haixuantao commited on
Commit
c3afd26
·
1 Parent(s): c641eb7

Simplify planning

Browse files
Files changed (2) hide show
  1. operators/planning_op.py +32 -46
  2. operators/policy.py +13 -19
operators/planning_op.py CHANGED
@@ -3,10 +3,6 @@ import numpy as np
3
  import pyarrow as pa
4
  from dora import DoraStatus
5
 
6
- GOAL = np.array([10, 20])
7
-
8
- HOME_TO_KITCHEN = np.array([[0.5, 0], [0.5, -5.0], [1.0, 7.0]])
9
- KITCHEN_TO_HOME = np.array([[2.0, 0.0], [0.0, 0.0]])
10
 
11
  CAMERA_WIDTH = 960
12
  CAMERA_HEIGHT = 540
@@ -89,12 +85,9 @@ class Operator:
89
  dora_event: dict,
90
  send_output,
91
  ) -> DoraStatus:
92
- global POSITION_GOAL, GIMBAL_GOAL
93
  if dora_event["type"] == "INPUT":
94
  id = dora_event["id"]
95
- if id == "tick":
96
- self.time = time.time()
97
- elif id == "image":
98
  value = dora_event["value"].to_numpy()
99
 
100
  self.image = value.reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3))
@@ -108,6 +101,7 @@ class Operator:
108
  if len(dora_event["value"]) > 0:
109
  self.waypoints = dora_event["value"].to_numpy().reshape((-1, 2))
110
  elif id == "position":
 
111
  ## No bounding box yet
112
  if self.waypoints is None:
113
  print("no waypoint", flush=True)
@@ -122,7 +116,7 @@ class Operator:
122
  # Remove waypoints if completed
123
  if (
124
  len(self.waypoints) > 0
125
- and np.linalg.norm(self.waypoints[0] - [x, y]) < 0.2
126
  ):
127
  self.waypoints = self.waypoints[1:]
128
  print("removing waypoints", flush=True)
@@ -134,7 +128,7 @@ class Operator:
134
 
135
  z = np.deg2rad(z)
136
  self.tf = np.array([[np.cos(z), -np.sin(z)], [np.sin(z), np.cos(z)]])
137
- goal = self.tf.dot(self.waypoints[0])
138
  goal_camera_x = (
139
  CAMERA_WIDTH * np.arctan2(goal[1], goal[0]) / np.pi
140
  ) + CAMERA_WIDTH / 2
@@ -155,41 +149,33 @@ class Operator:
155
  flush=True,
156
  )
157
 
158
- if True: # check_clear_road(self.bboxs, CAMERA_WIDTH, goal_camera_x):
159
- self.count += 1
160
- self.completed = False
161
- send_output(
162
- "control",
163
- pa.array(
164
- [
165
- {
166
- "action": "gimbal",
167
- "value": [0.0, goal_angle],
168
- "count": self.count,
169
- },
170
- # {
171
- # "value": [
172
- # 0.0,
173
- # 0.0,
174
- # -goal_angle,
175
- # 0.0,
176
- # 50,
177
- # ],
178
- # "action": "control",
179
- # },
180
- {
181
- "value": [
182
- self.waypoints[0][0],
183
- self.waypoints[0][1],
184
- 0.0, # -goal_angle,
185
- 0.6,
186
- 0.0, # 50,
187
- ],
188
- "action": "control",
189
- },
190
- ]
191
- ),
192
- dora_event["metadata"],
193
- )
194
 
195
  return DoraStatus.CONTINUE
 
3
  import pyarrow as pa
4
  from dora import DoraStatus
5
 
 
 
 
 
6
 
7
  CAMERA_WIDTH = 960
8
  CAMERA_HEIGHT = 540
 
85
  dora_event: dict,
86
  send_output,
87
  ) -> DoraStatus:
 
88
  if dora_event["type"] == "INPUT":
89
  id = dora_event["id"]
90
+ if id == "image":
 
 
91
  value = dora_event["value"].to_numpy()
92
 
93
  self.image = value.reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3))
 
101
  if len(dora_event["value"]) > 0:
102
  self.waypoints = dora_event["value"].to_numpy().reshape((-1, 2))
103
  elif id == "position":
104
+ print("got position:", dora_event["value"], flush=True)
105
  ## No bounding box yet
106
  if self.waypoints is None:
107
  print("no waypoint", flush=True)
 
