make_limited_datasets.py

# https://deeplearningcourses.com/c/advanced-computer-vision
# https://www.udemy.com/advanced-computer-vision
import os

def mkdir(p):
  if not os.path.exists(p):
    os.mkdir(p)

def link(src, dst):
  if not os.path.exists(dst):
    os.symlink(src, dst, target_is_directory=True)

mkdir('../large_files/fruits-360-small')


classes = [
  'Apple Golden 1',
  'Avocado',
  'Lemon',
  'Mango',
  'Kiwi',
  'Banana',
  'Strawberry',
  'Raspberry'
]

train_path_from = os.path.abspath('../large_files/fruits-360/Training')
valid_path_from = os.path.abspath('../large_files/fruits-360/Validation')

train_path_to = os.path.abspath('../large_files/fruits-360-small/Training')
valid_path_to = os.path.abspath('../large_files/fruits-360-small/Validation')

mkdir(train_path_to)
mkdir(valid_path_to)


for c in classes:
  link(train_path_from + '/' + c, train_path_to + '/' + c)
  link(valid_path_from + '/' + c, valid_path_to + '/' + c)