RoboWaiter/robowaiter/proto/semantic_map.py

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2023-11-15 15:11:01 +08:00
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# enconding = utf8
import sys
import time
import grpc
# import camera
from robowaiter.proto import camera
sys.path.append('./')
sys.path.append('../')
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
import GrabSim_pb2_grpc
import GrabSim_pb2
channel = grpc.insecure_channel('localhost:30001', options=[
('grpc.max_send_message_length', 1024 * 1024 * 1024),
('grpc.max_receive_message_length', 1024 * 1024 * 1024)
])
sim_client = GrabSim_pb2_grpc.GrabSimStub(channel)
'''
初始化卸载已经加载的关卡清除所有机器人
'''
def Init():
sim_client.Init(GrabSim_pb2.NUL())
'''
获取当前可加载的地图信息(地图名字地图尺寸)
'''
def AcquireAvailableMaps():
AvailableMaps = sim_client.AcquireAvailableMaps(GrabSim_pb2.NUL())
print(AvailableMaps)
'''
1根据mapID加载指定地图
2如果scene_num>1,则根据地图尺寸偏移后加载多个相同地图
3这样就可以在一个关卡中训练多个地图
'''
def SetWorld(map_id=0, scene_num=1):
print('------------------SetWorld----------------------')
world = sim_client.SetWorld(GrabSim_pb2.BatchMap(count=scene_num, mapID=map_id))
'''
返回场景的状态信息
1返回机器人的位置和旋转
2返回各个关节的名字和旋转
3返回场景中标记的物品信息(名字类型位置旋转)
4返回场景中行人的信息(名字位置旋转速度)
5返回机器人手指和双臂的碰撞信息
'''
def Observe(scene_id=0):
print('------------------show_env_info----------------------')
scene = sim_client.Observe(GrabSim_pb2.SceneID(value=scene_id))
print(
f"location:{[scene.location]}, rotation:{scene.rotation}\n",
f"joints number:{len(scene.joints)}, fingers number:{len(scene.fingers)}\n",
f"objects number: {len(scene.objects)}, walkers number: {len(scene.walkers)}\n"
f"timestep:{scene.timestep}, timestamp:{scene.timestamp}\n"
f"collision:{scene.collision}, info:{scene.info}")
'''
重置场景
1重置桌子的宽度和高度
2清除生成的行人和物品
3重置关节角度位置旋转
4清除碰撞信息
5重置场景中标记的物品
'''
def Reset(scene_id=0):
print('------------------Reset----------------------')
scene = sim_client.Reset(GrabSim_pb2.ResetParams(scene=scene_id))
print(scene)
# 如果场景支持调整桌子
# sim_client.Reset(GrabSim_pb2.ResetParams(scene = scene_id, adjust = True, height = 100.0, width = 100.0))"
"""
导航移动
yaw:机器人朝向;
velocity:速度,>0代表移动,<0代表瞬移,=0代表只查询;
dis:最终达到的位置距离目标点最远距离,如果超过此距离则目标位置不可达
"""
def navigation_move(cur_objs, scene_id=0, map_id=0):
print('------------------navigation_move----------------------')
scene = sim_client.Observe(GrabSim_pb2.SceneID(value=scene_id))
walk_value = [scene.location.X, scene.location.Y, scene.rotation.Yaw]
print("position:", walk_value)
objs_name_set = set()
if map_id == 11: # coffee
v_list = [[247,520], [247, 700], [270, 1100], [55, 940], [30, 900], [30, 520], [160, -165], [247, 0],[247, 520]]
else:
v_list = [[0.0, 0.0]]
for walk_v in v_list:
walk_v = walk_v + [scene.rotation.Yaw - 90, 200, 10]
print("walk_v", walk_v)
action = GrabSim_pb2.Action(scene=scene_id, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v)
scene = sim_client.Do(action)
cur_objs, objs_name_set = camera.get_semantic_map(GrabSim_pb2.CameraName.Head_Segment, cur_objs, objs_name_set)
print(scene.info)
return cur_objs
if __name__ == '__main__':
map_id = 11 # 地图编号
scene_num = 1 # 场景数量
cur_objs = []
print('------------ 初始化加载场景 ------------')
Init()
AcquireAvailableMaps()
SetWorld(map_id, scene_num)
time.sleep(5.0)
for i in range(scene_num):
print('------------ 场景操作 ------------')
Observe(i)
Reset(i)
print('------------ 导航移动 ------------')
cur_objs = navigation_move(cur_objs, i, map_id)
print(cur_objs)