PrepareDatasets.py

import sys
import os
import shutil

from tqdm import tqdm


def CreateYaml(newDatasetFolder):
  pathYaml = f'{newDatasetFolder}/{newDatasetFolder}.yaml'

  userName = '{user}'

  if os.path.exists(pathYaml):
    os.remove(pathYaml)
  with open(pathYaml, 'w', newline='\n') as f:
    f.write(f'''
train: /home/{userName}/datasets/ApplesM5/{newDatasetFolder}/yolos/images/trains
val: /home/{userName}/datasets/ApplesM5/{newDatasetFolder}/yolos/images/vals

nc: 1
names:
  0: 'Apple'

''')
    f.flush()


def IgnorePlusHash(src, names):
  # Ignore files containing "+#" in their names
  return [name for name in names if '+#' in name]

if __name__ == "__main__":

  originsFolders = [
    'synetic-bg',
    'real',
    'real-original'
  ]

  newFolders = [
    'synetic',

    'synetic-bg-train+real-val',
    'synetic-train+real-val',
    'synetic+real',

    'synetic-bg-train+real-original-val',
    'synetic-train+real-original-val',
    'synetic+real-original',
  ]

  for originFolder in originsFolders:
    CreateYaml(originFolder)

  newDatasetsFoldersAndTrainsValsOrigins = [
    [ 'synetic', ['synetic-bg'], ['synetic-bg'], True ],

    [ 'synetic-bg-train+real-val', ['synetic-bg'], ['real'], False ],
    [ 'synetic-train+real-val', ['synetic-bg'], ['real'], False ],
    [ 'synetic+real', ['synetic', 'real'], ['synetic', 'real'], False ],

    [ 'synetic-bg-train+real-original-val', ['synetic-bg'], ['real-original'], False ],
    [ 'synetic-train+real-original-val', ['synetic-bg'], ['real-original'], False ],
    [ 'synetic+real-original', ['synetic', 'real-original'], ['synetic', 'real-original'], False ],
  ]

  datasFormats = ['images', 'labels']

  datasOriginsTypes = ['trains', 'vals']

  for (newDatasetFolder, trainsOrigins, valsOrigins, ignorePlusHash) in newDatasetsFoldersAndTrainsValsOrigins:
    print(f'Processing: {newDatasetFolder}..')

    if os.path.exists(newDatasetFolder):
      shutil.rmtree(newDatasetFolder)
    os.makedirs(newDatasetFolder)

    CreateYaml(newDatasetFolder)

    for dataOriginType, datasOrigins in tqdm(zip(datasOriginsTypes, [trainsOrigins, valsOrigins])):
      for dataOrigin in datasOrigins:
        for dataFormat in datasFormats:
          src = f'./{dataOrigin}/yolos/{dataFormat}/{dataOriginType}/'
          dst = f'{newDatasetFolder}/yolos/{dataFormat}/{dataOriginType}/'
          
          if ignorePlusHash:
            shutil.copytree(src, dst, dirs_exist_ok=True, ignore=IgnorePlusHash)
          else:
            shutil.copytree(src, dst, dirs_exist_ok=True)