self.imgsdirFeliz, extn, self.imgnamelist,
self.egfnum, self.threshold)
for j in range(len(self.testimg)):
self.mindist, self.matchfile = self.facet.findmatchingimage(
self.testimg[j], self.egfnum, self.threshold)
if self.mindist < 1e-10:
self.mindist = 0
self.emocionMenor = self.mindist
if platform.system() == 'Windows':
self.emocionFinal = split(self.matchfile, '\\')
else:
self.emocionFinal = split(self.matchfile, '/')
self.emocionFinal = self.emocionFinal[len(self.emocionFinal) - 2]
self.arregloEmociones.append(self.emocionFinal)
self.arregloDistancias.append(self.mindist)
def __init__(self, testimg, imgsdir, egfnum, thrsh):
self.testimg = testimg
self.imgsdir = imgsdir
self.threshold = thrsh
self.egfnum = egfnum
parts = split(basename(testimg), '.')
extn = parts[len(parts) - 1]
print '-----------------------------------------------------------------------'
print "To Match:", self.testimg, " to all ", extn, " images in directory:", imgsdir
self.facet = eigenfaces.FaceRec()
self.egfnum = self.set_selected_eigenfaces_count(self.egfnum, extn)
print "number of eigenfaces used:", self.egfnum
self.facet.checkCache(self.imgsdir, extn, self.imgnamelist,
self.egfnum, self.threshold)
mindist, matchfile = self.facet.findmatchingimage(
self.testimg, self.egfnum, self.threshold)
if (matchfile is ""):
print "match file in pyfaces"
matchfile = None
self.file = matchfile
if mindist < 1e-10:
mindist = 0
if not matchfile:
print "NOMATCH! try higher threshold"
else:
print "matches :" + matchfile + "\n dist :" + str(mindist)
def __init__(self, imgsdir, egfnum, thrsh, extn):
self.imgsdir = imgsdir
self.threshold = thrsh
self.egfnum = egfnum
self.facet = eigenfaces.FaceRec()
self.extn = extn
self.egfnum = self.set_selected_eigenfaces_count(self.egfnum, extn)
def __init__(self,testimg,imgsdir,egfnum,thrsh):
self.testimg=testimg
self.imgsdir=imgsdir
self.threshold=thrsh
self.egfnum=egfnum
self.matchfile=''
parts = split(basename(testimg),'.')
extn=parts[len(parts) - 1]
print "mise en correspondance:",self.testimg," avec toutes les ",extn," images d'apprentissage:",imgsdir
self.facet= eigenfaces.FaceRec()
self.egfnum=self.set_selected_eigenfaces_count(self.egfnum,extn)
#print "nombre de Eingenfaces:",self.egfnum
self.facet.checkCache(self.imgsdir,extn,self.imgnamelist,self.egfnum,self.threshold)
mindist,matchfile=self.facet.findmatchingimage(self.testimg,self.egfnum,self.threshold)
if mindist < 1e-10:
mindist=0
if not matchfile:
print "NOMATCH! try higher threshold"
else:
print "Reconnaissance :"+matchfile+" dist :"+str(mindist)
def __init__(self, testimg, imgsdir, egfnum, thrsh):
self.testimg = testimg
self.imgsdir = imgsdir
self.threshold = thrsh
self.egfnum = egfnum
parts = split(basename(testimg), '.')
extn = parts[len(parts) - 1]
#print "to match:",self.testimg," to all ",extn," images in directory:",imgsdir
self.facet = eigenfaces.FaceRec()
self.egfnum = self.set_selected_eigenfaces_count(self.egfnum, extn)
#print "number of eigenfaces used:",self.egfnum
self.facet.checkCache(self.imgsdir, extn, self.imgnamelist,
self.egfnum, self.threshold)
mindist, matchfile = self.facet.findmatchingimage(
self.testimg, self.egfnum, self.threshold)
if mindist < 1e-10:
mindist = 0
if not matchfile:
print '{"matches" :"NOMATCH", "dist" :"0"}'
else:
print '{"matches" :"' + matchfile + '" , "dist" :"' + str(
mindist) + '"}'
def __init__(self, testimg, imgsdir, egfnum, thrsh):
self.testimg = testimg
self.imgsdir = imgsdir
self.threshold = thrsh
self.egfnum = egfnum
parts = split(basename(testimg), '.')
extn = parts[len(parts) - 1]
#print "to match:",self.testimg," to all ",extn," images in directory:",imgsdir
print "Imagen de Prueba:", self.testimg, " para imagenes extension", extn, "en Base de Datos:", imgsdir
self.facet = eigenfaces.FaceRec()
self.egfnum = self.set_selected_eigenfaces_count(self.egfnum, extn)
#print "number of eigenfaces used:",self.egfnum
print "numero de eigenfaces utilizadas:", self.egfnum
self.facet.checkCache(self.imgsdir, extn, self.imgnamelist,
self.egfnum, self.threshold)
mindist, matchfile = self.facet.findmatchingimage(
self.testimg, self.egfnum, self.threshold)
if mindist < 1e-10:
mindist = 0
if not matchfile:
#print "NOMATCH! try higher threshold"
print "NOMATCH! intentar con threshold mas alto"
else:
print "matches :" + matchfile + " dist :" + str(mindist)
