Metadrive: move to a separate process (#30103)

* split bridge into two files

* fix metadrive

* wip

* fix tests too

* separate process

* sepeprate process

* finish moving to another process

* remove spammy output
old-commit-hash: 9d3dbd245a
laptop
Justin Newberry 2 years ago committed by GitHub
parent 586f6acdac
commit 8dcd04e702
  1. 6
      tools/sim/bridge/common.py
  2. 102
      tools/sim/bridge/metadrive/metadrive_bridge.py
  3. 94
      tools/sim/bridge/metadrive/metadrive_process.py
  4. 73
      tools/sim/bridge/metadrive/metadrive_world.py
  5. 2
      tools/sim/lib/simulated_sensors.py

@ -68,7 +68,7 @@ class SimulatorBridge(ABC):
self.world.close()
def run(self, queue, retries=-1):
bridge_p = Process(target=self.bridge_keep_alive, args=(queue, retries), daemon=True)
bridge_p = Process(name="bridge", target=self.bridge_keep_alive, args=(queue, retries))
bridge_p.start()
return bridge_p
@ -96,6 +96,10 @@ Ignition: {self.simulator_state.ignition} Engaged: {self.simulator_state.is_enga
100, self._exit_event))
self.simulated_car_thread.start()
self.simulated_camera_thread = threading.Thread(target=rk_loop, args=(functools.partial(self.simulated_sensors.send_camera_images, self.world),
20, self._exit_event))
self.simulated_camera_thread.start()
# Simulation tends to be slow in the initial steps. This prevents lagging later
for _ in range(20):
self.world.tick()

@ -1,39 +1,50 @@
import numpy as np
from metadrive.component.sensors.rgb_camera import RGBCamera
from metadrive.component.sensors.base_camera import _cuda_enable
from metadrive.component.map.pg_map import MapGenerateMethod
from metadrive.engine.core.engine_core import EngineCore
from metadrive.engine.core.image_buffer import ImageBuffer
from metadrive.envs.metadrive_env import MetaDriveEnv
from metadrive.obs.image_obs import ImageObservation
from panda3d.core import Vec3
from panda3d.core import Vec3, Texture, GraphicsOutput
from openpilot.tools.sim.bridge.common import SimulatorBridge
from openpilot.tools.sim.bridge.metadrive.metadrive_world import MetaDriveWorld
from openpilot.tools.sim.lib.camerad import W, H
def apply_metadrive_patches():
# By default, metadrive won't try to use cuda images unless it's used as a sensor for vehicles, so patch that in
def add_image_sensor_patched(self, name: str, cls, args):
if self.global_config["image_on_cuda"]:# and name == self.global_config["vehicle_config"]["image_source"]:
sensor = cls(*args, self, cuda=True)
else:
sensor = cls(*args, self, cuda=False)
assert isinstance(sensor, ImageBuffer), "This API is for adding image sensor"
self.sensors[name] = sensor
C3_POSITION = Vec3(0, 0, 1)
EngineCore.add_image_sensor = add_image_sensor_patched
class CopyRamRGBCamera(RGBCamera):
"""Camera which copies its content into RAM during the render process, for faster image grabbing."""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.cpu_texture = Texture()
self.buffer.addRenderTexture(self.cpu_texture, GraphicsOutput.RTMCopyRam)
# we aren't going to use the built-in observation stack, so disable it to save time
def observe_patched(self, vehicle):
return self.state
def get_rgb_array_cpu(self):
origin_img = self.cpu_texture
img = np.frombuffer(origin_img.getRamImage().getData(), dtype=np.uint8)
img = img.reshape((origin_img.getYSize(), origin_img.getXSize(), -1))
img = img[:,:,:3] # RGBA to RGB
# img = np.swapaxes(img, 1, 0)
img = img[::-1] # Flip on vertical axis
return img
ImageObservation.observe = observe_patched
def arrive_destination_patch(self, vehicle):
return False
class RGBCameraWide(CopyRamRGBCamera):
def __init__(self, *args, **kwargs):
super(RGBCameraWide, self).__init__(*args, **kwargs)
cam = self.get_cam()
cam.setPos(C3_POSITION)
lens = self.get_lens()
lens.setFov(160)
MetaDriveEnv._is_arrive_destination = arrive_destination_patch
class RGBCameraRoad(CopyRamRGBCamera):
def __init__(self, *args, **kwargs):
super(RGBCameraRoad, self).__init__(*args, **kwargs)
cam = self.get_cam()
cam.setPos(C3_POSITION)
lens = self.get_lens()
lens.setFov(40)
def straight_block(length):
@ -55,7 +66,7 @@ def curve_block(length, angle=45, direction=0):
class MetaDriveBridge(SimulatorBridge):
TICKS_PER_FRAME = 2
TICKS_PER_FRAME = 5
def __init__(self, args):
self.should_render = False
@ -63,30 +74,6 @@ class MetaDriveBridge(SimulatorBridge):
super(MetaDriveBridge, self).__init__(args)
def spawn_world(self):
print("----------------------------------------------------------")
print("---- Spawning Metadrive world, this might take awhile ----")
print("----------------------------------------------------------")
apply_metadrive_patches()
C3_POSITION = Vec3(0, 0, 1)
class RGBCameraWide(RGBCamera):
def __init__(self, *args, **kwargs):
super(RGBCameraWide, self).__init__(*args, **kwargs)
cam = self.get_cam()
cam.setPos(C3_POSITION)
lens = self.get_lens()
lens.setFov(160)
class RGBCameraRoad(RGBCamera):
def __init__(self, *args, **kwargs):
super(RGBCameraRoad, self).__init__(*args, **kwargs)
cam = self.get_cam()
cam.setPos(C3_POSITION)
lens = self.get_lens()
lens.setFov(40)
sensors = {
"rgb_road": (RGBCameraRoad, W, H, )
}
@ -94,8 +81,7 @@ class MetaDriveBridge(SimulatorBridge):
if self.dual_camera:
sensors["rgb_wide"] = (RGBCameraWide, W, H)
env = MetaDriveEnv(
dict(
config = dict(
use_render=self.should_render,
vehicle_config=dict(
enable_reverse=False,
@ -110,23 +96,23 @@ class MetaDriveBridge(SimulatorBridge):
on_continuous_line_done=False,
crash_vehicle_done=False,
crash_object_done=False,
traffic_density=0.0, # traffic is incredibly expensive
map_config=dict(
type=MapGenerateMethod.PG_MAP_FILE,
config=[
None,
straight_block(120),
curve_block(120, 90),
curve_block(240, 90),
straight_block(120),
curve_block(120, 90),
curve_block(240, 90),
straight_block(120),
curve_block(120, 90),
curve_block(240, 90),
straight_block(120),
curve_block(120, 90),
curve_block(240, 90),
]
),
decision_repeat=1,
physics_world_step_size=self.TICKS_PER_FRAME/100
)
)
)
env.reset()
return MetaDriveWorld(env)
return MetaDriveWorld(config)

