本文整理汇总了Python中serializer.Serializer.read_process_covariance方法的典型用法代码示例。如果您正苦于以下问题：Python Serializer.read_process_covariance方法的具体用法？Python Serializer.read_process_covariance怎么用？Python Serializer.read_process_covariance使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类serializer.Serializer的用法示例。
在下文中一共展示了Serializer.read_process_covariance方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from serializer import Serializer [as 别名]
# 或者: from serializer.Serializer import read_process_covariance [as 别名]
def __init__(self, save):
logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.INFO)
if not os.path.isdir("stats"):
os.makedirs("stats")
self.save = save
self.utils = Utils()
logging.info("Loading cartesian coordinates...")
serializer = Serializer()
rave_env = Environment()
f = "stats/model/test.urdf"
rave_env.initializeEnvironment(f)
self.link_dimensions = rave_env.getRobotLinkDimensions()
rave_env.destroy()
self.setup_kinematics(serializer, "stats")
self.process_covariances = []
for logfile in glob.glob("stats" + "/*.log"):
self.process_covariances.append(serializer.read_process_covariance(logfile))
#arr = serializer.deserialize_joint_angles(path="stats", file="state_path1.txt")
#self.plot_state_path(serializer, arr)
#sleep()
self.create_video(serializer, "stats")
logging.info("plotting paths")
try:
self.plot_paths(serializer)
except:
logging.warn("Paths could not be plotted")
logging.info("Reading config")
config = serializer.read_config("config.yaml", path="stats")
#try:
#self.plot_end_effector_paths(serializer, plot_scenery=True, plot_manipulator=True)
#except:
# print "Error. End effector paths could not be plotted"
logging.info("Plotting mean planning times")
self.plot_mean_planning_times(serializer,
dir="stats",
filename="mean_planning_times_per_step*.yaml",
output="mean_planning_times_per_step.pdf")
self.plot_mean_planning_times(serializer,
dir="stats",
filename="mean_planning_times_per_run*.yaml",
output="mean_planning_times_per_run.pdf")
self.plot_particles(serializer, particle_limit=config['particle_plot_limit'])
try:
self.plot_paths(serializer, best_paths=True)
except:
logging.warn("Best_paths could not be plotted")
try:
cart_coords = serializer.load_cartesian_coords(path="stats")
except:
logging.warn("Cartesian_coords could not be plotted")
logging.info("Plotting average distance to goal" )
try:
self.plot_average_dist_to_goal(serializer, cart_coords)
except:
logging.warn("Average distance to goal could not be plotted")
logging.info("plotting mean rewards")
try:
self.plot_mean_rewards(serializer)
except Exception as e:
logging.warn("Mean rewards could not be plotted: " + str(e))
logging.info("Plotting EMD graph...")
try:
self.plot_emd_graph(serializer, cart_coords)
except:
logging.warn("EMD graphs could not be plotted")
logging.info("Plotting histograms...")
try:
self.save_histogram_plots(serializer, cart_coords)
except:
logging.warn("Histograms could not be plotted")