def testload(path="Dataset_lab/RESIZE2/CROP", size=400):
test_number = 6
t_operasi1 = time()
label, average, eigenface, subtracted_average, bobot = util.loadTrainingFromNPZ(
path="EigenUtil/BPPT/CROP2", size=size, number_of_training=10)
akurasi, accuracy, recall, precision, error_rate = evaluasi.evaluasiPrecisionAndRecall(
path=path,
size=size,
testnumber=test_number,
average=average,
eigenfaces=eigenface,
bobot=bobot)
t_operasi3 = time()
t_waktu_eksekusi = t_operasi3 - t_operasi1
nama_file = "hasil/DatasetBPPT/EigenfaceBPPT2_size" + str(
size) + "_TRNum" + str(5) + "_TestNum" + str(test_number) + ".json"
with open(nama_file, "w") as fp:
fp.write("akurasi (Individu): {}\n".format(
json.dumps(akurasi, indent=2)))
# fp.write("nilai: {}\n".format(json.dumps(kl, indent=2)))
fp.write("akurasi (ALL){}\n".format(json.dumps(accuracy)))
fp.write("recall (ALL){}\n".format(json.dumps(recall)))
fp.write("precision (ALL){}\n".format(json.dumps(precision)))
fp.write("errorRate (ALL){}\n".format(json.dumps(error_rate)))
fp.write("Durasi {}\n".format(json.dumps(t_waktu_eksekusi)))
def testCaseDatasetLab(path="Dataset_lab/RESIZE2/CROP"):
# sizes = [12, 25, 64, 100, 125, 320]
# training_numbers = [1, 2, 3, 4, 5, 6, 7, 8]
sizes = [400]
# sizes = [12]
training_numbers = [4, 5, 6, 7, 8, 9, 10]
test_number = 6
for size in sizes:
for num in training_numbers:
t_operasi1 = time()
# label, average, eigenface, subtracted_average, bobot = util.getEigenUtil(path="EigenUtil/BPPT",size=size, number_of_training=num)
label, average, eigenface, subtracted_average, bobot = util.loadTrainingFromNPZ(path="EigenUtil/BPPT/CROP2",
size=size,
number_of_training=num)
akurasi, accuracy, recall, precision, error_rate = evaluasi.evaluasiPrecisionAndRecall(
path=path,
size=size,
testnumber=test_number,
average=average,
eigenfaces=eigenface,
bobot=bobot)
t_operasi3 = time()
t_waktu_eksekusi = t_operasi3 - t_operasi1
nama_file = "hasil/DatasetBPPT/EigenfaceBPPT2_size" + str(size) + "_TRNum" + str(num) + "_TestNum" + str(
test_number) + ".json"
with open(nama_file, "w") as fp:
fp.write("akurasi (Individu): {}\n".format(json.dumps(akurasi, indent=2)))
# fp.write("nilai: {}\n".format(json.dumps(kl, indent=2)))
fp.write("akurasi (ALL){}\n".format(json.dumps(accuracy)))
fp.write("recall (ALL){}\n".format(json.dumps(recall)))
fp.write("precision (ALL){}\n".format(json.dumps(precision)))
fp.write("errorRate (ALL){}\n".format(json.dumps(error_rate)))
fp.write("Durasi {}\n".format(json.dumps(t_waktu_eksekusi)))
def mainWebcam(path=None, size=250, channel=0):
if path == None:
path = "EigenUtil"
label, average, eigenface, subtracted_average, bobot = util.loadTrainingFromNPZ(
path=path, size=size)
WebcamHandler.webcam(size=size,
average=average,
eigenfaces=eigenface,
labels=label,
bobot=bobot,
channel=channel)