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1 | 1 | #!/usr/bin/env python3 |
2 | 2 |
|
3 | 3 | import sys |
| 4 | +from pathlib import Path |
4 | 5 |
|
5 | | -input_filename = sys.argv[1] |
6 | | -output_filename = sys.argv[2] |
| 6 | +data_dir = Path(__file__).parent.resolve() / '..' / 'data' |
| 7 | + |
| 8 | +input_image_filename = sys.argv[1] |
| 9 | +temp_dir = Path(input_image_filename).parent |
| 10 | +output_image_filename = sys.argv[2] |
| 11 | +input_mesh_filename = data_dir / 'cow.vtk' |
| 12 | +output_mesh_filename = temp_dir / 'cow.vtk' |
| 13 | +input_transform_filename = data_dir / 'rigid.tfm' |
| 14 | +output_transform_filename = temp_dir / 'rigid.tfm' |
7 | 15 |
|
8 | 16 | import itk |
9 | 17 | import numpy as np |
10 | 18 |
|
11 | 19 | # Read input image |
12 | | -itk_image = itk.imread(input_filename) |
| 20 | +itk_image = itk.imread(input_image_filename) |
13 | 21 |
|
14 | 22 | # Run filters on itk.Image |
15 | 23 |
|
|
21 | 29 | # Equivalent |
22 | 30 | np_copy = np.asarray(itk_image) |
23 | 31 |
|
| 32 | +# Pixel array and image metadata |
| 33 | +# in standard Python data types + NumPy array |
| 34 | +image_dict = itk.dict_from_image(itk_image) |
| 35 | + |
24 | 36 |
|
25 | | -# Do NumPy stuff... |
| 37 | +# Do interesting things... |
26 | 38 |
|
27 | 39 |
|
28 | 40 | # Convert back to ITK, view only, data is not copied |
|
32 | 44 | itk_np_copy = itk.image_from_array(np_copy) |
33 | 45 |
|
34 | 46 | # Save result |
35 | | -itk.imwrite(itk_np_view, output_filename) |
| 47 | +itk.imwrite(itk_np_view, output_image_filename) |
| 48 | + |
| 49 | +# Convert back to itk image data structure |
| 50 | +itk_image = itk.image_from_dict(image_dict) |
| 51 | + |
| 52 | + |
| 53 | +# Read input mesh |
| 54 | +itk_mesh = itk.meshread(input_mesh_filename) |
| 55 | + |
| 56 | +# Convert to standard Python data types + NumPy arrays |
| 57 | +mesh_dict = itk.dict_from_mesh(itk_mesh) |
| 58 | + |
| 59 | + |
| 60 | +# Do interesting things... |
| 61 | + |
| 62 | + |
| 63 | +# Convert back to itk mesh data structure |
| 64 | +itk_mesh = itk.mesh_from_dict(mesh_dict) |
| 65 | + |
| 66 | +# Save result |
| 67 | +itk.meshwrite(itk_mesh, output_mesh_filename) |
| 68 | + |
| 69 | + |
| 70 | +# itk.Mesh inherits from itk.PointSet, |
| 71 | +# create a PointSet from the Mesh |
| 72 | +itk_pointset = itk.PointSet[itk.F, 3].New() |
| 73 | +itk_pointset.SetPoints(itk_mesh.GetPoints()) |
| 74 | +itk_pointset.SetPointData(itk_mesh.GetPointData()) |
| 75 | + |
| 76 | +# Convert to standard Python data types + NumPy arrays |
| 77 | +pointset_dict = itk.pointset_from_dict(itk_pointset) |
| 78 | + |
| 79 | + |
| 80 | +# Do interesting things... |
| 81 | + |
| 82 | + |
| 83 | +# Convert back to itk pointset instance |
| 84 | +itk_pointset = itk.pointset_from_dict(pointset_dict) |
| 85 | + |
| 86 | + |
| 87 | +# Read input transforms |
| 88 | +# |
| 89 | +# This is a Python list |
| 90 | +# |
| 91 | +# When there is more than one transformation |
| 92 | +# the list defines a transformation chain |
| 93 | +itk_transforms = itk.transformread(input_transform_filename) |
| 94 | + |
| 95 | +# Convert to standard Python data types + NumPy arrays |
| 96 | +transform_dicts = [itk.dict_from_transform(t) for t in itk_transforms] |
| 97 | + |
| 98 | + |
| 99 | +# Do interesting things... |
| 100 | + |
| 101 | + |
| 102 | +# Convert back to itk transform instance |
| 103 | +itk_transforms = [itk.transform_from_dict(t) for t in transform_dicts] |
| 104 | + |
| 105 | +# Save result |
| 106 | +itk.transformwrite(itk_transforms, output_transform_filename) |
| 107 | + |
36 | 108 |
|
37 | 109 | # VNL matrix from np.ndarray |
38 | 110 | arr = np.zeros([3,3], np.uint8) |
|
53 | 125 |
|
54 | 126 | # np.ndarray from itk.Matrix |
55 | 127 | arr = itk.array_from_matrix(mat) |
| 128 | +# Equivalent |
| 129 | +arr = np.asarray(mat) |
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