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webKnossos Python library example: Uploading Image Data. https://docs.webknossos.org/webknossos-py/examples/upload_image_data.html
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from time import gmtime, strftime | |
import numpy as np | |
from skimage import data | |
import webknossos as wk | |
from webknossos.dataset import COLOR_CATEGORY | |
def main() -> None: | |
# load your data - we use an example 3D dataset here | |
img = data.cells3d() # (z, c, y, x) | |
# make sure that the dimension of your data has the right order | |
# we expect the following dimensions: Channels, X, Y, Z. | |
img = np.transpose(img, [1, 3, 2, 0]) | |
# choose a name for our dataset | |
time_str = strftime("%Y-%m-%d_%H-%M-%S", gmtime()) | |
name = f"cell_{time_str}" | |
# scale is defined in nm | |
ds = wk.Dataset(name, scale=(260, 260, 290)) | |
# The example microscopy data has two channels | |
# Channel 0 contains cell membranes, channel 1 contains nuclei. | |
layer_membranes = ds.add_layer( | |
"cell membranes", | |
COLOR_CATEGORY, | |
dtype_per_layer=img.dtype, | |
) | |
layer_membranes.add_mag(1, compress=True).write(img[0, :]) | |
layer_nuclei = ds.add_layer( | |
"nuclei", | |
COLOR_CATEGORY, | |
dtype_per_layer=img.dtype, | |
) | |
layer_nuclei.add_mag(1, compress=True).write(img[1, :]) | |
url = ds.upload() | |
print(f"Successfully uploaded {url}") | |
if __name__ == "__main__": | |
main() |
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