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import numpy | |
dataDir = "/opt/data/SlicerMorph/20231003-ColorizedVR" | |
segName = "Segmentation" | |
ctFullName = "deep_snail_2_14.9um_2k__rec1100" | |
ctName = "deep_snail_2_14" | |
try: | |
slicer.util.getNode(segName) | |
except slicer.util.MRMLNodeNotFoundException: | |
slicer.util.loadVolume(f"{dataDir}/{ctFullName}.nrrd") |
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import glob | |
import numpy | |
import os | |
import random | |
includeEdema = True | |
exec(open("/opt/data/nac/neurosurgicalatlas/MONAI/labels.py").read()) | |
tureSynthSegGlob = "/opt/data/nac/neurosurgicalatlas/MONAI/Ture-subset-2022-12-03-nii-seg/Ture-*-*.nrrd_synthseg.nii.gz" |
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# Copyright Steve Pieper | |
# https://github.com/Slicer/Slicer/blob/master/License.txt | |
# Demo video: https://youtu.be/xcQKj4yp2nw | |
""" | |
exec(open('/Users/pieper/slicer/latest/SlicerTMSGuide/guide.py', 'r').read()) | |
""" |
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""" | |
exec(open("/opt/data/nac/neurosurgicalatlas/ss2-Ture-028-registration.py").read()) | |
""" | |
import glob | |
from math import floor, ceil | |
import numpy |
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""" | |
Display zarr from s3 buckets for example data from here: | |
https://www.openmicroscopy.org/2020/11/04/zarr-data.html | |
exec(open("/Users/pieper/idc/ngff.py").read()) | |
see also: /Volumes/GoogleDrive/My\ Drive/hacks/sardana.py | |
https://gist.github.com/pieper/10ee6add544633f4c75dbb293ef087bc |
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""" | |
p = "/Volumes/GoogleDrive/My Drive/hacks/sardana.py" | |
exec(open(p).read()) | |
Screencapture of result posted here (slide 7): https://docs.google.com/presentation/d/12cDI-HHQ4OhNTN4oqx-yFiyPAqvDB5sxKrimrWgdAOY/edit?usp=sharing | |
""" | |
# |
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""" | |
filePath = "/Users/pieper/slicer/latest/SlicerMorph/loadPointCloud.py" | |
modelPath = "/opt/tmp/georeferenced_model.vtk" | |
exec(open(filePath).read()) | |
""" | |
modelNode = slicer.util.loadModel(modelPath) |
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""" | |
Install wgpu as described here: https://github.com/pygfx/wgpu-py | |
Tested with Slicer 5.0.2 and wgpu 537c3eab68e9eef77681fc5545532380df26d8cc (basically 0.8.1) | |
exec(open("./slicer-compute.py").read()) | |
""" |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="utf-8" /> | |
<meta | |
name="description" | |
content="Open Health Imaging Foundation DICOM Viewer" | |
/> | |
<meta |
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#!/usr/bin/env python | |
comment = """ | |
You can use this script with either Slicer's python wrapped VTK or with pip installed VTK like this: | |
~/Downloads/Slicer-4.13.0-2021-06-18-linux-amd64/bin/PythonSlicer vr-depth-crop.py | |
python vr-depth-crop.py | |
""" |
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