@ -0,0 +1,94 @@
import math
import numpy as np
from collections import namedtuple
from multiprocessing.connection import Connection
from metadrive.engine.core.engine_core import EngineCore
from metadrive.engine.core.image_buffer import ImageBuffer
from metadrive.envs.metadrive_env import MetaDriveEnv
from metadrive.obs.image_obs import ImageObservation
from openpilot.common.realtime import Ratekeeper
from openpilot.tools.sim.lib.common import vec3
from openpilot.tools.sim.lib.camerad import W, H
metadrive_state = namedtuple("metadrive_state", ["velocity", "position", "bearing", "steering_angle"])
def apply_metadrive_patches():
# By default, metadrive won't try to use cuda images unless it's used as a sensor for vehicles, so patch that in
def add_image_sensor_patched(self, name: str, cls, args):
if self.global_config["image_on_cuda"]:# and name == self.global_config["vehicle_config"]["image_source"]:
sensor = cls(*args, self, cuda=True)
else:
sensor = cls(*args, self, cuda=False)
assert isinstance(sensor, ImageBuffer), "This API is for adding image sensor"
self.sensors[name] = sensor
EngineCore.add_image_sensor = add_image_sensor_patched
# we aren't going to use the built-in observation stack, so disable it to save time
def observe_patched(self, vehicle):
return self.state
ImageObservation.observe = observe_patched
def arrive_destination_patch(self, vehicle):
return False
MetaDriveEnv._is_arrive_destination = arrive_destination_patch
def metadrive_process(dual_camera: bool, config: dict, camera_array, controls_recv: Connection, state_send: Connection, exit_event):
apply_metadrive_patches()
road_image = np.frombuffer(camera_array.get_obj(), dtype=np.uint8).reshape((H, W, 3))
env = MetaDriveEnv(config)
env.reset()
def get_cam_as_rgb(cam):
cam = env.engine.sensors[cam]
img = cam.perceive(env.vehicle, clip=False)
if type(img) != np.ndarray:
img = img.get() # convert cupy array to numpy
return img
rk = Ratekeeper(100, None)
steer_ratio = 15
vc = [0,0]
while not exit_event.is_set():
state = metadrive_state(
velocity=vec3(x=float(env.vehicle.velocity[0]), y=float(env.vehicle.velocity[1]), z=0),
position=env.vehicle.position,
bearing=float(math.degrees(env.vehicle.heading_theta)),
steering_angle=env.vehicle.steering * env.vehicle.MAX_STEERING
)
state_send.send(state)
if controls_recv.poll(0):
while controls_recv.poll(0):
steer_angle, gas, reset = controls_recv.recv()
steer_metadrive = steer_angle * 1 / (env.vehicle.MAX_STEERING * steer_ratio)
steer_metadrive = np.clip(steer_metadrive, -1, 1)
vc = [steer_metadrive, gas]
if reset:
env.reset()
if rk.frame % 5 == 0:
obs, _, terminated, _, info = env.step(vc)
if terminated:
env.reset()
#if dual_camera:
# wide_road_image = get_cam_as_rgb("rgb_wide")
road_image[...] = get_cam_as_rgb("rgb_road")
rk.keep_time()

