forked from luigifreda/pyslam
-
Notifications
You must be signed in to change notification settings - Fork 0
/
mplot3d.py
98 lines (89 loc) · 3.52 KB
/
mplot3d.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
"""
* This file is part of PYSLAM
*
* Copyright (C) 2016-present Luigi Freda <luigi dot freda at gmail dot com>
*
* PYSLAM is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* PYSLAM is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with PYSLAM. If not, see <http://www.gnu.org/licenses/>.
"""
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits import mplot3d
# use mplotlib figure to draw in 3D trajectories
kPlotSleep = 0.0001
class Mplot3d:
def __init__(self, title=''):
self.fig = plt.figure()
self.ax = self.fig.gca(projection='3d')
if title is not '':
self.ax.set_title(title)
self.ax.set_xlabel('X axis')
self.ax.set_ylabel('Y axis')
self.ax.set_zlabel('Z axis')
self.axis_computed = False
self.xlim = [float("inf"),float("-inf")]
self.ylim = [float("inf"),float("-inf")]
self.zlim = [float("inf"),float("-inf")]
self.handle_map = {}
self.setAxis()
def setAxis(self):
self.ax.axis('equal')
if self.axis_computed:
self.ax.set_xlim(self.xlim)
self.ax.set_ylim(self.ylim)
self.ax.set_zlim(self.zlim)
self.ax.legend()
def drawTraj(self, traj, name, color='r', marker='.'):
np_traj = np.asarray(traj)
if name in self.handle_map:
handle = self.handle_map[name]
self.ax.collections.remove(handle)
self.updateMinMax(np_traj)
handle = self.ax.scatter3D(np_traj[:, 0], np_traj[:, 1], np_traj[:, 2], c=color, marker=marker)
handle.set_label(name)
self.handle_map[name] = handle
def updateMinMax(self, np_traj):
xmax,ymax,zmax = np.amax(np_traj,axis=0)
xmin,ymin,zmin = np.amin(np_traj,axis=0)
cx = 0.5*(xmax+xmin)
cy = 0.5*(ymax+ymin)
cz = 0.5*(zmax+zmin)
if False:
# update maxs
if xmax > self.xlim[1]:
self.xlim[1] = xmax
if ymax > self.ylim[1]:
self.ylim[1] = ymax
if zmax > self.zlim[1]:
self.zlim[1] = zmax
# update mins
if xmin < self.xlim[0]:
self.xlim[0] = xmin
if ymin < self.ylim[0]:
self.ylim[0] = ymin
if zmin < self.zlim[0]:
self.zlim[0] = zmin
# make axis actually squared
if True:
#smin = min(self.xlim[0],self.ylim[0],self.zlim[0])
#smax = max(self.xlim[1],self.ylim[1],self.zlim[1])
smin = min(xmin,ymin,zmin)
smax = max(xmax,ymax,zmax)
delta = 0.5*(smax - smin)
self.xlim = [cx-delta,cx+delta]
self.ylim = [cy-delta,cy+delta]
self.zlim = [cz-delta,cz+delta]
self.axis_computed = True
def refresh(self):
self.setAxis()
plt.pause(kPlotSleep)