def DisplayShape(self,
shape,
vertex_shader=None,
fragment_shader=None,
map_faces_to_mesh=False,
export_edges=False,
color=(0.65, 0.65, 0.65),
specular_color=(1, 1, 1),
shininess=0.9,
transparency=0.,
line_color=(0, 0., 0.),
line_width=2.,
mesh_quality=1.):
# create the shape hash
shape_uuid = uuid.uuid4().hex
shape_hash = "shp%s" % shape_uuid
# tesselate
tess = Tesselator(shape)
tess.Compute(compute_edges=export_edges, mesh_quality=mesh_quality)
#
sys.stdout.write(
"\r%s mesh shape, %i triangles" %
(next(self.spinning_cursor), tess.ObjGetTriangleCount()))
sys.stdout.flush()
# export to 3JS
shape_full_path = os.path.join(self._path, shape_hash + '.json')
# add this shape to the shape dict, sotres everything related to it
self._3js_shapes[shape_hash] = [
export_edges, color, specular_color, shininess, transparency,
line_color, line_width
]
# generate the mesh
#tess.ExportShapeToThreejs(shape_hash, shape_full_path)
# and also to JSON
with open(shape_full_path, 'w') as json_file:
json_file.write(tess.ExportShapeToThreejsJSONString(shape_uuid))
# draw edges if necessary
edges = []
if export_edges:
# export each edge to a single json
# get number of edges
nbr_edges = tess.ObjGetEdgeCount()
for i_edge in range(nbr_edges):
# after that, the file can be appended
str_to_write = ''
edge_point_set = []
nbr_vertices = tess.ObjEdgeGetVertexCount(i_edge)
for i_vert in range(nbr_vertices):
edge_point_set.append(tess.GetEdgeVertex(i_edge, i_vert))
# write to file
edge_hash = "edg%s" % uuid.uuid4().hex
str_to_write += ExportEdgeToJSON(edge_hash, edge_point_set)
# create the file
edge_full_path = os.path.join(self._path, edge_hash + '.json')
with open(edge_full_path, "w") as edge_file:
edge_file.write(str_to_write)
# store this edge hash
self._edges_hash.append(edge_hash)
def compute(self):
shape_tesselator = Tesselator(self._shape)
shape_tesselator.Compute(compute_edges=self._export_edges,
mesh_quality=self._mesh_quality)
self._triangle_sets.append(shape_tesselator.ExportShapeToX3DIndexedFaceSet())
# then process edges
if self._export_edges:
# get number of edges
nbr_edges = shape_tesselator.ObjGetEdgeCount()
for i_edge in range(nbr_edges):
edge_point_set = []
nbr_vertices = shape_tesselator.ObjEdgeGetVertexCount(i_edge)
for i_vert in range(nbr_vertices):
edge_point_set.append(shape_tesselator.GetEdgeVertex(i_edge, i_vert))
ils = ExportEdgeToILS(edge_point_set)
self._line_sets.append(ils)
def draw_shape_mpl(shape):
"""
Draw a TopoDS_Shape with matplotlib
"""
tess = Tesselator(shape)
triangles = []
edges = []
# get the triangles
triangle_count = tess.ObjGetTriangleCount()
for i_triangle in range(0, triangle_count):
i1, i2, i3 = tess.GetTriangleIndex(i_triangle)
triangles.append(
[tess.GetVertex(i1),
tess.GetVertex(i2),
tess.GetVertex(i3)])
# get the edges
edge_count = tess.ObjGetEdgeCount()
for i_edge in range(0, edge_count):
vertex_count = tess.ObjEdgeGetVertexCount(i_edge)
edge = []
for i_vertex in range(0, vertex_count):
vertex = tess.GetEdgeVertex(i_edge, i_vertex)
edge.append(vertex)
edges.append(edge)
# plot it
fig = plt.figure()
ax = Axes3D(fig)
ax.add_collection3d(Poly3DCollection(triangles, linewidths=0.2, alpha=0.5))
ax.add_collection3d(Line3DCollection(edges, colors='w', linewidths=1.0))
ax.get_xaxis().set_visible(True)
ax.get_yaxis().set_visible(True)
ax.set_autoscale_on(True)
plt.show()
def DisplayShape(self,
shp, # the TopoDS_Shape to be displayed
shape_color=default_shape_color, # the default
render_edges=False,
edge_color=default_edge_color,
compute_uv_coords=False,
quality=1.0,
update=False):
""" Displays a topods_shape in the renderer instance.
shp: the TopoDS_Shape to render
shape_color: the shape color, in html corm, eg '#abe000'
render_edges: optional, False by default. If True, compute and dislay all
edges as a linear interpolation of segments.
edge_color: optional, black by default. The color used for edge rendering,
in html form eg '#ff00ee'
compute_uv_coords: optional, false by default. If True, compute texture
coordinates (required if the shape has to be textured)
quality: optional, 1.0 by default. If set to something lower than 1.0,
mesh will be more precise. If set to something higher than 1.0,
mesh will be less precise, i.e. lower numer of triangles.
update: optional, False by default. If True, render all the shapes.