@ -1,35 +1,45 @@
import math
import ctypes
import functools
import multiprocessing
import numpy as np
import time
from openpilot.tools.sim.lib.common import SimulatorState, World, vec3
from multiprocessing import Pipe, Array
from openpilot.tools.sim.bridge.metadrive.metadrive_process import metadrive_process, metadrive_state
from openpilot.tools.sim.lib.common import SimulatorState, World
from openpilot.tools.sim.lib.camerad import W, H
class MetaDriveWorld(World):
def __init__(self, env, dual_camera = False):
def __init__(self, config, dual_camera = False):
super().__init__(dual_camera)
self.env = env
self.dual_camera = dual_camera
self.camera_array = Array(ctypes.c_uint8, W*H*3)
self.road_image = np.frombuffer(self.camera_array.get_obj(), dtype=np.uint8).reshape((H, W, 3))
self.steer_ratio = 15
self.controls_send, self.controls_recv = Pipe()
self.state_send, self.state_recv = Pipe()
self.vc = [0.0,0.0]
self.exit_event = multiprocessing.Event()
self.reset_time = 0
self.metadrive_process = multiprocessing.Process(name="metadrive process", target=
functools.partial(metadrive_process, dual_camera, config,
self.camera_array, self.controls_recv, self.state_send, self.exit_event))
self.metadrive_process.start()
def get_cam_as_rgb(self, cam):
cam = self.env.engine.sensors[cam]
img = cam.perceive(self.env.vehicle, clip=False)
if type(img) != np.ndarray:
img = img.get() # convert cupy array to numpy
return img
print("----------------------------------------------------------")
print("---- Spawning Metadrive world, this might take awhile ----")
print("----------------------------------------------------------")
def apply_controls(self, steer_angle, throttle_out, brake_out):
steer_metadrive = steer_angle * 1 / (self.env.vehicle.MAX_STEERING * self.steer_ratio)
steer_metadrive = np.clip(steer_metadrive, -1, 1)
self.state_recv.recv() # wait for a state message to ensure metadrive is launched
self.steer_ratio = 15
self.vc = [0.0,0.0]
self.reset_time = 0
self.should_reset = False
def apply_controls(self, steer_angle, throttle_out, brake_out):
if (time.monotonic() - self.reset_time) > 5:
self.vc[0] = steer_metadrive
self.vc[0] = steer_angle
if throttle_out:
self.vc[1] = throttle_out/10
@ -39,27 +49,26 @@ class MetaDriveWorld(World):
self.vc[0] = 0
self.vc[1] = 0
self.controls_send.send([*self.vc, self.should_reset])
def read_sensors(self, state: SimulatorState):
state.velocity = vec3(x=float(self.env.vehicle.velocity[0]), y=float(self.env.vehicle.velocity[1]), z=0)
state.gps.from_xy(self.env.vehicle.position)
state.bearing = float(math.degrees(self.env.vehicle.heading_theta))
state.steering_angle = self.env.vehicle.steering * self.env.vehicle.MAX_STEERING
while self.state_recv.poll(0):
md_state: metadrive_state = self.state_recv.recv()
state.velocity = md_state.velocity
state.bearing = md_state.bearing
state.steering_angle = md_state.steering_angle
state.gps.from_xy(md_state.position)
state.valid = True
def read_cameras(self):
if self.dual_camera:
self.wide_road_image = self.get_cam_as_rgb("rgb_wide")
self.road_image = self.get_cam_as_rgb("rgb_road")
pass
def tick(self):
obs, _, terminated, _, info = self.env.step(self.vc)
if terminated:
self.reset()
pass
def reset(self):
self.env.reset()
self.reset_time = time.monotonic()
self.should_reset = True
def close(self):
pass
self.exit_event.set()
self.metadrive_process.join()

@ -123,5 +123,3 @@ class SimulatedSensors:
if (now - self.last_perp_update) > 0.25:
self.send_peripheral_state()
self.last_perp_update = now
self.send_camera_images(world)
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