Usage: dataset_tool.py [OPTIONS]

  Convert an image dataset into a dataset archive usable with StyleGAN2 ADA
  PyTorch.

  The input dataset format is guessed from the --source argument:

  --source *_lmdb/                - Load LSUN dataset
  --source cifar-10-python.tar.gz - Load CIFAR-10 dataset
  --source path/                  - Recursively load all images from path/
  --source dataset.zip            - Recursively load all images from dataset.zip

  The output dataset format can be either an image folder or a zip archive.
  Specifying the output format and path:

  --dest /path/to/dir             - Save output files under /path/to/dir
  --dest /path/to/dataset.zip     - Save output files into /path/to/dataset.zip archive

  Images within the dataset archive will be stored as uncompressed PNG.

  Image scale/crop and resolution requirements:

  Output images must be square-shaped and they must all have the same power-
  of-two dimensions.

  To scale arbitrary input image size to a specific width and height, use
  the --width and --height options.  Output resolution will be either the
  original input resolution (if --width/--height was not specified) or the
  one specified with --width/height.

  Use the --transform=center-crop or --transform=center-crop-wide options to
  apply a center crop transform on the input image.  These options should be
  used with the --width and --height options.  For example:

  python dataset_tool.py --source LSUN/raw/cat_lmdb --dest /tmp/lsun_cat \
      --transform=center-crop-wide --width 512 --height=384

Options:
  --source PATH                   Directory or archive name for input dataset
                                  [required]
  --dest PATH                     Output directory or archive name for output
                                  dataset  [required]
  --max-images INTEGER            Output only up to `max-images` images
  --resize-filter [box|lanczos]   Filter to use when resizing images for
                                  output resolution  [default: lanczos]
  --transform [center-crop|center-crop-wide]
                                  Input crop/resize mode
  --width INTEGER                 Output width
  --height INTEGER                Output height
  --help                          Show this message and exit.