Created
November 8, 2024 17:58
-
-
Save sminot/e30d467a1707f81d4e8391aa82a16758 to your computer and use it in GitHub Desktop.
Convert a numpy array (.npz) to TIFF
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python3 | |
import click | |
import tifffile | |
import numpy as np | |
def convert_npz_to_tiff(input_file, output_file, pixelsize=0.05): | |
data = np.load(input_file) | |
# Convert the float64 to uint16 by dividing the float64 by the maximum value for each channel and multiplying by 65535 | |
img = np.zeros((data["img"].shape[0], data["img"].shape[1], data["img"].shape[2]), dtype='uint16') | |
for i in range(data["img"].shape[2]): | |
img[:, :, i] = (data["img"][:, :, i] / np.max(data["img"][:, :, i]) * 65535).astype('uint16') | |
# Move the last dimension to the first dimension | |
img = np.moveaxis(img, -1, 0) | |
tifffile.imwrite( | |
output_file, | |
img, | |
shape=img.shape, | |
dtype='uint16', | |
# photometric='minisblack', | |
metadata={'axes': 'CYX', "Channel": {"Name": data["ch"].tolist()}}, | |
) | |
@click.command() | |
@click.argument('input_file', type=click.Path(exists=True)) | |
@click.argument('output_file', type=click.Path()) | |
def main(input_file, output_file): | |
convert_npz_to_tiff(input_file, output_file) | |
if __name__ == '__main__': | |
main() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment