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| 1 | +# emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*- |
| 2 | +# vi: set ft=python sts=4 ts=4 sw=4 et: |
| 3 | +### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## |
| 4 | +# |
| 5 | +# See COPYING file distributed along with the NiBabel package for the |
| 6 | +# copyright and license terms. |
| 7 | +# |
| 8 | +### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## |
| 9 | +# General JMesh Input - Output to and from the filesystem |
| 10 | +# Qianqian Fang <q.fang at neu.edu> |
| 11 | +############## |
| 12 | + |
| 13 | +__all__ = ['JMesh','read','write','default_header'] |
| 14 | + |
| 15 | +from jdata import (load as jdload, save as jdsave) |
| 16 | +import numpy as np |
| 17 | +from ..filebasedimages import FileBasedImage |
| 18 | + |
| 19 | +default_header = { |
| 20 | + "JMeshVersion":"0.5", |
| 21 | + "Comment":"Created by NiPy with NeuroJSON JMesh specification", |
| 22 | + "AnnotationFormat":"https://neurojson.org/jmesh/draft2", |
| 23 | + "Parser":{ |
| 24 | + "Python":[ |
| 25 | + "https://pypi.org/project/jdata", |
| 26 | + "https://pypi.org/project/bjdata" |
| 27 | + ], |
| 28 | + "MATLAB":[ |
| 29 | + "https://github.com/NeuroJSON/jnifty", |
| 30 | + "https://github.com/NeuroJSON/jsonlab" |
| 31 | + ], |
| 32 | + "JavaScript":"https://github.com/NeuroJSON/jsdata", |
| 33 | + "CPP":"https://github.com/NeuroJSON/json", |
| 34 | + "C":"https://github.com/NeuroJSON/ubj" |
| 35 | + } |
| 36 | +} |
| 37 | + |
| 38 | +class JMesh(FileBasedImage): |
| 39 | + """JMesh: a simple data structure representing a brain surface |
| 40 | +
|
| 41 | + * Description - JMesh defines a set of language-neutral JSON annotations for |
| 42 | + storage and exchange of mesh-related data. The details of the specification |
| 43 | + can be found in NeuroJSON's website at https://neurojson.org |
| 44 | +
|
| 45 | + * Child Elements: [NA] |
| 46 | + * Text Content: [NA] |
| 47 | +
|
| 48 | + Attributes |
| 49 | + ---------- |
| 50 | + info: a dict |
| 51 | + A dict object storing the metadata (`_DataInfo_`) section of the JMesh |
| 52 | + file |
| 53 | + node : 2-D list or numpy array |
| 54 | + A 2-D numpy.ndarray object to store the vertices of the mesh |
| 55 | + nodelabel : 1-D list or numpy array |
| 56 | + A 1-D numpy.ndarray object to store the label of each vertex |
| 57 | + face : 2-D list or numpy array |
| 58 | + A 2-D numpy.ndarray object to store the triangular elements of the |
| 59 | + mesh; indices start from 1 |
| 60 | + facelabel : 1-D list or numpy array |
| 61 | + A 1-D numpy.ndarray object to store the label of each triangle |
| 62 | + raw : a dict |
| 63 | + The raw data loaded from the .jmsh or .bmsh file |
| 64 | + """ |
| 65 | + valid_exts = ('.jmsh', '.bmsh') |
| 66 | + files_types = (('image', '.jmsh'), ('image', '.bmsh')) |
| 67 | + makeable = False |
| 68 | + rw = True |
| 69 | + |
| 70 | + def __init__(self, info=None, node=None, nodelabel=None, face=None, |
| 71 | + facelabel=None): |
| 72 | + |
| 73 | + self.raw = {} |
| 74 | + if(not info is None): |
| 75 | + self.raw['_DataInfo_'] = info |
| 76 | + |
| 77 | + if(not nodelabel is None): |
| 78 | + self.raw['MeshVertex3'] = {'Data': node, 'Properties': {'Tag': nodelabel} } |
| 79 | + self.node = self.raw['MeshVertex3']['Data'] |
