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PathPlanning/Sampling_based_Planning/rrt_3D/plot_util3D.py
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2020-09-06 09:37:53 -07:00

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6.3 KiB
Python

# plotting
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import mpl_toolkits.mplot3d as plt3d
from mpl_toolkits.mplot3d import proj3d
import numpy as np
def CreateSphere(center, r):
u = np.linspace(0, 2 * np.pi, 30)
v = np.linspace(0, np.pi, 30)
x = np.outer(np.cos(u), np.sin(v))
y = np.outer(np.sin(u), np.sin(v))
z = np.outer(np.ones(np.size(u)), np.cos(v))
x, y, z = r * x + center[0], r * y + center[1], r * z + center[2]
return (x, y, z)
def draw_Spheres(ax, balls):
for i in balls:
(xs, ys, zs) = CreateSphere(i[0:3], i[-1])
ax.plot_wireframe(xs, ys, zs, alpha=0.15, color="b")
def draw_block_list(ax, blocks, color=None, alpha=0.15):
'''
drawing the blocks on the graph
'''
v = np.array([[0, 0, 0], [1, 0, 0], [1, 1, 0], [0, 1, 0], [0, 0, 1], [1, 0, 1], [1, 1, 1], [0, 1, 1]],
dtype='float')
f = np.array([[0, 1, 5, 4], [1, 2, 6, 5], [2, 3, 7, 6], [3, 0, 4, 7], [0, 1, 2, 3], [4, 5, 6, 7]])
n = blocks.shape[0]
d = blocks[:, 3:6] - blocks[:, :3]
vl = np.zeros((8 * n, 3))
fl = np.zeros((6 * n, 4), dtype='int64')
for k in range(n):
vl[k * 8:(k + 1) * 8, :] = v * d[k] + blocks[k, :3]
fl[k * 6:(k + 1) * 6, :] = f + k * 8
if type(ax) is Poly3DCollection:
ax.set_verts(vl[fl])
else:
pc = Poly3DCollection(vl[fl], alpha=alpha, linewidths=1, edgecolors='k')
pc.set_facecolor(color)
h = ax.add_collection3d(pc)
return h
def obb_verts(obb):
# 0.017004013061523438 for 1000 iters
ori_body = np.array([[1, 1, 1], [-1, 1, 1], [-1, -1, 1], [1, -1, 1], \
[1, 1, -1], [-1, 1, -1], [-1, -1, -1], [1, -1, -1]])
# P + (ori * E)
ori_body = np.multiply(ori_body, obb.E)
# obb.O is orthornormal basis in {W}, aka rotation matrix in SO(3)
verts = (obb.O @ ori_body.T).T + obb.P
return verts
def draw_obb(ax, OBB, color=None, alpha=0.15):
f = np.array([[0, 1, 5, 4], [1, 2, 6, 5], [2, 3, 7, 6], [3, 0, 4, 7], [0, 1, 2, 3], [4, 5, 6, 7]])
n = OBB.shape[0]
vl = np.zeros((8 * n, 3))
fl = np.zeros((6 * n, 4), dtype='int64')
for k in range(n):
vl[k * 8:(k + 1) * 8, :] = obb_verts(OBB[k])
fl[k * 6:(k + 1) * 6, :] = f + k * 8
if type(ax) is Poly3DCollection:
ax.set_verts(vl[fl])
else:
pc = Poly3DCollection(vl[fl], alpha=alpha, linewidths=1, edgecolors='k')
pc.set_facecolor(color)
h = ax.add_collection3d(pc)
return h
def draw_line(ax, SET, visibility=1, color=None):
if SET != []:
for i in SET:
xs = i[0][0], i[1][0]
ys = i[0][1], i[1][1]
zs = i[0][2], i[1][2]
line = plt3d.art3d.Line3D(xs, ys, zs, alpha=visibility, color=color)
ax.add_line(line)
def visualization(initparams):
if initparams.ind % 100 == 0 or initparams.done:
#----------- list structure
# V = np.array(list(initparams.V))
# E = initparams.E
#----------- end
V = np.array(initparams.V)
# edges = initparams.E
Path = np.array(initparams.Path)
start = initparams.env.start
goal = initparams.env.goal
# edges = E.get_edge()
#----------- list structure
edges = []
for i in initparams.Parent:
edges.append([i,initparams.Parent[i]])
#----------- end
# generate axis objects
ax = plt.subplot(111, projection='3d')
# ax.view_init(elev=0.+ 0.03*initparams.ind/(2*np.pi), azim=90 + 0.03*initparams.ind/(2*np.pi))
# ax.view_init(elev=0., azim=90.)
ax.view_init(elev=65., azim=60.)
# ax.view_init(elev=-8., azim=180)
ax.clear()
# drawing objects
draw_Spheres(ax, initparams.env.balls)
draw_block_list(ax, initparams.env.blocks)
if initparams.env.OBB is not None:
draw_obb(ax, initparams.env.OBB)
draw_block_list(ax, np.array([initparams.env.boundary]), alpha=0)
draw_line(ax, edges, visibility=0.75, color='g')
draw_line(ax, Path, color='r')
# if len(V) > 0:
# ax.scatter3D(V[:, 0], V[:, 1], V[:, 2], s=2, color='g', )
ax.plot(start[0:1], start[1:2], start[2:], 'go', markersize=7, markeredgecolor='k')
ax.plot(goal[0:1], goal[1:2], goal[2:], 'ro', markersize=7, markeredgecolor='k')
# adjust the aspect ratio
ax.dist = 15
set_axes_equal(ax)
make_transparent(ax)
#plt.xlabel('s')
#plt.ylabel('y')
ax.set_axis_off()
plt.pause(0.0001)
def set_axes_equal(ax):
'''Make axes of 3D plot have equal scale so that spheres appear as spheres,
cubes as cubes, etc.. This is one possible solution to Matplotlib's
ax.set_aspect('equal') and ax.axis('equal') not working for 3D.
https://stackoverflow.com/questions/13685386/matplotlib-equal-unit-length-with-equal-aspect-ratio-z-axis-is-not-equal-to
Input
ax: a matplotlib axis, e.g., as output from plt.gca().
'''
x_limits = ax.get_xlim3d()
y_limits = ax.get_ylim3d()
z_limits = ax.get_zlim3d()
x_range = abs(x_limits[1] - x_limits[0])
x_middle = np.mean(x_limits)
y_range = abs(y_limits[1] - y_limits[0])
y_middle = np.mean(y_limits)
z_range = abs(z_limits[1] - z_limits[0])
z_middle = np.mean(z_limits)
# The plot bounding box is a sphere in the sense of the infinity
# norm, hence I call half the max range the plot radius.
plot_radius = 0.5*max([x_range, y_range, z_range])
ax.set_xlim3d([x_middle - plot_radius, x_middle + plot_radius])
ax.set_ylim3d([y_middle - plot_radius, y_middle + plot_radius])
ax.set_zlim3d([z_middle - plot_radius, z_middle + plot_radius])
def make_transparent(ax):
# make the panes transparent
ax.xaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
ax.yaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
ax.zaxis.set_pane_color((1.0, 1.0, 1.0, 0.0))
# make the grid lines transparent
ax.xaxis._axinfo["grid"]['color'] = (1,1,1,0)
ax.yaxis._axinfo["grid"]['color'] = (1,1,1,0)
ax.zaxis._axinfo["grid"]['color'] = (1,1,1,0)
if __name__ == '__main__':
pass