116
  # Remove waypoints if completed
117
  if (
118
  len(self.waypoints) > 0
119
+ and np.linalg.norm(self.waypoints[0] - [x, y]) < 0.1
120
  ):
121
  self.waypoints = self.waypoints[1:]
122
  print("removing waypoints", flush=True)
 
128
 
129
  z = np.deg2rad(z)
130
  self.tf = np.array([[np.cos(z), -np.sin(z)], [np.sin(z), np.cos(z)]])
131
+ goal = self.tf.dot(self.waypoints[0] - np.array([x, y]))
132
  goal_camera_x = (
133
  CAMERA_WIDTH * np.arctan2(goal[1], goal[0]) / np.pi
134
  ) + CAMERA_WIDTH / 2
 
149
  flush=True,
150
  )
151
 
152
+ self.count += 1
153
+ self.completed = False
154
+
155
+ message = pa.array(
156
+ [
157
+ {
158
+ "action": "gimbal",
159
+ "value": [0.0, goal_angle],
160
+ "count": self.count,
161
+ },
162
+ {
163
+ "value": [
164
+ self.waypoints[0][0] - x,
165
+ self.waypoints[0][1] - y,
166
+ 0.0, # -goal_angle,
167
+ 0.6,
168
+ 0.0, # 50,
169
+ ],
170
+ "action": "control",
171
+ },
172
+ ]
173
+ )
174
+ print("sending:", message, flush=True)
175
+ send_output(
176
+ "control",
177
+ message,
178
+ dora_event["metadata"],
179
+ )
 
 
 
 
 
 
 
 
180
 
181
  return DoraStatus.CONTINUE
operators/policy.py CHANGED
@@ -2,10 +2,10 @@ import numpy as np
2
  import pyarrow as pa
3
  from dora import DoraStatus
4
  from utils import ask_vlm, speak
 
5
 
6
- COUCH = np.array([[0.5, 0], [0.5, 0.5]]).ravel()
7
- KITCHEN = np.array([[0.5, 0.0], [1.0, -1.0]]).ravel()
8
- HOME = np.array([[0.5, 0.0], [0.0, 0.0]]).ravel()
9
 
10
 
11
  ## Policy Operator
@@ -17,21 +17,15 @@ class Operator:
17
  text = ask_vlm(image, text)
18
  return "Yes, " in text
19
 
20
- def on_event(self, dora_event: dict, send_output) -> DoraStatus:
21
- if dora_event["type"] == "INPUT":
22
- id = dora_event["id"]
23
  if id == "init":
24
- send_output("go_to", pa.array(COUCH))
25
- elif id == "goal_reached":
26
- print("goal reached", flush=True)
27
- image = dora_event["value"].to_numpy().reshape((540, 960, 3))
28
- if self.ask_model(image, "Is there anyone with a bruise shirt?"):
29
- self.speak("I'm gonna go get coffee.")
30
- send_output("go_to", pa.array(KITCHEN))
31
- self.speak("I'm going to the kitchen.")
32
- else:
33
- self.speak("There's no one with a bruise shirt.")
34
- send_output("go_to", pa.array(COUCH))
35
- self.speak("I'm going to the couch.")
36
-
37
  return DoraStatus.CONTINUE
 
2
  import pyarrow as pa
3
  from dora import DoraStatus
4
  from utils import ask_vlm, speak
5
+ from time import sleep
6
 
7
+ LIVING_ROOM = np.array([[1.0, 0.0]]).ravel()
8
+ KITCHEN = np.array([[0.0, -0.2], [-1.0, -0.3], [-2.0, -0.5]]).ravel()
 
9
 
10
 
11
  ## Policy Operator
 
17
  text = ask_vlm(image, text)
18
  return "Yes, " in text
19
 
20
+ def on_event(self, event: dict, send_output) -> DoraStatus:
21
+ if event["type"] == "INPUT":
22
+ id = event["id"]
23
  if id == "init":
24
+ send_output("go_to", pa.array([]))
25
+ elif id == "reached_living_room":
26
+ image = event["value"].to_numpy().reshape((540, 960, 3))
27
+ pass
28
+ elif id == "reached_kitchen":
29
+ image = event["value"].to_numpy().reshape((540, 960, 3))
30
+ pass
 
 
 
 
 
 
31
  return DoraStatus.CONTINUE