81b99bfa02345b83b75488a535a9bd85f49d65e6,invesalius/data/imagedata_utils.py,,ResampleMatrix,#,7
Before Change
size = imagedata.GetDimensions()
width = float(size[0])
height = float(size[1]/value)
resolution = (height/(extent[1]-extent[0])+1)*spacing[1]
resample = vtk.vtkImageResample()
resample.SetInput(imagedata)
resample.SetAxisMagnificationFactor(0, resolution)
After Change
extent = imagedata.GetExtent()
spacing = imagedata.GetSpacing()
if extent[1]==extent[3]:
f = extent[1]
x = 0
y = 1
elif extent[1]==extent[5]:
f = extent[1]
x=0
y=2
elif extent[3]==extent[5]:
f = extent[3]
x = 1
y = 2
factor = xy_dimension/float(f+1)
resample = vtk.vtkImageResample()
resample.SetInput(imagedata)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 13
Instances
Project Name: invesalius/invesalius3
Commit Name: 81b99bfa02345b83b75488a535a9bd85f49d65e6
Time: 2009-07-22
Author: paulojamorim@gmail.com
File Name: invesalius/data/imagedata_utils.py
Class Name:
Method Name: ResampleMatrix
Project Name: rasbt/mlxtend
Commit Name: 1ac01c049faee3044894bd3428ac6021b069d516
Time: 2016-03-16
Author: mail@sebastianraschka.com
File Name: mlxtend/evaluate/scoring.py
Class Name:
Method Name: scoring
Project Name: rasbt/mlxtend
Commit Name: 1309ae7802aede445fa4bf943eee09422724e8e6
Time: 2016-03-08
Author: mail@sebastianraschka.com
File Name: mlxtend/evaluate/scoring.py
Class Name:
Method Name: scoring