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visualize_gen.py
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224 lines (190 loc) · 8.36 KB
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#!/usr/bin/env python3
### This is the map/plan viewer for the MAPF instance generator project
import random
import yaml
import matplotlib
# matplotlib.use("Agg")
from matplotlib.patches import Circle, Rectangle, Arrow
from matplotlib.collections import PatchCollection
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import animation
import matplotlib.animation as animation
import argparse
import math
# Colors = ['orange'] # , 'blue', 'green']
# Colors = []
# for i in range(10):
# Colors.append((random.random(), random.random(), random.random()))
cmap = plt.get_cmap("tab20")
Colors = cmap.colors
Colors_bright = [[x*0.8 for x in y] for y in Colors]
class Animation:
def __init__(self, config, schedule, map):
self.config = config
self.map = map
self.schedule = schedule
aspect = map["dimensions"][0] / map["dimensions"][1]
self.fig = plt.figure(frameon=False, figsize=(4 * aspect, 4))
self.ax = self.fig.add_subplot(111, aspect='equal')
self.fig.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=None, hspace=None)
# self.ax.set_frame_on(False)
self.patches = []
self.artists = []
self.agents = dict()
self.agent_names = dict()
self.lines_x = []
self.lines_y = []
self.line_color = []
# create boundary patch
xmin = -0.5
ymin = -0.5
xmax = map["dimensions"][0] - 0.5
ymax = map["dimensions"][1] - 0.5
n_agents = len(config["agents"])
# self.ax.relim()
plt.xlim(xmin, xmax)
plt.ylim(ymin, ymax)
minor_ticks_x = np.arange(xmin, xmax, 1)
minor_ticks_y = np.arange(ymin, ymax, 1)
self.ax.set_xticks(minor_ticks_x, minor=True)
self.ax.set_yticks(minor_ticks_y, minor=True)
plt.grid(which='minor', axis='both', linewidth=2)
# self.ax.set_xticks([])
# self.ax.set_yticks([])
# plt.axis('off')
# self.ax.axis('tight')
# self.ax.axis('off')
self.patches.append(Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, facecolor='none', edgecolor='red'))
for o in map["obstacles"]:
x, y = o[0], o[1]
self.patches.append(Rectangle((x - .5, y - 0.5), 1, 1, facecolor='red', edgecolor='red'))
# create agents:
self.T = 0
# draw goals first
for d, i in zip(config["agents"], range(0, len(config["agents"]))):
name = d["name"]
if "goal" in d:
goals = [d["goal"]]
if "potentialGoals" in d:
goals = [goal for goal in d["potentialGoals"]]
for goal in goals:
self.patches.append(
Rectangle((goal[0] - 0.25, goal[1] - 0.25), 0.5, 0.5, facecolor=Colors[i % len(Colors)],
edgecolor='black', alpha=0.5))
self.agent_names[name] = self.ax.text(d["goal"][0], d["goal"][1], name.replace('agent', ''))
self.agent_names[name].set_horizontalalignment('center')
self.agent_names[name].set_verticalalignment('center')
self.artists.append(self.agent_names[name])
for d, i in zip(config["agents"], range(0, len(config["agents"]))):
name = d["name"]
self.agents[name] = Circle((d["start"][0], d["start"][1]), 0.3, facecolor=Colors[i % len(Colors)],
edgecolor=Colors_bright[i % len(Colors)], linewidth=4)
self.agents[name].original_face_color = Colors[i % len(Colors)]
self.line_color.append(Colors[i % len(Colors)])
self.patches.append(self.agents[name])
self.T = max(self.T, schedule["schedule"][name][-1]["t"])
self.agent_names[name] = self.ax.text(d["start"][0], d["start"][1], name.replace('agent', ''))
self.agent_names[name].set_horizontalalignment('center')