"""
# first, compute the tesselation
tess = Tesselator(shp)
tess.Compute(uv_coords=compute_uv_coords,
compute_edges=render_edges,
mesh_quality=quality,
parallel=self._parallel)
# get vertices and normals
vertices_position = tess.GetVerticesPositionAsTuple()
number_of_triangles = tess.ObjGetTriangleCount()
number_of_vertices = len(vertices_position)
# number of vertices should be a multiple of 3
assert number_of_vertices % 3 == 0
assert number_of_triangles * 9 == number_of_vertices
# then we build the vertex and faces collections as numpy ndarrays
np_vertices = np.array(vertices_position, dtype='float32').reshape(int(number_of_vertices / 3), 3)
# Note: np_faces is just [0, 1, 2, 3, 4, 5, ...], thus arange is used
np_faces = np.arange(np_vertices.shape[0], dtype='uint32')
# set geometry properties
buffer_geometry_properties = {'position': BufferAttribute(np_vertices),
'index' : BufferAttribute(np_faces)}
if self._compute_normals_mode == NORMAL.SERVER_SIDE:
# get the normal list, converts to a numpy ndarray. This should not raise
# any issue, since normals have been computed by the server, and are available
# as a list of floats
np_normals = np.array(tess.GetNormalsAsTuple(), dtype='float32').reshape(-1, 3)
# quick check
assert np_normals.shape == np_vertices.shape
buffer_geometry_properties['normal'] = BufferAttribute(np_normals)
# build a BufferGeometry instance
shape_geometry = BufferGeometry(attributes=buffer_geometry_properties)
# if the client has to render normals, add the related js instructions
if self._compute_normals_mode == NORMAL.CLIENT_SIDE:
shape_geometry.exec_three_obj_method('computeVertexNormals')
# then a default material
shp_material = MeshPhongMaterial(color=shape_color,
polygonOffset=True,
polygonOffsetFactor=1,
polygonOffsetUnits=1,
shininess=0.9)
# create a mesh unique id
mesh_id = uuid.uuid4().hex
# finally create the mash
shape_mesh = Mesh(geometry=shape_geometry,
material=shp_material,
name=mesh_id)
# adds this mesh to the list of meshes
self._displayed_pickable_objects.add(shape_mesh)
# and to the dict of shapes, to have a mapping between meshes and shapes
self._shapes[mesh_id] = shp
# edge rendering, if set to True
edge_lines = None
if render_edges:
edges = list(map(lambda i_edge: [tess.GetEdgeVertex(i_edge, i_vert) for i_vert in range(tess.ObjEdgeGetVertexCount(i_edge))], range(tess.ObjGetEdgeCount())))
edges = list(filter(lambda edge: len(edge) == 2, edges))
np_edge_vertices = np.array(edges, dtype=np.float32).reshape(-1, 3)
np_edge_indices = np.arange(np_edge_vertices.shape[0], dtype=np.uint32)
edge_geometry = BufferGeometry(attributes={
'position': BufferAttribute(np_edge_vertices),
'index' : BufferAttribute(np_edge_indices)
})
edge_material = LineBasicMaterial(color=edge_color, linewidth=1)
edge_lines = LineSegments(geometry=edge_geometry, material=edge_material)
self._displayed_pickable_objects.add(edge_lines)
if update:
self.Display()
def AddShapeToScene(self,
shp, # the TopoDS_Shape to be displayed
shape_color=default_shape_color, # the default
render_edges=False,
edge_color=default_edge_color,
compute_uv_coords=False,
quality=1.0,
transparency=False,
opacity=1.):
# first, compute the tesselation
tess = Tesselator(shp)
tess.Compute(uv_coords=compute_uv_coords,
compute_edges=render_edges,
mesh_quality=quality,
parallel=self._parallel)
# get vertices and normals
vertices_position = tess.GetVerticesPositionAsTuple()
number_of_triangles = tess.ObjGetTriangleCount()
number_of_vertices = len(vertices_position)
# number of vertices should be a multiple of 3
assert number_of_vertices % 3 == 0
assert number_of_triangles * 9 == number_of_vertices
# then we build the vertex and faces collections as numpy ndarrays
np_vertices = np.array(vertices_position, dtype='float32').reshape(int(number_of_vertices / 3), 3)
# Note: np_faces is just [0, 1, 2, 3, 4, 5, ...], thus arange is used
np_faces = np.arange(np_vertices.shape[0], dtype='uint32')
