How to use pyassimp - 10 common examples

To help you get started, we’ve selected a few pyassimp examples, based on popular ways it is used in public projects.

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github anttisalonen / pyopengl-tests / two-cubes.py View on Github external
def __init__(self, filename):
        self.model = pyassimp.load(filename)
        self.vertices = numpy.array(flatten(self.model.meshes[0].vertices), numpy.float32)
        self.make_indices()
        # NOTE: this drops the W from UVW-coordinates.
        self.texcoords = numpy.array([item for sublist in self.model.meshes[0].texcoords[0] for item in sublist[:2]], numpy.float32)
        self.normals = numpy.array(flatten(self.model.meshes[0].normals), numpy.float32)
github anttisalonen / pyopengl-tests / directional.py View on Github external
def load_model(filename):
    return pyassimp.load(filename)
github anttisalonen / pyopengl-tests / cliff.py View on Github external
def __init__(self, filename):
        self.model = pyassimp.load(filename)
        self.vertices = numpy.array(flatten(self.model.meshes[0].vertices), numpy.float32)
        self.make_indices()
        # NOTE: this drops the W from UVW-coordinates.
        self.texcoords = numpy.array([item for sublist in self.model.meshes[0].texcoords[0] for item in sublist[:2]], numpy.float32)
        self.normals = numpy.array(flatten(self.model.meshes[0].normals), numpy.float32)
github anttisalonen / pyopengl-tests / cliff.py View on Github external
def __del__(self):
        pyassimp.release(self.model)
github anttisalonen / pyopengl-tests / two-cubes.py View on Github external
def __del__(self):
        pyassimp.release(self.model)
github anttisalonen / pyopengl-tests / ambient.py View on Github external
def load_model(filename):
    return pyassimp.load(filename)
github mikedh / trimesh / trimesh / mesh_io.py View on Github external
Also, you need a very recent version of PyAssimp for this function to work 
    (the commit was merged into the assimp github master on roughly 9/5/2014)
    '''

    def LPMesh_to_Trimesh(lp):
        return Trimesh(vertices       = lp.vertices,
                       vertex_normals = lp.normals,
                       faces          = lp.faces,
                       vertex_colors  = lp.colors)

    if not hasattr(file_obj, 'read'):
        # if there is no read attribute, we assume we've been passed a file name
        file_type = (str(file_obj).split('.')[-1]).lower()
        file_obj  = open(file_obj, 'rb')

    scene  = pyassimp.load(file_obj, file_type=file_type)
    meshes = list(map(LPMesh_to_Trimesh, scene.meshes))
    pyassimp.release(scene)

    if len(meshes) == 1: 
        return meshes[0]
    return meshes
 
github mikedh / trimesh / trimesh / mesh_io.py View on Github external
'''

    def LPMesh_to_Trimesh(lp):
        return Trimesh(vertices       = lp.vertices,
                       vertex_normals = lp.normals,
                       faces          = lp.faces,
                       vertex_colors  = lp.colors)

    if not hasattr(file_obj, 'read'):
        # if there is no read attribute, we assume we've been passed a file name
        file_type = (str(file_obj).split('.')[-1]).lower()
        file_obj  = open(file_obj, 'rb')

    scene  = pyassimp.load(file_obj, file_type=file_type)
    meshes = list(map(LPMesh_to_Trimesh, scene.meshes))
    pyassimp.release(scene)

    if len(meshes) == 1: 
        return meshes[0]
    return meshes
 
github robotlearn / pyrobolearn / pyrobolearn / utils / parsers / robots / mujoco_parser.py View on Github external
# create filename with the correction extension (STL)
            basename = os.path.basename(filename)
            basename_without_extension = ''.join(basename.split('.')[:-1])
            # dirname = os.path.dirname(filename)
            # filename_without_extension = dirname + basename_without_extension
            # new_filename = filename_without_extension + '.stl'
            new_filename = mesh_dirname + '/' + basename_without_extension + '.stl'

            # if file does not already exists, convert it
            if not os.path.isfile(new_filename):

                # use pyassimp to
                scene = pyassimp.load(filename)
                pyassimp.export(scene, new_filename, file_type='stlb')
                pyassimp.release(scene)

                #
                # export_mesh(trimesh.load(filename), new_filename)

            return new_filename
        return filename
github robotlearn / pyrobolearn / pyrobolearn / utils / mesh.py View on Github external
def convert_mesh(from_filename, to_filename, library='pyassimp', binary=False):
    """
    Convert the given file containing the original mesh to the other specified format using the `pyassimp` library.

    Args:
        from_filename (str): filename of the mesh to convert.
        to_filename (str): filename of the converted mesh.
        library (str): library to use to convert the meshes. Select between 'pyassimp' and 'trimesh'.
        binary (bool): if True, it will be in a binary format. This is only valid for some formats such as STL where
          you have the ASCII version 'stl' and the binary version 'stlb'.
    """
    if library == 'pyassimp':
        scene = pyassimp.load(from_filename)
        extension = to_filename.split('.')[-1].lower()
        if binary:  # for binary add 'b' as a suffix. Ex: '<file>.stlb'
            pyassimp.export(scene, to_filename, file_type=extension + 'b')
        else:
            pyassimp.export(scene, to_filename, file_type=extension)
        pyassimp.release(scene)
    elif library == 'trimesh':
        export_mesh(trimesh.load(from_filename), to_filename)
    else:
        raise NotImplementedError("The given library '{}' is currently not supported, select between 'pyassimp' and "
                                  "'trimesh'".format(library))