| 80 | + self.nodelabel = self.raw['MeshVertex3']['Properties']['Tag'] |
| 81 | + else: |
| 82 | + self.raw['MeshVertex3'] = node |
| 83 | + self.node = self.raw['MeshVertex3'] |
| 84 | + |
| 85 | + if(not facelabel is None): |
| 86 | + self.raw['MeshTri3'] = {'Data': face, 'Properties': {'Tag': facelabel} } |
| 87 | + self.face = self.raw['MeshTri3']['Data'] |
| 88 | + self.facelabel = self.raw['MeshTri3']['Properties']['Tag'] |
| 89 | + else: |
| 90 | + self.raw['MeshTri3'] = face |
| 91 | + self.face = self.raw['MeshTri3'] |
| 92 | + |
| 93 | + @classmethod |
| 94 | + def from_filename(self, filename, opt={}, **kwargs): |
| 95 | + self = read(filename, opt, **kwargs) |
| 96 | + return self |
| 97 | + |
| 98 | + @classmethod |
| 99 | + def to_filename(self, filename, opt={}, **kwargs): |
| 100 | + write(self, filename, opt, **kwargs) |
| 101 | + |
| 102 | +def read(filename, opt={}, **kwargs): |
| 103 | + """ Load a JSON or binary JData (BJData) based JMesh file |
| 104 | +
|
| 105 | + Parameters |
| 106 | + ---------- |
| 107 | + filename : string |
| 108 | + The JMesh file to open, it has usually ending .gii |
| 109 | + opt: a dict that may contain below option keys |
| 110 | + ndarray: boolean, if True, node/face/nodelabel/facelabel are converted |
| 111 | + to numpy.ndarray, otherwise, leave those unchanged |
| 112 | + kwargs: additional keyword arguments for `json.load` when .jmsh file is being loaded |
| 113 | +
|
| 114 | + Returns |
| 115 | + ------- |
| 116 | + mesh : a JMesh object |
| 117 | + Return a JMesh object containing mesh data fields such as node, face, nodelabel etc |
| 118 | + """ |
| 119 | + opt.setdefault('ndarray',True) |
| 120 | + |
| 121 | + mesh = JMesh |
| 122 | + mesh.raw = jdload(filename, opt, **kwargs) |
| 123 | + |
| 124 | + #-------------------------------------------------- |
| 125 | + # read metadata as `info` |
| 126 | + #-------------------------------------------------- |
| 127 | + if('_DataInfo_' in mesh.raw): |
| 128 | + mesh.info = mesh.raw['_DataInfo_'] |
| 129 | + |
| 130 | + #-------------------------------------------------- |
| 131 | + # read vertices as `node` and `nodelabel` |
| 132 | + #-------------------------------------------------- |
| 133 | + if('MeshVertex3' in mesh.raw): |
| 134 | + mesh.node = mesh.raw['MeshVertex3'] |
| 135 | + elif('MeshNode' in mesh.raw): |
| 136 | + mesh.node = mesh.raw['MeshNode'] |
| 137 | + else: |
| 138 | + raise Exception('JMesh', 'JMesh surface must contain node (MeshVertex3 or MeshNode)') |
| 139 | + |
| 140 | + if(isinstance(mesh.node, dict)): |
| 141 | + if(('Properties' in mesh.node) and ('Tag' in mesh.node['Properties'])): |
| 142 | + mesh.nodelabel = mesh.node['Properties']['Tag'] |
| 143 | + if('Data' in mesh.node): |
| 144 | + mesh.node = mesh.node['Data'] |
| 145 | + if(isinstance(mesh.node, np.ndarray) and mesh.node.ndim == 2 and mesh.node.shape[1] > 3): |
| 146 | + mesh.nodelabel = mesh.node[:,3:] |
| 147 | + mesh.node = mesh.node[:, 0:3] |
| 148 | + |
| 149 | + #-------------------------------------------------- |
| 150 | + # read triangles as `face` and `facelabel` |
| 151 | + #-------------------------------------------------- |
| 152 | + if('MeshTri3' in mesh.raw): |
| 153 | + mesh.face = mesh.raw['MeshTri3'] |
| 154 | + elif('MeshSurf' in mesh.raw): |
| 155 | + mesh.face = mesh.raw['MeshSurf'] |
| 156 | + |
