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cellpose_membrane.py
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import os
import glob
from tifffile import imread
from vollseg import StarDist3D, UNET, MASKUNET
from vollseg.utils import MembraneSeg
from pathlib import Path
def main():
image_dir = '/path(to/dual_channel_dir'
save_dir = os.path.join(image_dir, 'MembraneSeg')
Path(save_dir).mkdir(exist_ok=True)
cellpose_model_name = 'cellpose2D_model_name'
diameter_cellpose = 34.6
stitch_threshold = 0.25
channel_membrane = 1
cellpose_model_dir = 'cellpose2D_model_dir'
flow_threshold = 0.7
cellprob_threshold = 0.0
gpu = True
Raw_path = os.path.join(image_dir, '*.tif')
filesRaw = glob.glob(Raw_path)
filesRaw.sort
min_size = 1
min_size_mask = 1
max_size = 1000000
n_tiles = (1,1,1)
dounet = False
seedpool = False
slice_merge = False
UseProbability = True
donormalize = True
axes ='ZYX'
do_3D = False
ExpandLabels = False
z_thresh = 2
for fname in filesRaw:
image = imread(fname)
image_membrane = image[:, channel_membrane, :, :]
Name = os.path.basename(os.path.splitext(fname)[0])
MembraneSeg( image_membrane,
diameter_cellpose= diameter_cellpose,
stitch_threshold = stitch_threshold,
flow_threshold = flow_threshold,
cellprob_threshold = cellprob_threshold,
cellpose_model_path= os.path.join(cellpose_model_dir, cellpose_model_name),
gpu = gpu,
axes = axes,
min_size_mask = min_size_mask,
min_size = min_size,
max_size = max_size,
n_tiles = n_tiles,
UseProbability= UseProbability,
ExpandLabels = ExpandLabels,
donormalize = donormalize,
dounet = dounet,
seedpool=seedpool,
save_dir=save_dir,
Name = Name,
slice_merge=slice_merge,
do_3D=do_3D,
z_thresh = z_thresh)
if __name__ == '__main__':
main()