Add initial batch processing and do some tidying.

This commit is contained in:
jmsgrogan 2017-08-28 10:29:26 +01:00
parent 00fa3da2eb
commit 2e4514dd4a
34 changed files with 446 additions and 119 deletions

17
.project Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<projectDescription>
<name>Stack3D</name>
<comment></comment>
<projects>
</projects>
<buildSpec>
<buildCommand>
<name>org.python.pydev.PyDevBuilder</name>
<arguments>
</arguments>
</buildCommand>
</buildSpec>
<natures>
<nature>org.python.pydev.pythonNature</nature>
</natures>
</projectDescription>

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.pydevproject Normal file
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<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?eclipse-pydev version="1.0"?><pydev_project>
<pydev_pathproperty name="org.python.pydev.PROJECT_SOURCE_PATH">
<path>/${PROJECT_DIR_NAME}</path>
</pydev_pathproperty>
<pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python 2.7</pydev_property>
<pydev_property name="org.python.pydev.PYTHON_PROJECT_INTERPRETER">Default</pydev_property>
</pydev_project>

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eclipse.preferences.version=1
encoding//src/stack3d/formats/ome_schema.py=utf-8

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"""
Reader for the MATLAB vessel network format provided by Russel Bates (russell.bates@new.ox.ac.uk)
"""
from argparse import ArgumentParser
import scipy.io
import numpy as np
def compare(x, y):
return (x[0] == y[0]) and (x[1] == y[1]) and (x[2] == y[2])
def convert_to_vtk(mat):
"""
Convert the format to VTK
"""
nodes = []
edges = []
for idx, eachConnectedComponent in enumerate(mat["Vessels"][0]):
adjacency = eachConnectedComponent['Adj']
branches = eachConnectedComponent['Branch'][0][0][0]
if idx ==0:
for kdx, eachBranch in enumerate(branches):
if kdx <200:
for jdx, eachPoint in enumerate(eachBranch['Points'][0][0]):
nodes.append(np.array(eachPoint))
for idx, eachEntry in enumerate(nodes):
for jdx, eachOtherEntry in enumerate(nodes):
if idx!=jdx:
if compare(eachEntry, eachOtherEntry):
print eachEntry, eachOtherEntry, idx, jdx
break
#nodes.append(eachBranch['Points'][0][0][0])
#print eachBranch['Points'][0][0][0]
#adjacency_indices = adjacency[0][0].nonzero()
#print adjacency_indices[0]
mat = scipy.io.loadmat('/home/grogan/Vessels.mat', struct_as_record=True)
convert_to_vtk(mat)

