Files
ceres-solver/examples/slam/pose_graph_2d/plot_results.py
T
Mike Vitus f554681bf2 Add an example for modeling and solving a 2D pose graph SLAM problem.
Change-Id: Ia89b12af7afa33e7b1b9a68d69cf2a0b53416737
2016-08-05 14:22:27 -07:00

46 lines
1.5 KiB
Python
Executable File

#!/usr/bin/python
#
# Plots the results from the 2D pose graph optimization. It will draw a line
# between consecutive vertices. The commandline expects two optional filenames:
#
# ./plot_results.py --initial_poses optional --optimized_poses optional
#
# The files have the following format:
# ID x y yaw_radians
import matplotlib.pyplot as plot
import numpy
import sys
from optparse import OptionParser
parser = OptionParser()
parser.add_option("--initial_poses", dest="initial_poses",
default="", help="The filename that contains the original poses.")
parser.add_option("--optimized_poses", dest="optimized_poses",
default="", help="The filename that contains the optimized poses.")
(options, args) = parser.parse_args()
# Read the original and optimized poses files.
poses_original = None
if options.initial_poses != '':
poses_original = numpy.genfromtxt(options.initial_poses, usecols = (1, 2))
poses_optimized = None
if options.optimized_poses != '':
poses_optimized = numpy.genfromtxt(options.optimized_poses, usecols = (1, 2))
# Plots the results for the specified poses.
plot.figure()
if poses_original is not None:
plot.plot(poses_original[:, 0], poses_original[:, 1], '-', label="Original",
alpha=0.5, color="green")
if poses_optimized is not None:
plot.plot(poses_optimized[:, 0], poses_optimized[:, 1], '-', label="Optimized",
alpha=0.5, color="blue")
plot.axis('equal')
plot.legend()
# Show the plot and wait for the user to close.
plot.show()