我已经开始使用 mayavi，我正在尝试绘制体素网格。为此，我使用 mlab.plot3d 来绘制网格的每一行，这使得程序非常慢，因为必须为每一行调用渲染。有没有办法通过调用 mlab.plot3d 一次来绘制所有线条？主要问题是我正在绘制的线已断开连接，如果我将一条线放在同一数组中的另一条线之后，则渲染将绘制我不想要的连接。我尝试通过在两条线之间放置 None 来连接两条未连接的线：
lines = [0.0, 3.0, None, 0.0, 6.0]
但这不起作用。
我的逐行绘制网格的函数如下所示：
def draw_voxel_grid_bbox_translated(voxel_grid, tube_radius=0.01, color=(0,0,0)):
'''
Draw a bounding box that shows the dimensions of the complete voxel grid in passed color
:param voxel_grid: The voxel grid used to draw the bounding box
:return: None
'''
# Drawing lines parallel to x axis
sense_change_z = 0
for z_step in range(2):
sense_change_y = 0
for y_step in range(2):
if sense_change_y == 0:
xs = [voxel_grid.min_grid_x - voxel_grid.min_grid_x, voxel_grid.max_grid_x - voxel_grid.min_grid_x]
sense_change_y = 1
else:
xs = [voxel_grid.max_grid_x - voxel_grid.min_grid_x, voxel_grid.min_grid_x - voxel_grid.min_grid_x]
sense_change_y = 0
if y_step == 0:
y_coord = voxel_grid.min_grid_y
else:
y_coord = voxel_grid.max_grid_y
if z_step == 0:
z_coord = voxel_grid.min_grid_z
else:
z_coord = voxel_grid.max_grid_z
ys = [y_coord - voxel_grid.min_grid_y, y_coord - voxel_grid.min_grid_y]
zs = [z_coord - voxel_grid.min_grid_z, z_coord - voxel_grid.min_grid_z]
mlab.plot3d(xs, ys, zs, color=color, tube_radius=tube_radius)
# Drawing lines parallel to y axis
for x_step in range(2):
for z_step in range(2):
ys = [voxel_grid.min_grid_y - voxel_grid.min_grid_y, voxel_grid.max_grid_y - voxel_grid.min_grid_y]
if x_step == 0:
x_coord = voxel_grid.min_grid_x
else:
x_coord = voxel_grid.max_grid_x
if z_step == 0:
z_coord = voxel_grid.min_grid_z
else:
z_coord = voxel_grid.max_grid_z
xs = [x_coord - voxel_grid.min_grid_x, x_coord - voxel_grid.min_grid_x]
zs = [z_coord - voxel_grid.min_grid_z, z_coord - voxel_grid.min_grid_z]
mlab.plot3d(xs, ys, zs, color=color, tube_radius=tube_radius)
# Drawing lines parallel to z axis
for x_step in range(2):
for y_step in range(2):
zs = [voxel_grid.min_grid_z - voxel_grid.min_grid_z, voxel_grid.max_grid_z - voxel_grid.min_grid_z]
if x_step == 0:
x_coord = voxel_grid.min_grid_x
else:
x_coord = voxel_grid.max_grid_x
if y_step == 0:
y_coord = voxel_grid.min_grid_y
else:
y_coord = voxel_grid.max_grid_y
xs = [x_coord - voxel_grid.min_grid_x, x_coord - voxel_grid.min_grid_x]
ys = [y_coord - voxel_grid.min_grid_y, y_coord - voxel_grid.min_grid_y]
mlab.plot3d(xs, ys, zs, color=color, tube_radius=tube_radius)
通过调用points3d 可以在点之间连接任意线，而且速度非常快。使用蛋白质示例
中的以下代码import mayavi.mlab as mlab
import numpy as np
connections = ((0,2),(3,5)) # point 0 and 2 and 3 and 5 are connected
x = np.random.randn(10)
y = np.random.randn(10)
z = np.random.randn(10)
pts = mlab.points3d(x, y, z)
pts.mlab_source.dataset.lines = np.array(connections)
tube = mlab.pipeline.tube(pts, tube_radius=0.15)
tube.filter.radius_factor = 1.
mlab.pipeline.surface(tube, color=(0.8, 0.8, 0))
mlab.show()
感谢@Jannick 的回答。
这是新功能，以防有人感兴趣：
def draw_voxel_grid_cells(voxel_grid):
# Array for the points with the shape of the total number of points needed to define for drawing all the lines of the grid
points = np.zeros((((voxel_grid.nbr_cells_z+1)*(voxel_grid.nbr_cells_y+1) + (voxel_grid.nbr_cells_z+1)*(voxel_grid.nbr_cells_x+1) + (voxel_grid.nbr_cells_y+1)*(voxel_grid.nbr_cells_x+1))*2, 3))
i = 0
# Drawing lines parallel to x axis
for z_step in range(voxel_grid.nbr_cells_z+1):
for y_step in range(voxel_grid.nbr_cells_y+1):
points[i,:] = [voxel_grid.min_grid_x, voxel_grid.min_grid_y+(voxel_grid.resolution*y_step), voxel_grid.min_grid_z+(voxel_grid.resolution*z_step)]
points[i+1, :] = [voxel_grid.max_grid_x, voxel_grid.min_grid_y+(voxel_grid.resolution*y_step), voxel_grid.min_grid_z+(voxel_grid.resolution*z_step)]
i += 2
# Drawing lines parallel to y axis
for z_step in range(voxel_grid.nbr_cells_z+1):
for x_step in range(voxel_grid.nbr_cells_x+1):
points[i,:] = [voxel_grid.min_grid_x+(voxel_grid.resolution*x_step), voxel_grid.min_grid_y, voxel_grid.min_grid_z+(voxel_grid.resolution*z_step)]
points[i+1, :] = [voxel_grid.min_grid_x+(voxel_grid.resolution*x_step), voxel_grid.max_grid_y, voxel_grid.min_grid_z+(voxel_grid.resolution*z_step)]
i += 2
# Drawing lines parallel to z axis
for y_step in range(voxel_grid.nbr_cells_y+1):
for x_step in range(voxel_grid.nbr_cells_x+1):
points[i,:] = [voxel_grid.min_grid_x+(voxel_grid.resolution*x_step), voxel_grid.min_grid_y+(voxel_grid.resolution*y_step), voxel_grid.min_grid_z]
points[i+1, :] = [voxel_grid.min_grid_x+(voxel_grid.resolution*x_step), voxel_grid.min_grid_y+(voxel_grid.resolution*y_step), voxel_grid.max_grid_z]
i += 2
connections = np.arange(0, ((voxel_grid.nbr_cells_z+1)*(voxel_grid.nbr_cells_y+1) + (voxel_grid.nbr_cells_z+1)*(voxel_grid.nbr_cells_x+1) + (voxel_grid.nbr_cells_y+1)*(voxel_grid.nbr_cells_x+1))*2)
connections = tuple(connections.reshape(-1,2))
# Plotting -------------------------------------------------
mlab.figure()
pts = mlab.points3d(points[:, 0], points[:, 1], points[:, 2], scale_factor=0.0001, color=(1, 0, 0))
pts.mlab_source.dataset.lines = np.array(connections)
tube = mlab.pipeline.tube(pts, tube_radius=0.001)
tube.filter.radius_factor = 1.
mlab.pipeline.surface(tube, color=(1, 0, 0))
mlab.show()
# ----------------------------------------------------------
return