136
src/stack3d/formats/unet.py Normal file
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""" Format conversion for Russ Bate's unet format.
"""
from __future__ import print_function
import inspect
import os
import csv
from subprocess import call
from argparse import ArgumentParser
import scipy.io
import networkx as nx
import stack3d.formats
def load_skeleton(path):
"""
Load the skeleton from a pickle
"""
# Delayed import so script can be run with both Python 2 and 3
from unet_core.vessel_analysis import VesselTree
v = VesselTree()
v.load_skeleton(path)
return v.skeleton
def skeleton_to_vtp(path):
temp_output_path = os.path.dirname(os.path.realpath(path)) + "/temp_network_csv.csv"
script_path = inspect.getfile(stack3d.formats.unet).replace(".pyc", ".py")
launch_args = " --input '" + path + "' --output '" + temp_output_path + "' --format csv --field diameter"
call("python3 " + script_path + launch_args, shell=True)
# Avoid vtk import when method not used to reduce dependency overhead
import vtk
polydata = vtk.vtkPolyData()
points = vtk.vtkPoints()
cells = vtk.vtkCellArray()
data = vtk.vtkDoubleArray()
with open(temp_output_path, 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quotechar='|')
counter = 0
first = 0
for row in reader:
if first == 0:
first += 1
continue
point0 = [float(x) for x in row[0:3]]
point1 = [float(x) for x in row[3:6]]
diameter = float(row[6])
points.InsertNextPoint(point0)
points.InsertNextPoint(point1)
line = vtk.vtkLine()
line.GetPointIds().SetId(0, counter)
line.GetPointIds().SetId(1, counter+1)
counter += 2
cells.InsertNextCell(line)
data.InsertNextTuple1(diameter)
polydata.SetPoints(points)
polydata.SetLines(cells)
polydata.GetCellData().SetScalars(data)
clean = vtk.vtkCleanPolyData()
clean.SetInputData(polydata)
clean.Update()
return clean.GetOutput()
def skeleton_to_matlab(skeleton, field, output_path):
"""
Convert the skeleton's network description to matlab sparse matrix format.
Each mat file corresponds to a connected component
"""
# if os.path.isabs(output_path) and not os.path.exists(output_path):
# os.makedirs(output_path)
for idx, component in enumerate(skeleton.components):
for n, nbrs in component.graph.adjacency_iter():
for nbr, edict in nbrs.items():
branch = edict[0]["branch"]
component.graph.add_edge(n, nbr, weight=branch.diameter)
scipy_mat = nx.to_scipy_sparse_matrix(component.graph)
output = {"skeleton": scipy_mat}
output_file = output_path + "/skeleton_" + field + "_Comp_" + str(idx) + ".mat"
scipy.io.savemat(output_file, output)
def skeleton_to_csv(skeleton, output_path):
"""
Convert the skeleton's network description to csv format
"""
# if os.path.isabs(output_path) and not os.path.exists(output_path):
# os.makedirs(output_path)
f = open(output_path, "w")
f.write("P0 - x, P0 - y, P0 - z, P1 - x, P1 - y, P1 - z, diameter")
for _, _, branch in skeleton.skeleton_branch_iter():
for idx, p1 in enumerate(branch.points):
if idx > 0:
p0 = branch.points[idx-1]
p0_s = str(p0.x) + "," + str(p0.y) + "," + str(p0.z)
p1_s = str(p1.x) + "," + str(p1.y) + "," + str(p1.z)
f.write(p0_s + "," + p1_s + "," + str(branch.diameter) + "\n")
f.close()
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument('--input', type=str, help='Input skeleton file.')
parser.add_argument('--output', type=str, help='Output directory.')
parser.add_argument('--format', type=str,
help='Output format.',
choices=['csv', 'mat'],
default='mat')
parser.add_argument('--field', type=str,
help='Output field.',
choices=['diameter', "length", "tortuosity"],
default='diameter')
args = parser.parse_args()
skeleton = load_skeleton(args.input)
if "csv" in args.format:
skeleton_to_csv(skeleton, args.output)
elif "mat" in args.format:
skeleton_to_matlab(skeleton, args.field, args.output)

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@ -1,3 +1,4 @@
""" """
Conversion of IMS/LSM/CZI files to OME and then Generic TIFFs Conversion of IMS/LSM/CZI files to OME and then Generic TIFFs
""" """

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class TimepointData(object):
def __init__(self):
self.raw_data_path = None
class MouseData(object):
def __init__(self):
self.raw_data_path = None
self.extra_path = ""
self.timepoints = []
class StudyData(object):
def __init__(self):
self.raw_data_path = None
self.mice = []

