def refresh_dataTrain(request):
# label, directory = get_Dataset('data_train')
lbp, label, directory = get_lbpDataset('data_train', 8, 4)
# local = get_lbpDataset('data_train', 8, 4)
# print(local)
DB.delete_all('tb_fastDataTraining')
for x in range(len(label)):
# # file_name = os.path.join("/home/night/Documents/Python3/TA_Wasis/myWebsite/",directory[x])
string = ""
for z in lbp[x]:
if string == "":
string = str(z)
else:
string += "," + str(z)
data_tabel = {
'lbp': string,
'label': label[x],
'directory': directory[x],
# 'file_name' : file_name,
}
DB.insert('tb_fastDataTraining', data_tabel)
return redirect('fast_train')
def index(request):
label, directory = get_Dataset('data_train')
# local = get_lbpDataset('data_train', 8, 4)
# print(local)
DB.delete_all('tb_dataTraining')
for x in range(len(label)):
# file_name = os.path.join("/home/night/Documents/Python3/TA_Wasis/myWebsite/",directory[x])
# string = ""
# for z in data[x]:
# if string == "":
# string = str(z)
# else:
# string += ","+str(z)
data_tabel = {
# 'lbp' : string,
'label': label[x],
'directory': directory[x],
# 'file_name' : file_name,
}
DB.insert('tb_dataTraining', data_tabel)
tb_dataTraining = DB.find('tb_dataTraining')
# data_train[0][0]
# for data in data_train:
# for dt in data:
# print(dt)
# print("\n")
# print(data[0])
# print(data['label'])
# print(data['directory'])
# print("\n")
context = {
'Judul': 'Dataset',
'SubJudul':
'Berikut dataset yang akan digunakan sebagai data training k-NN',
'tb_dataTraining': tb_dataTraining
# 'data' : data,
# 'label': label,
# 'directory':directory
}
return render(request, 'Data_Train/index.html', context)
