-
Notifications
You must be signed in to change notification settings - Fork 0
/
dataset.py
57 lines (48 loc) · 2.05 KB
/
dataset.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
import math
import os
import shutil
import sys
def creacion_dataset(path_images='img'):
try:
route_root = os.getcwd()
route_dataset = os.path.join(route_root, 'dataset')
images_in_folder_root = os.path.join(route_root, path_images)
if ('dataset' not in os.listdir()):
os.makedirs('dataset')
# Obtener las clases de las poses
folder_class = sorted(
[n for n in os.listdir(images_in_folder_root)]
)
for pose_class_name in folder_class:
# ruta para las clases de pose
images_in_folder = os.path.join(
images_in_folder_root, pose_class_name)
# Numero de imagenes por clase
list_image = os.listdir(images_in_folder)
num_image = len(list_image)
# print(pose_class_name, num_image)
# 80% de las imagenes para entrenaminto
train_image = math.trunc(num_image * 0.8)
# print('train', pose_class_name, train_image)
print('Reparticion de imagenes ' + pose_class_name + ' train')
# Creando el dataset para train y test
route = os.path.join(route_dataset, 'train', pose_class_name)
os.makedirs(route, exist_ok=True)
for index, image in enumerate(list_image):
if train_image == index+1:
print('Reparticion de imagenes ' +
pose_class_name + ' test')
route = os.path.join(
route_dataset, 'test', pose_class_name)
os.makedirs(route, exist_ok=True)
src = os.path.join(images_in_folder, image) # origen
dst = os.path.join(route, image) # destino
shutil.copyfile(src, dst)
print('Dataset creado 👻👌')
except:
print('Ocurrio un problema al crear el dataset')
if __name__ == '__main__':
if len(sys.argv) == 2 and sys.argv[1] == 'augmentation':
creacion_dataset('dataset_augmentation')
else:
creacion_dataset()