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@ -9,10 +9,10 @@ import mp_color_map
def get_ox_map(): def get_ox_map():
files = ["/home/grogan/oxygen_solution_loc_0.vti", files = ["/home/grogan/oxygen_solution_loc_1.vti",
"/home/grogan/oxygen_solution_loc_1.vti",
"/home/grogan/oxygen_solution_loc_2.vti", "/home/grogan/oxygen_solution_loc_2.vti",
"/home/grogan/oxygen_solution_loc_3.vti"] "/home/grogan/oxygen_solution_loc_3.vti",
"/home/grogan/oxygen_solution_loc_4.vti"]
offsets = [(0.0,0.0), (40.0, 0.0), (40.0, 40.0), (0.0, 40.0)] offsets = [(0.0,0.0), (40.0, 0.0), (40.0, 40.0), (0.0, 40.0)]
ox_actors = [] ox_actors = []
@ -72,12 +72,12 @@ def get_ox_map():
ox_actor = vtk.vtkActor() ox_actor = vtk.vtkActor()
ox_actor.SetMapper(ox_mapper) ox_actor.SetMapper(ox_mapper)
ox_actor.GetProperty().SetColor(0.0, 1.0, 0.0) ox_actor.GetProperty().SetColor(0.0, 1.0, 0.0)
ox_actor.GetProperty().SetOpacity(0.5) ox_actor.GetProperty().SetOpacity(0.8)
ox_actors.append(ox_actor) ox_actors.append(ox_actor)
scale_bar = vtk.vtkScalarBarActor() scale_bar = vtk.vtkScalarBarActor()
scale_bar.SetLookupTable(scaled_ctf); scale_bar.SetLookupTable(scaled_ctf);
#scale_bar.SetTitle("Oxygen Tension (mmHg)"); scale_bar.SetTitle(".");
scale_bar.SetOrientationToVertical(); scale_bar.SetOrientationToVertical();
scale_bar.GetPositionCoordinate().SetCoordinateSystemToNormalizedViewport(); scale_bar.GetPositionCoordinate().SetCoordinateSystemToNormalizedViewport();
scale_bar.GetPositionCoordinate().SetValue(0.23, 0.27); scale_bar.GetPositionCoordinate().SetValue(0.23, 0.27);
@ -95,7 +95,7 @@ def get_ox_map():
scale_bar.GetTitleTextProperty().SetFontSize(15) scale_bar.GetTitleTextProperty().SetFontSize(15)
scale_bar.GetLabelTextProperty().SetFontSize(15) scale_bar.GetLabelTextProperty().SetFontSize(15)
scale_bar.GetTitleTextProperty().SetColor(1.0, 1.0, 1.0); scale_bar.GetTitleTextProperty().SetColor(1.0, 1.0, 1.0);
scale_bar.GetLabelTextProperty().SetColor(1.0, 1.0, 1.0); scale_bar.GetLabelTextProperty().SetColor(0.0, 0.0, 0.0);
return ox_actors, scale_bar return ox_actors, scale_bar
@ -175,8 +175,7 @@ def render_image(image_path, threshold = 20.0):
input_files.append(image_path + "/"+eachFile) input_files.append(image_path + "/"+eachFile)
renderer = vtk.vtkRenderer() renderer = vtk.vtkRenderer()
renderer.SetBackground(20.0/255.0,30.0/255.0,48.0/255.0); renderer.SetBackground(1.0,1.0,1.0);
renderer.SetBackground2(36.0/255.0,59.0/255.0,85.0/255.0);
for eachImage in input_files: for eachImage in input_files:
reader= vtk.vtkXMLImageDataReader() reader= vtk.vtkXMLImageDataReader()
@ -198,7 +197,7 @@ def render_image(image_path, threshold = 20.0):
opacity_transfer_func.AddPoint(0, 0.0 ) opacity_transfer_func.AddPoint(0, 0.0 )
opacity_transfer_func.AddPoint(threshold-1.0, 0.0 ) opacity_transfer_func.AddPoint(threshold-1.0, 0.0 )
#opacity_transfer_func.AddPoint(threshold, 1.0 ) #opacity_transfer_func.AddPoint(threshold, 1.0 )
opacity_transfer_func.AddPoint(255.0, 0.1 ) opacity_transfer_func.AddPoint(255.0, 1.0 )
volume_properties = vtk.vtkVolumeProperty() volume_properties = vtk.vtkVolumeProperty()
volume_properties.SetColor( color_transfer_func ) volume_properties.SetColor( color_transfer_func )
@ -230,7 +229,9 @@ def render_image(image_path, threshold = 20.0):
render_window.AddRenderer(renderer) render_window.AddRenderer(renderer)
window_interactor.SetRenderWindow(render_window) window_interactor.SetRenderWindow(render_window)
render_window.SetSize(170, 177) render_window.SetSize(1200, 800)
render_window.SetAlphaBitPlanes(1)
render_window.Render() render_window.Render()
ox_actors, scale_bar_actor = get_ox_map() ox_actors, scale_bar_actor = get_ox_map()
#renderer.AddActor(scale_bar_actor) #renderer.AddActor(scale_bar_actor)
@ -247,14 +248,16 @@ def render_image(image_path, threshold = 20.0):
window_to_image_filter = vtk.vtkWindowToImageFilter() window_to_image_filter = vtk.vtkWindowToImageFilter()
window_to_image_filter.SetInput(render_window) window_to_image_filter.SetInput(render_window)
window_to_image_filter.SetMagnification(1);
window_to_image_filter.SetInputBufferTypeToRGBA()
window_to_image_filter.ReadFrontBufferOff()
writer = vtk.vtkTIFFWriter() writer = vtk.vtkTIFFWriter()
extension = ".tiff" extension = ".tiff"
writer.SetInputConnection(window_to_image_filter.GetOutputPort()) writer.SetInputConnection(window_to_image_filter.GetOutputPort())
writer.SetFileName("vtk_animation_0"+extension) writer.SetFileName("vtk_animation_0"+extension)
writer.Write() writer.Write()
num_samples = 2
num_samples = 1
for idx in range(num_samples): for idx in range(num_samples):
if idx==0: if idx==0:
@ -264,38 +267,42 @@ def render_image(image_path, threshold = 20.0):
renderer.GetActiveCamera().OrthogonalizeViewUp() renderer.GetActiveCamera().OrthogonalizeViewUp()
#time.sleep(0.02) #time.sleep(0.02)
#renderer.GetActiveCamera().Dolly(1.002)) #renderer.GetActiveCamera().Elevation(-1.0)
renderer.GetActiveCamera().Dolly(1.002)
renderer.ResetCameraClippingRange()
render_window.Render() render_window.Render()
window_to_image_filter.Modified() window_to_image_filter.Modified()
writer.SetFileName("vtk_animation_"+str(idx+1)+extension) writer.SetFileName("vtk_animation_"+str(idx+1)+extension)
writer.Write() writer.Write()
renderer.AddActor(scale_bar_actor)
renderer.RemoveActor(ox_actors[0]) renderer.RemoveActor(ox_actors[0])
render_window.Render() render_window.Render()
window_to_image_filter.Modified() # window_to_image_filter.Modified()
writer.SetFileName("vtk_animation_"+str(num_samples+1)+extension) # writer.SetFileName("vtk_animation_"+str(num_samples+1)+extension)
writer.Write() # writer.Write()
#
cell_actors = add_cells() # cell_actors = add_cells()
renderer.AddActor(cell_actors[0]) # renderer.AddActor(cell_actors[0])
render_window.Render() # render_window.Render()
window_to_image_filter.Modified() # window_to_image_filter.Modified()
writer.SetFileName("vtk_animation_"+str(num_samples+2)+extension) # writer.SetFileName("vtk_animation_"+str(num_samples+2)+extension)
writer.Write() # writer.Write()
renderer.RemoveActor(cell_actors[0]) # renderer.RemoveActor(cell_actors[0])
#
renderer.AddActor(cell_actors[1]) # renderer.AddActor(cell_actors[1])
render_window.Render() # render_window.Render()
window_to_image_filter.Modified() # window_to_image_filter.Modified()
writer.SetFileName("vtk_animation_"+str(num_samples+3)+extension) # writer.SetFileName("vtk_animation_"+str(num_samples+3)+extension)
writer.Write() # writer.Write()
renderer.RemoveActor(cell_actors[1]) # renderer.RemoveActor(cell_actors[1])
#
renderer.AddActor(cell_actors[2]) # renderer.AddActor(cell_actors[2])
render_window.Render() # render_window.Render()
window_to_image_filter.Modified() # window_to_image_filter.Modified()
writer.SetFileName("vtk_animation_"+str(num_samples+4)+extension) # writer.SetFileName("vtk_animation_"+str(num_samples+4)+extension)
writer.Write() # writer.Write()
window_interactor.Start() window_interactor.Start()

