A .tri file contains facial expression data, that is, morphs for dynamic expressions such as smile, frown, and so on.

Regression tests

Read a TRI file

>>> # check and read tri file
>>> stream = open('tests/tri/mmouthxivilai.tri', 'rb')
>>> data = TriFormat.Data()
>>> data.inspect(stream)
>>> # do some stuff with header?
>>> data.num_vertices
89
>>> data.num_tri_faces
215
>>> data.num_quad_faces
0
>>> data.num_uvs
89
>>> data.num_morphs
18
>>> data.read(stream) # doctest: +ELLIPSIS
>>> print([str(morph.name.decode("ascii")) for morph in data.morphs])
['Fear', 'Surprise', 'Aah', 'BigAah', 'BMP', 'ChJSh', 'DST', 'Eee', 'Eh', 'FV', 'I', 'K', 'N', 'Oh', 'OohQ', 'R', 'Th', 'W']

Parse all TRI files in a directory tree

>>> for stream, data in TriFormat.walkData('tests/tri'):
...     print(stream.name)
tests/tri/mmouthxivilai.tri

Create an TRI file from scratch and write to file

>>> data = TriFormat.Data()
>>> from tempfile import TemporaryFile
>>> stream = TemporaryFile()
>>> data.write(stream)

Package tri

Implementation

Regression tests

Read a TRI file

Parse all TRI files in a directory tree

Create an TRI file from scratch and write to file