Source code for unravel.image_io.zarr_to_nii
#!/usr/bin/env python3
"""
Use ``io_zarr_to_nii`` (``z2n``) from UNRAVEL to convert an image.zarr to an image.nii.gz.
Note:
- Outputs RAS orientation w/o respect to anatomical orientation
- Scaling not preserved
Usage:
------
io_zarr_to_nii -i path/img.zarr -o path/img.nii.gz [-v]
"""
import nibabel as nib
import numpy as np
import zarr
from rich.traceback import install
from unravel.core.help_formatter import RichArgumentParser, SuppressMetavar, SM
from unravel.core.config import Configuration
from unravel.core.utils import log_command, verbose_start_msg, verbose_end_msg, print_func_name_args_times
[docs]
def parse_args():
parser = RichArgumentParser(formatter_class=SuppressMetavar, add_help=False, docstring=__doc__)
reqs = parser.add_argument_group('Required arguments')
reqs.add_argument('-i', '--input', help='path/image.zarr', required=True, action=SM)
opts = parser.add_argument_group('Optional arguments')
opts.add_argument('-o', '--output', help='path/image.nii.gz', action=SM)
general = parser.add_argument_group('General arguments')
general.add_argument('-v', '--verbose', help='Increase verbosity. Default: False', action='store_true', default=False)
return parser.parse_args()
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@print_func_name_args_times()
def zarr_to_ndarray(img_path):
zarr_dataset = zarr.open(img_path, mode='r')
return np.array(zarr_dataset)
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def define_zarr_to_nii_output(output_path):
if args.output:
return args.output
else:
return str(args.input).replace(".zarr", ".nii.gz")
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@print_func_name_args_times()
def save_as_nii(ndarray, output_path):
affine = np.eye(4)
nifti_image = nib.Nifti1Image(ndarray, affine)
nib.save(nifti_image, output_path)
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@log_command
def main():
install()
args = parse_args()
Configuration.verbose = args.verbose
verbose_start_msg()
img = zarr_to_ndarray(args.input)
output_path = define_zarr_to_nii_output(args.output)
save_as_nii(img, output_path)
verbose_end_msg()
if __name__ == '__main__':
main()