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test/merge_plots.py Normal file
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import os
import pickle
from PIL import Image
from stack3d.study.components import StudyData, MouseData, TimepointData
def merge_plots(work_dir, study_collection):
for eachStudy in study_collection:
print "Merging Study: ", eachStudy.raw_data_path
study_dir = work_dir + "/" + eachStudy.raw_data_path
for eachMouse in eachStudy.mice:
print "Merging Mouse: ", eachMouse.raw_data_path
mouse_dir = study_dir + "/" + eachMouse.raw_data_path
image_paths = []
for eachTimePoint in eachMouse.timepoints:
time_dir = mouse_dir + "/" + eachTimePoint.raw_data_path
base_path = "/analysis_analysis/plots/vessels/diameterPlot.png"
if os.path.isfile(time_dir + base_path):
image_paths.append(time_dir + base_path)
images = map(Image.open, image_paths)
merge_path = mouse_dir + "/timeline_diameterPlot.jpg"
merge_axis = 0
print "Merging plots to: ", merge_path
if len(images) > 0:
widths, heights = zip(*(i.size for i in images))
if merge_axis == 0:
total_width = sum(widths)
max_height = max(heights)
new_im = Image.new('RGB', (total_width, max_height))
x_offset = 0
for im in images:
new_im.paste(im, (x_offset, 0))
x_offset += im.size[0]
new_im.save(merge_path, optimize=True, quality=5)
else:
max_width = max(widths)
total_height = sum(heights)
new_im = Image.new('RGB', (max_width, total_height))
y_offset = 0
for im in images:
new_im.paste(im, (0, y_offset))
y_offset += im.size[1]
new_im.save(merge_path, optimize=True, quality=5)
work_dir = "/scratch/jgrogan/stack-working/study/"
f = open(work_dir + "/study_collection.p", 'r')
study_collection = pickle.load(f)
merge_plots(work_dir, study_collection)

