@@ -329,7 +329,7 @@ else:
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transformer_nn = Node (ApplyTransforms (), name = "transformer_nn" )
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transformer_nn .inputs .reference_image = IMAGE
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transformer_nn .inputs .dimension = 3
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- transformer_nn .inputs .invert_transform_flags = [False ] * N
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+ transformer_nn .inputs .invert_transform_flags = [False , False ]
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transformer_nn .inputs .input_image = '/opt/data/OASIS-TRT-20_jointfusion_DKT31_CMA_labels_in_OASIS-30_v2.nii.gz'
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transformer_nn .inputs .interpolation = 'NearestNeighbor'
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@@ -382,7 +382,6 @@ else:
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name = "transformer_nn" )
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transformer_nn .inputs .reference_image = IMAGE
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transformer_nn .inputs .dimension = 3
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- transformer_nn .inputs .invert_transform_flags = [False , False ]
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transformer_nn .inputs .input_image = labels [:N ]
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transformer_nn .inputs .interpolation = 'NearestNeighbor'
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@@ -416,7 +415,11 @@ else:
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mbFlow .connect (corticalthickness , 'BrainSegmentation' ,
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Mindboggle , 'antsseg' )
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Mindboggle .inputs .out = mindboggle_output
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+ < << << << HEAD
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Mindboggle .inputs .prov = False # args.prov disable
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+ == == == =
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+ Mindboggle .inputs .prov = False # args.prov
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+ > >> >> >> 66144 b0f47b9b3294361cdbf440d768c9252b5cb
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Mindboggle .inputs .args = '--roygbiv' # ' --graph hier'
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if args .mb_num_threads :
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Mindboggle .inputs .num_threads = args .mb_num_threads
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