self.agent_names[name].set_verticalalignment('center')
self.artists.append(self.agent_names[name])
xs = []
ys = []
sch = schedule["schedule"][name]
for j in range(0, len(sch)):
xs.append(sch[j]["x"])
ys.append(sch[j]["y"])
self.lines_x.append(xs)
self.lines_y.append(ys)
# self.ax.set_axis_off()
# self.fig.axes[0].set_visible(False)
# self.fig.axes.get_yaxis().set_visible(False)
# self.fig.tight_layout()
self.anim = animation.FuncAnimation(self.fig, self.animate_func,
init_func=self.init_func,
frames=int(self.T + 1) * 10,
interval=100,
blit=True)
def save(self, file_name, speed):
self.anim.save(
file_name,
"ffmpeg",
fps=10 * speed,
dpi=200),
# savefig_kwargs={"pad_inches": 0, "bbox_inches": "tight"})
def show(self):
plt.show()
def init_func(self):
for p in self.patches:
self.ax.add_patch(p)
for a in self.artists:
self.ax.add_artist(a)
for i in range(0, len(self.line_color)):
plt.plot(self.lines_x[i], self.lines_y[i], color=self.line_color[i], linewidth=2)
return self.patches + self.artists
def animate_func(self, i):
for agent_name in self.schedule["schedule"]:
agent = schedule["schedule"][agent_name]
pos = self.getState(i / 10, agent)
# pos = self.getState(i, agent)
p = (pos[0], pos[1])
# self.agents[agent_name].center = p
if isinstance(self.agents[agent_name], Circle):
self.agents[agent_name].center = p
else:
self.agents[agent_name].set_xy((p[0]-.25, p[1]-.25))
self.agent_names[agent_name].set_position(p)
# reset all colors
for _, agent in self.agents.items():
agent.set_facecolor(agent.original_face_color)
# check drive-drive collisions
# agents_array = [agent for _, agent in self.agents.items()]
# for i in range(0, len(agents_array)):
# for j in range(i + 1, len(agents_array)):
# d1 = agents_array[i]
# d2 = agents_array[j]
# pos1 = np.array(d1.center)
# pos2 = np.array(d2.center)
# if np.linalg.norm(pos1 - pos2) < 0.7:
# d1.set_facecolor('red')
# d2.set_facecolor('red')
# print("COLLISION! (agent-agent) ({}, {})".format(i, j))
return self.patches + self.artists
def getState(self, t, d):
idx = 0
while idx < len(d) and d[idx]["t"] < t:
idx += 1
if idx == 0:
return np.array([float(d[0]["x"]), float(d[0]["y"])])
elif idx < len(d):
posLast = np.array([float(d[idx - 1]["x"]), float(d[idx - 1]["y"])])
posNext = np.array([float(d[idx]["x"]), float(d[idx]["y"])])
else:
return np.array([float(d[-1]["x"]), float(d[-1]["y"])])
dt = d[idx]["t"] - d[idx - 1]["t"]
t = (t - d[idx - 1]["t"]) / dt
pos = (posNext - posLast) * t + posLast
return pos
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("config", help="configuration for agents")
parser.add_argument("schedule", help="schedule for agents")
parser.add_argument('--video', dest='video', default=None,
help="output video file (or leave empty to show on screen)")
parser.add_argument("--speed", type=int, default=1, help="speedup-factor")
args = parser.parse_args()
with open(args.config) as config_file:
config = yaml.load(config_file, Loader=yaml.FullLoader)
with open(args.schedule) as states_file:
schedule = yaml.load(states_file, Loader=yaml.FullLoader)
with open(config["map_path"]) as map_file:
map_config = yaml.load(map_file, Loader=yaml.FullLoader)
cost = 0
for i in range(0, len(schedule["schedule"])):
cost += schedule["schedule"]["agent" + str(i)][-1]["t"]
print(f"Total cost is: {cost}")
animation = Animation(config, schedule, map_config)
if args.video:
animation.save(args.video, args.speed)
else:
animation.show()