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Fixes to Perens and Kim mouse atlases #271

Merged
merged 9 commits into from
May 9, 2024
25 changes: 18 additions & 7 deletions brainglobe_atlasapi/atlas_generation/atlas_scripts/kim_mouse.py
Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
__version__ = "1"

import argparse

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import json
import multiprocessing as mp
import tarfile
Expand Down Expand Up @@ -117,9 +118,7 @@

tree = get_structures_tree(structures)

rotated_annotations = np.rot90(annotated_volume, axes=(0, 2))

labels = np.unique(rotated_annotations).astype(np.int32)
labels = np.unique(annotated_volume).astype(np.int32)

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for key, node in tree.nodes.items():
if key in labels:
is_label = True
Expand All @@ -146,7 +145,7 @@
node,
tree,
labels,
rotated_annotations,
annotated_volume,
ROOT_ID,
closing_n_iters,
decimate_fraction,
Expand All @@ -170,7 +169,7 @@
node,
tree,
labels,
rotated_annotations,
annotated_volume,
ROOT_ID,
closing_n_iters,
decimate_fraction,
Expand Down Expand Up @@ -237,9 +236,21 @@


if __name__ == "__main__":
resolution = 10 # some resolution, in microns (10, 25, 50, 100)
# Create argument parser to pass resoulution as an argument
parser = argparse.ArgumentParser(

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description="Create an atlas with a specified resolution."
)
parser.add_argument(

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"--resolution",
type=int,
default=10,
help="Resolution in microns (10, 25, 50, 100)",
)
args = parser.parse_args()

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Comment on lines +240 to +249
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Why are we adding an argument parser here?
I think it should be a loop over the resolutions we'd like to provide?

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Yeah I think the atlas generation scripts are meant to (?) loop over resolutions.

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It didn't do it. Only one atlas was generated when I submitted a job on the HPC and I didn't want to change the resolution value in the code manually, push the new version and submit a new job for each resolution. I might be missing something.

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@alessandrofelder alessandrofelder May 1, 2024

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I didn't want to change the resolution value in the code manually, push the new version and submit a new job for each resolution.

I agree this is a worthy goal - my point is that I think this should not be achieved by a command line argument, but rather with a for loop in the code (so the script generates all four atlases in the same run)

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I thought this was already in the code, but it's what the main script (see #273) coordinates.

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I see what you mean now. Will I still have the option to easily specify which atlas I want to generate? For example, if I only need the 100um one, I wouldn't want to wait for the script to generate all the others.

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I don't think you will, no.
If you'd like that flexibility, you probably want to clone the repository on the HPC, and edit the script via the command line?

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Having thought about this, I think it's best to:

@alessandrofelder?

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I think we commented at the same time @alessandrofelder. I think we ideally shouldn't add the parser to the script, but getting fixed versions of the atlases out should be a priority.


# Generated atlas path:
bg_root_dir = Path.home() / "brainglobe_workingdir" / "kim_mouse"
bg_root_dir.mkdir(exist_ok=True, parents=True)
create_atlas(bg_root_dir, resolution)

# Use the parsed resolution
create_atlas(bg_root_dir, args.resolution)

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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
from brainglobe_atlasapi.atlas_generation.wrapup import wrapup_atlas_from_data
from brainglobe_atlasapi.structure_tree_util import get_structures_tree

PARALLEL = False # disable parallel mesh extraction for easier debugging
PARALLEL = True # disable parallel mesh extraction for easier debugging

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### Additional functions #####################################################
Expand Down Expand Up @@ -145,7 +145,7 @@
SPECIES = "Mus musculus"
ATLAS_LINK = "https:/Gubra-ApS/LSFM-mouse-brain-atlas"
CITATION = "Perens et al. 2021, https://doi.org/10.1007/s12021-020-09490-8"
ORIENTATION = "rai"
ORIENTATION = "asr"

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ROOT_ID = 997
ATLAS_FILE_URL = "https:/Gubra-ApS/LSFM-mouse-brain-atlas/archive/master.tar.gz"

Expand Down Expand Up @@ -248,7 +248,10 @@
node.data = Region(is_label)

# Mesh creation
closing_n_iters = 2
closing_n_iters = 2 # not used for this atlas
decimate_fraction = 0.2 # not used for this atlas

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smooth = False

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start = time.time()
if PARALLEL:
pool = mp.Pool(mp.cpu_count() - 2)
Expand All @@ -265,6 +268,8 @@
annotated_volume,
ROOT_ID,
closing_n_iters,
decimate_fraction,
smooth,
)
for node in tree.nodes.values()
],
Expand All @@ -287,6 +292,8 @@
annotated_volume,
ROOT_ID,
closing_n_iters,
decimate_fraction,
smooth,
)
)

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