| 157 | + if(isinstance(mesh.face, dict)): |
| 158 | + if(('Properties' in mesh.face) and ('Tag' in mesh.face['Properties'])): |
| 159 | + mesh.facelabel = mesh.face['Properties']['Tag'] |
| 160 | + if('Data' in mesh.face): |
| 161 | + mesh.face = mesh.face['Data'] |
| 162 | + if(isinstance(mesh.face, np.ndarray) and mesh.face.ndim == 2 and mesh.face.shape[1] > 3): |
| 163 | + mesh.facelabel = mesh.face[:,3:] |
| 164 | + mesh.face = mesh.face[:, 0:3] |
| 165 | + |
| 166 | + #-------------------------------------------------- |
| 167 | + # convert to numpy ndarray |
| 168 | + #-------------------------------------------------- |
| 169 | + if(opt['ndarray']): |
| 170 | + if hasattr(mesh, 'node') and (not mesh.node is None) and (not isinstance(mesh.node, np.ndarray)): |
| 171 | + mesh.node = np.array(mesh.node) |
| 172 | + |
| 173 | + if hasattr(mesh, 'face') and (not mesh.face is None) and (not isinstance(mesh.face, np.ndarray)): |
| 174 | + mesh.face = np.array(mesh.face) |
| 175 | + |
| 176 | + if hasattr(mesh, 'nodelabel') and (not mesh.nodelabel is None) and (not isinstance(mesh.nodelabel, np.ndarray)): |
| 177 | + mesh.nodelabel = np.array(mesh.nodelabel) |
| 178 | + |
| 179 | + if hasattr(mesh, 'facelabel') and (not mesh.facelabel is None) and (not isinstance(mesh.facelabel, np.ndarray)): |
| 180 | + mesh.facelabel = np.array(mesh.facelabel) |
| 181 | + |
| 182 | + return mesh |
| 183 | + |
| 184 | +def write(mesh, filename, opt={}, **kwargs): |
| 185 | + """ Save the current mesh to a new file |
| 186 | +
|
| 187 | + Parameters |
| 188 | + ---------- |
| 189 | + mesh : a JMesh object |
| 190 | + filename : string |
| 191 | + Filename to store the JMesh file (.jmsh for JSON based JMesh and |
| 192 | + .bmsh for binary JMesh files) |
| 193 | + opt: a dict that may contain below option keys |
| 194 | + ndarray: boolean, if True, node/face/nodelabel/facelabel are converted |
| 195 | + to numpy.ndarray, otherwise, leave those unchanged |
| 196 | + kwargs: additional keyword arguments for `json.dump` when .jmsh file is being saved |
| 197 | +
|
| 198 | + Returns |
| 199 | + ------- |
| 200 | + None |
| 201 | +
|
| 202 | + We update the mesh related data fields `MeshVetex3`, `MeshTri3` and metadata `_DataInfo_` |
| 203 | + from mesh.node, mesh.face and mesh.info, then save mesh.raw to JData files |
| 204 | + """ |
| 205 | + |
| 206 | + if not hasattr(mesh, 'raw') or mesh.raw is None: |
| 207 | + mesh.raw = {} |
| 208 | + |
| 209 | + if hasattr(mesh, 'info') and not mesh.info is None: |
| 210 | + mesh.raw['_DataInfo_']=mesh.info |
| 211 | + if hasattr(mesh, 'node') and not mesh.node is None: |
| 212 | + if(hasattr(mesh, 'facelabel') and not mesh.nodelabel is None): |
| 213 | + mesh.raw['MeshVertex3']={'Data': mesh.node, 'Properties': {'Tag': mesh.nodelabel}} |
| 214 | + else: |
| 215 | + mesh.raw['MeshVertex3']=mesh.node |
| 216 | + |
| 217 | + if hasattr(mesh, 'info') and not mesh.face is None: |
| 218 | + if(hasattr(mesh, 'facelabel') and not mesh.facelabel is None): |
| 219 | + mesh.raw['MeshTri3']={'Data': mesh.face, 'Properties': {'Tag': mesh.facelabel}} |
| 220 | + else: |
| 221 | + mesh.raw['MeshTri3']=mesh.face |
| 222 | + |
| 223 | + return jdsave(mesh.raw, filename, opt, **kwargs) |
| 224 | + |
| 225 | +load = read |
| 226 | +save = write |
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