Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1M<n<10M
ArXiv:
License:
Building dataset tree helper for pytorch users
#17
by
FalsoMoralista
- opened
Train dataset
Untar the tarballs into the "train" and "val" directories then use the following:
import os
import shutil
train_images = os.listdir('train/')
for image in train_images:
split = image.split('_')
cls_name = split[0]
if not os.path.exists('train/' + cls_name):
#print('creating dir: ', 'train/' + cls_name)
os.makedirs('train/' + cls_name, exist_ok=True)
src = 'train/' + image
destination = 'train/' + cls_name + '/'
#print('moving')
#print(src)
#print(destination)
shutil.move(src, destination)
Val dataset
A minor adjustment has to be performed here because the val directories are being named as "cls_name.JPG" which might cause issues
i haven't tried but perhaps doing > cls_name = cls_name.replace(".JPG", "") might solve the issue
import os
import shutil
val_images = os.listdir('val/')
for image in val_images:
split = image.split('_')
cls_name = split[3]
if not os.path.exists('val/' + cls_name):
#print('creating dir: ', 'val/' + cls_name)
os.makedirs('val/' + cls_name, exist_ok=True)
src = 'val/' + image
destination = 'val/' + cls_name + '/'
#print('moving')
#print(src)
#print(destination)
shutil.move(src, destination)
thanks