本文整理汇总了Python中nipype.pipeline.engine.Node.out_file方法的典型用法代码示例。如果您正苦于以下问题：Python Node.out_file方法的具体用法？Python Node.out_file怎么用？Python Node.out_file使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类nipype.pipeline.engine.Node的用法示例。
在下文中一共展示了Node.out_file方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: make_func_subcortical_masks
# 需要导入模块: from nipype.pipeline.engine import Node [as 别名]
# 或者: from nipype.pipeline.engine.Node import out_file [as 别名]
#.........这里部分代码省略.........
right_nacc.inputs.roi_file = 'right_nacc.nii.gz'
right_amygdala = Node(interface=fsl.ExtractROI(), name = 'right_amygdala')
right_amygdala.inputs.t_min = 8
right_amygdala.inputs.t_size = 1
right_amygdala.inputs.roi_file = 'right_amygdala.nii.gz'
right_caudate = Node(interface=fsl.ExtractROI(), name = 'right_caudate')
right_caudate.inputs.t_min = 9
right_caudate.inputs.t_size = 1
right_caudate.inputs.roi_file = 'right_caudate.nii.gz'
right_hipoocampus = Node(interface=fsl.ExtractROI(), name = 'right_hipoocampus')
right_hipoocampus.inputs.t_min = 10
right_hipoocampus.inputs.t_size = 1
right_hipoocampus.inputs.roi_file = 'right_hipoocampus.nii.gz'
right_pallidum = Node(interface=fsl.ExtractROI(), name = 'right_pallidum')
right_pallidum.inputs.t_min = 11
right_pallidum.inputs.t_size = 1
right_pallidum.inputs.roi_file = 'right_pallidum.nii.gz'
right_putamen = Node(interface=fsl.ExtractROI(), name = 'right_putamen')
right_putamen.inputs.t_min = 12
right_putamen.inputs.t_size = 1
right_putamen.inputs.roi_file = 'right_putamen.nii.gz'
right_thalamus = Node(interface=fsl.ExtractROI(), name = 'right_thalamus')
right_thalamus.inputs.t_min = 13
right_thalamus.inputs.t_size = 1
right_thalamus.inputs.roi_file = 'right_thalamus.nii.gz'
midbrain = Node(interface=fsl.ExtractROI(), name = 'midbrain')
midbrain.inputs.t_min = 14
midbrain.inputs.t_size = 1
midbrain.inputs.roi_file = 'midbrain.nii.gz'
flow.connect( inputnode , 'func_first' , left_nacc, 'in_file' )
flow.connect( inputnode , 'func_first' , left_amygdala, 'in_file' )
flow.connect( inputnode , 'func_first' , left_caudate, 'in_file' )
flow.connect( inputnode , 'func_first' , left_hipoocampus,'in_file' )
flow.connect( inputnode , 'func_first' , left_pallidum, 'in_file' )
flow.connect( inputnode , 'func_first' , left_putamen, 'in_file' )
flow.connect( inputnode , 'func_first' , left_thalamus, 'in_file' )
flow.connect( inputnode , 'func_first' , right_nacc, 'in_file' )
flow.connect( inputnode , 'func_first' , right_amygdala, 'in_file' )
flow.connect( inputnode , 'func_first' , right_caudate, 'in_file' )
flow.connect( inputnode , 'func_first' , right_hipoocampus,'in_file' )
flow.connect( inputnode , 'func_first' , right_pallidum, 'in_file' )
flow.connect( inputnode , 'func_first' , right_putamen, 'in_file' )
flow.connect( inputnode , 'func_first' , right_thalamus, 'in_file' )
flow.connect( inputnode , 'func_first' , midbrain, 'in_file' )
flow.connect( left_nacc , 'roi_file' ,outputnode , 'left_nacc' )
flow.connect( left_amygdala , 'roi_file' ,outputnode , 'left_amygdala' )
flow.connect( left_caudate , 'roi_file' ,outputnode , 'left_caudate' )
flow.connect( left_hipoocampus , 'roi_file' ,outputnode , 'left_hipoocampus')
flow.connect( left_pallidum , 'roi_file' ,outputnode , 'left_pallidum')
flow.connect( left_putamen , 'roi_file' ,outputnode , 'left_putamen' )
flow.connect( left_thalamus , 'roi_file' ,outputnode , 'left_thalamus' )
flow.connect( right_nacc , 'roi_file' ,outputnode , 'right_nacc' )
flow.connect( right_amygdala , 'roi_file' ,outputnode , 'right_amygdala' )
flow.connect( right_caudate , 'roi_file' ,outputnode , 'right_caudate' )
flow.connect( right_hipoocampus, 'roi_file' ,outputnode , 'right_hipoocampus')
flow.connect( right_pallidum , 'roi_file' ,outputnode , 'right_pallidum')
flow.connect( right_putamen , 'roi_file' ,outputnode , 'right_putamen' )
flow.connect( right_thalamus , 'roi_file' ,outputnode , 'right_thalamus' )
flow.connect( midbrain , 'roi_file' ,outputnode , 'midbrain' )
# add images together
right_striatum = Node(interface=fsl.MultiImageMaths(), name = 'right_striatum')
right_striatum.inputs.op_string = '-add %s -add %s -bin'
right_striatum.out_file = 'right_striatum.nii.gz'
list_R_str = Node(util.Function(input_names = ['file_1', 'file_2'],
output_names= ['list'],
function = return_list),
name = 'list_str_r')
flow.connect( right_pallidum , 'roi_file' ,list_R_str , 'file_1' )
flow.connect( right_putamen , 'roi_file' ,list_R_str , 'file_2' )
flow.connect( right_caudate , 'roi_file' ,right_striatum , 'in_file' )
flow.connect( list_R_str , 'list' ,right_striatum , 'operand_files' )
flow.connect( right_striatum , 'out_file' ,outputnode , 'right_striatum' )
left_striatum = Node(interface=fsl.MultiImageMaths(), name = 'left_striatum')
left_striatum.inputs.op_string = '-add %s -add %s'
left_striatum.out_file = 'left_striatum.nii.gz'
list_L_str = list_R_str.clone('list_str_l')
flow.connect( left_pallidum , 'roi_file' ,list_L_str , 'file_1' )
flow.connect( left_putamen , 'roi_file' ,list_L_str , 'file_2' )
flow.connect( left_caudate , 'roi_file' ,left_striatum , 'in_file' )
flow.connect( list_L_str , 'list' ,left_striatum , 'operand_files' )
flow.connect( left_striatum , 'out_file' ,outputnode , 'left_striatum' )
return flow