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test/render_networks.py Normal file
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import vtk
import stack3d.formats.unet
path = "/home/grogan/stack-working/skeleton.pkl"
network_vtk = stack3d.formats.unet.skeleton_to_vtp(path)
writer = vtk.vtkXMLPolyDataWriter()
writer.SetInputData(network_vtk)
writer.SetFileName("/home/grogan/test.vtp")
writer.Write()

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test/skeleton_to_mat.py Normal file
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import os
import inspect
import pickle
from subprocess import call
from PIL import Image
import vtk
import scipy.sparse as sps
from scipy.io import savemat
from stack3d.study.components import StudyData, MouseData, TimepointData
import stack3d.formats.unet
def vtk_to_mat(polydata, path):
num_points = polydata.GetNumberOfPoints()
sps_acc = sps.coo_matrix((num_points, num_points))
data = []
row_indices = []
column_indices = []
lines = polydata.GetLines()
vtk_data = polydata.GetCellData().GetScalars()
print "np: ", num_points
for idx in range(lines.GetNumberOfCells()):
points = vtk.vtkIdList()
lines.GetCell(idx, points)
if points.GetNumberOfIds() == 2:
row_indices.append(points.GetId(0))
column_indices.append(points.GetId(1))
data.append(vtk_data.GetTuple1(idx))
sps_acc = sps_acc + sps.coo_matrix((data, (row_indices, column_indices)), shape=(num_points, num_points))
savemat(path, {'skeleton': sps_acc})
def skeleton_to_mat(work_dir, study_collection):
for eachStudy in study_collection:
print "Converting Study: ", eachStudy.raw_data_path
study_dir = work_dir + "/" + eachStudy.raw_data_path
for eachMouse in eachStudy.mice:
print "Converting Mouse: ", eachMouse.raw_data_path
mouse_dir = study_dir + "/" + eachMouse.raw_data_path
for eachTimePoint in eachMouse.timepoints:
print "Converting Time: ", eachTimePoint.raw_data_path
time_dir = mouse_dir + "/" + eachTimePoint.raw_data_path
base_path = "/analysis_analysis/skeleton.pkl"
if os.path.isfile(time_dir + base_path):
output_path = os.path.dirname(os.path.realpath(time_dir + "/analysis_analysis/skeleton_distance.mat"))
polydata = stack3d.formats.unet.skeleton_to_vtp(time_dir + base_path)
vtk_to_mat(polydata, output_path)
work_dir = "/scratch/jgrogan/stack-working/study/"
f = open(work_dir + "/study_collection.p", 'r')
study_collection = pickle.load(f)
skeleton_to_mat(work_dir, study_collection)