# set geometry properties
buffer_geometry_properties = {'position': BufferAttribute(np_vertices),
'index' : BufferAttribute(np_faces)}
if self._compute_normals_mode == NORMAL.SERVER_SIDE:
# get the normal list, converts to a numpy ndarray. This should not raise
# any issue, since normals have been computed by the server, and are available
# as a list of floats
np_normals = np.array(tess.GetNormalsAsTuple(), dtype='float32').reshape(-1, 3)
# quick check
assert np_normals.shape == np_vertices.shape
buffer_geometry_properties['normal'] = BufferAttribute(np_normals)
# build a BufferGeometry instance
shape_geometry = BufferGeometry(attributes=buffer_geometry_properties)
# if the client has to render normals, add the related js instructions
if self._compute_normals_mode == NORMAL.CLIENT_SIDE:
shape_geometry.exec_three_obj_method('computeVertexNormals')
# then a default material
shp_material = MeshPhongMaterial(color=shape_color,
polygonOffset=True,
polygonOffsetFactor=1,
polygonOffsetUnits=1,
shininess=0.9,
transparent=transparency)
# create a mesh unique id
mesh_id = uuid.uuid4().hex
# finally create the mash
shape_mesh = Mesh(geometry=shape_geometry,
material=shp_material,
name=mesh_id)
# and to the dict of shapes, to have a mapping between meshes and shapes
self._shapes[mesh_id] = shp
# edge rendering, if set to True
edge_lines = None
if render_edges:
edges = list(map(lambda i_edge: [tess.GetEdgeVertex(i_edge, i_vert) for i_vert in range(tess.ObjEdgeGetVertexCount(i_edge))], range(tess.ObjGetEdgeCount())))
edges = list(filter(lambda edge: len(edge) == 2, edges))
np_edge_vertices = np.array(edges, dtype=np.float32).reshape(-1, 3)
np_edge_indices = np.arange(np_edge_vertices.shape[0], dtype=np.uint32)
edge_geometry = BufferGeometry(attributes={
'position': BufferAttribute(np_edge_vertices),
'index' : BufferAttribute(np_edge_indices)
})
edge_material = LineBasicMaterial(color=edge_color, linewidth=1)
edge_lines = LineSegments(geometry=edge_geometry, material=edge_material)
# Add geometries to pickable or non pickable objects
self._displayed_pickable_objects.add(shape_mesh)
if render_edges:
self._displayed_non_pickable_objects.add(edge_lines)
def generate_png(shape):
"""
Draw a TopoDS_Shape with matplotlib
"""
from OCC.Visualization import Tesselator
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d.art3d import Poly3DCollection, Line3DCollection
tess = Tesselator(shape)
triangles = []
edges = []
# get the triangles
triangle_count = tess.ObjGetTriangleCount()
for i_triangle in range(0, triangle_count):
i1, i2, i3 = tess.GetTriangleIndex(i_triangle)
triangles.append([tess.GetVertex(i1), tess.GetVertex(i2), tess.GetVertex(i3)])
# get the edges
edge_count = tess.ObjGetEdgeCount()
for i_edge in range(0, edge_count):
vertex_count = tess.ObjEdgeGetVertexCount(i_edge)
edge = []
for i_vertex in range(0, vertex_count):
vertex = tess.GetEdgeVertex(i_edge, i_vertex)
edge.append(vertex)
edges.append(edge)
# plot it
fig_side = plt.figure(figsize=(10, 4))
ax = Axes3D(fig_side)
ax.add_collection3d(Poly3DCollection(triangles, linewidths=0.15, alpha=0.5))
ax.add_collection3d(Line3DCollection(edges, colors='w', linewidths=1.0))
ax.set_axis_off()
ax.set_xlim(-1800, 1800)
ax.set_ylim(-800, 800)
ax.set_zlim(-800, 800)
ax.view_init(elev=-1., azim=90)
fig_side.savefig("views/side.png")
fig_top = plt.figure(figsize=(5, 4))
ax_top = Axes3D(fig_top)
ax_top.add_collection3d(Poly3DCollection(triangles, linewidths=0.15, alpha=0.5))
ax_top.add_collection3d(Line3DCollection(edges, colors='w', linewidths=1.0))
ax_top.set_axis_off()
ax_top.set_xlim(-2500, 2500)
ax_top.set_ylim(-50, 450)
ax_top.set_zlim(-250, 250)
ax_top.view_init(elev=-1., azim=-2)
fig_top.savefig("views/back.png")
ax_top.set_xlim(-2500, 2500)
ax_top.set_ylim(-50, 450)
ax_top.set_zlim(-200, 300)
ax_top.view_init(elev=-1., azim=182)
fig_top.savefig("views/front.png")