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test/study_setup.py Normal file
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import os
import pickle
from distutils.dir_util import copy_tree
from shutil import copyfile
from stack3d.study.components import StudyData, MouseData, TimepointData
def setup_study_collection_from_remote(path):
"""Scan the remote directory structure. Remote needs to be mounted first
with Samba etc."""
study_collection = []
study_dirs = next(os.walk(path))[1]
for study_dir in study_dirs:
new_study = StudyData()
new_study.raw_data_path = study_dir
print "Set up study: ", study_dir
mouse_dirs = next(os.walk(path + "/" + study_dir))[1]
for mouse_dir in mouse_dirs:
new_mouse = MouseData()
new_mouse.raw_data_path = mouse_dir
print "Set up mouse: ", mouse_dir
cumulative_path = path + "/" + study_dir + "/" + mouse_dir
if os.path.isdir(cumulative_path + "/Outputs_new_model"):
new_mouse.extra_path = "/Outputs_new_model/"
elif os.path.isdir(cumulative_path + "/Outputs"):
new_mouse.extra_path = "/Outputs/"
timepoint_dirs = next(os.walk(cumulative_path + new_mouse.extra_path))[1]
for timepoint_dir in timepoint_dirs:
if "TIF" not in timepoint_dir:
new_timepoint = TimepointData()
new_timepoint.raw_data_path = timepoint_dir
new_mouse.timepoints.append(new_timepoint)
new_study.mice.append(new_mouse)
study_collection.append(new_study)
return study_collection
def setup_local_study_directory_structure(path, study_collection):
for eachStudy in study_collection:
study_dir = path + "/" + eachStudy.raw_data_path
if not os.path.exists(study_dir):
os.makedirs(study_dir)
for eachMouse in eachStudy.mice:
mouse_dir = study_dir + "/" + eachMouse.raw_data_path
if not os.path.exists(mouse_dir):
os.makedirs(mouse_dir)
for eachTimePoint in eachMouse.timepoints:
time_dir = mouse_dir + "/" + eachTimePoint.raw_data_path
if not os.path.exists(time_dir):
os.makedirs(time_dir)
def copy_files(remote_path, local_path, study_collection):
for eachStudy in study_collection:
print "Copying Study: ", eachStudy.raw_data_path
remote_study_dir = remote_path + "/" + eachStudy.raw_data_path
local_study_dir = local_path + "/" + eachStudy.raw_data_path
for eachMouse in eachStudy.mice:
print "Copying Mouse: ", eachMouse.raw_data_path
remote_mouse_dir = remote_study_dir + "/" + eachMouse.raw_data_path
local_mouse_dir = local_study_dir + "/" + eachMouse.raw_data_path
for eachTimePoint in eachMouse.timepoints:
remote_time_dir = remote_mouse_dir + eachMouse.extra_path + "/" + eachTimePoint.raw_data_path
local_time_dir = local_mouse_dir + "/" + eachTimePoint.raw_data_path
if os.path.isdir(remote_time_dir + "/analysis_analysis"):
groups = ["csv", "histograms", "plots"]
for group in groups:
if os.path.isdir(remote_time_dir + "/analysis_analysis/" + group):
copy_tree(remote_time_dir + "/analysis_analysis/" + group,
local_time_dir + "/analysis_analysis/" + group)
if os.path.isfile(remote_time_dir + "/analysis_analysis/skeleton.pkl"):
copyfile(remote_time_dir + "/analysis_analysis/skeleton.pkl",
local_time_dir + "/analysis_analysis/skeleton.pkl")
#
work_dir = "/scratch/jgrogan/stack-working/study/"
samba_path = os.environ["XDG_RUNTIME_DIR"] + "/gvfs/"
raw_data_path = samba_path + "smb-share:server=imcore1.rob.ox.ac.uk,share=maths"
raw_data_path += "/Window Experiments/James/Network analysis/"
# study_collection = setup_study_collection_from_remote(raw_data_path)
# f = open(work_dir + "/study_collection.p", "wb")
# pickle.dump(study_collection, f)
f = open(work_dir + "/study_collection.p", 'r')
study_collection = pickle.load(f)
#setup_local_study_directory_structure(work_dir, study_collection)
copy_files(raw_data_path, work_dir, study_collection)

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@ -1,36 +0,0 @@
"""
Utilities for logging, parallel execution
"""
import os
import logging
def do_setup(tool_name = None):
out_directory = os.getcwd() + "/Stack3D_Logging/"
if not os.path.exists(out_directory):
os.makedirs(out_directory)
if tool_name is not None:
filename = out_directory + tool_name + ".log"
else:
filename = out_directory + "/root.log"
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s',
datefmt='%m-%d %H:%M',
filename=filename,
filemode='w')
console = logging.StreamHandler()
console.setLevel(logging.INFO)
# set a format which is simpler for console use
formatter = logging.Formatter('%(name)-12s: %(levelname)-8s %(message)s')
# tell the handler to use this format
console.setFormatter(formatter)
# add the handler to the root logger
logging.getLogger('').addHandler(console)