检索模拟数据

  -h, --help            show this help message and exit
  --host H              IP of the host Carla Simulator (default: localhost)
  -p P, --port P        TCP port of Carla Simulator (default: 2000)
  -d, --default         set default settings
  -m MAP, --map MAP     load a new map, use --list to see available maps
  -r, --reload-map      reload current map
  --delta-seconds S     set fixed delta seconds, zero for variable frame rate
  --fps N               set fixed FPS, zero for variable FPS (similar to
                        --delta-seconds)
  --rendering           enable rendering
  --no-rendering        disable rendering
  --no-sync             disable synchronous mode
  --weather WEATHER     set weather preset, use --list to see available
                        presets
  -i, --inspect         inspect simulation
  -l, --list            list available options
  -b FILTER, --list-blueprints FILTER
                        list available blueprints matching FILTER (use '*' to
                        list them all)
  -x XODR_FILE_PATH, --xodr-path XODR_FILE_PATH
                        load a new map with a minimum physical road
                        representation of the provided OpenDRIVE

  -h, --help            show this help message and exit
  --host H              IP of the host server (default: 127.0.0.1)
  -p P, --port P        TCP port to listen to (default: 2000)
  --sun SUN             Sun position presets [sunset | day | night]
  --weather WEATHER     Weather condition presets [clear | overcast | rain]
  --altitude A, -alt A  Sun altitude [-90.0, 90.0]
  --azimuth A, -azm A   Sun azimuth [0.0, 360.0]
  --clouds C, -c C      Clouds amount [0.0, 100.0]
  --rain R, -r R        Rain amount [0.0, 100.0]
  --puddles Pd, -pd Pd  Puddles amount [0.0, 100.0]
  --wind W, -w W        Wind intensity [0.0, 100.0]
  --fog F, -f F         Fog intensity [0.0, 100.0]
  --fogdist Fd, -fd Fd  Fog Distance [0.0, inf)
  --wetness Wet, -wet Wet
                        Wetness intensity [0.0, 100.0]

  -h, --help            show this help message and exit
  --host H              IP of the host server (default: 127.0.0.1)
  -p P, --port P        TCP port to listen to (default: 2000)
  -n N, --number-of-vehicles N
                        number of vehicles (default: 10)
  -w W, --number-of-walkers W
                        number of walkers (default: 50)
  --safe                avoid spawning vehicles prone to accidents
  --filterv PATTERN     vehicles filter (default: "vehicle.*")
  --filterw PATTERN     pedestrians filter (default: "walker.pedestrian.*")
  -tm_p P, --tm-port P  port to communicate with TM (default: 8000)
  --async               Asynchronous mode execution

  -h, --help           show this help message and exit
  -v, --verbose        print debug information
  --host H             IP of the host server (default: 127.0.0.1)
  -p P, --port P       TCP port to listen to (default: 2000)
  --res WIDTHxHEIGHT   window resolution (default: 1280x720)
  --filter PATTERN     actor filter (default: "vehicle.*")
  --map TOWN           start a new episode at the given TOWN
  --no-rendering       switch off server rendering
  --show-triggers      show trigger boxes of traffic signs
  --show-connections   show waypoint connections
  --show-spawn-points  show recommended spawn points

import glob
import os
import sys
import time

try:
    sys.path.append(glob.glob('../carla/dist/carla-*%d.%d-%s.egg' % (
        sys.version_info.major,
        sys.version_info.minor,
        'win-amd64' if os.name == 'nt' else 'linux-x86_64'))[0])
except IndexError:
    pass

import carla

import argparse
import logging
import random


def main():
    argparser = argparse.ArgumentParser(
        description=__doc__)
    argparser.add_argument(
        '--host',
        metavar='H',
        default='127.0.0.1',
        help='IP of the host server (default: 127.0.0.1)')
    argparser.add_argument(
        '-p', '--port',
        metavar='P',
        default=2000,
        type=int,
        help='TCP port to listen to (default: 2000)')
    args = argparser.parse_args()

    logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.INFO)

    client = carla.Client(args.host, args.port)
    client.set_timeout(10.0)

    try:

        world = client.get_world()
        ego_vehicle = None
        ego_cam = None
        ego_col = None
        ego_lane = None
        ego_obs = None
        ego_gnss = None
        ego_imu = None

        # --------------
        # Start recording
        # --------------
        """
        client.start_recorder('~/tutorial/recorder/recording01.log')
        """

        # --------------
        # Spawn ego vehicle
        # --------------
        """
        ego_bp = world.get_blueprint_library().find('vehicle.tesla.model3')
        ego_bp.set_attribute('role_name','ego')
        print('\nEgo role_name is set')
        ego_color = random.choice(ego_bp.get_attribute('color').recommended_values)
        ego_bp.set_attribute('color',ego_color)
        print('\nEgo color is set')

        spawn_points = world.get_map().get_spawn_points()
        number_of_spawn_points = len(spawn_points)

        if 0 < number_of_spawn_points:
            random.shuffle(spawn_points)
            ego_transform = spawn_points[0]
            ego_vehicle = world.spawn_actor(ego_bp,ego_transform)
            print('\nEgo is spawned')
        else: 
            logging.warning('Could not found any spawn points')
        """

        # --------------
        # Add a RGB camera sensor to ego vehicle. 
        # --------------
        """
        cam_bp = None
        cam_bp = world.get_blueprint_library().find('sensor.camera.rgb')
        cam_bp.set_attribute("image_size_x",str(1920))
        cam_bp.set_attribute("image_size_y",str(1080))
        cam_bp.set_attribute("fov",str(105))
        cam_location = carla.Location(2,0,1)
        cam_rotation = carla.Rotation(0,180,0)
        cam_transform = carla.Transform(cam_location,cam_rotation)
        ego_cam = world.spawn_actor(cam_bp,cam_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        ego_cam.listen(lambda image: image.save_to_disk('~/tutorial/output/%.6d.jpg' % image.frame))
        """

        # --------------
        # Add collision sensor to ego vehicle. 
        # --------------
        """
        col_bp = world.get_blueprint_library().find('sensor.other.collision')
        col_location = carla.Location(0,0,0)
        col_rotation = carla.Rotation(0,0,0)
        col_transform = carla.Transform(col_location,col_rotation)
        ego_col = world.spawn_actor(col_bp,col_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        def col_callback(colli):
            print("Collision detected:\n"+str(colli)+'\n')
        ego_col.listen(lambda colli: col_callback(colli))
        """

        # --------------
        # Add Lane invasion sensor to ego vehicle. 
        # --------------
        """
        lane_bp = world.get_blueprint_library().find('sensor.other.lane_invasion')
        lane_location = carla.Location(0,0,0)
        lane_rotation = carla.Rotation(0,0,0)
        lane_transform = carla.Transform(lane_location,lane_rotation)
        ego_lane = world.spawn_actor(lane_bp,lane_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        def lane_callback(lane):
            print("Lane invasion detected:\n"+str(lane)+'\n')
        ego_lane.listen(lambda lane: lane_callback(lane))
        """

        # --------------
        # Add Obstacle sensor to ego vehicle. 
        # --------------
        """
        obs_bp = world.get_blueprint_library().find('sensor.other.obstacle')
        obs_bp.set_attribute("only_dynamics",str(True))
        obs_location = carla.Location(0,0,0)
        obs_rotation = carla.Rotation(0,0,0)
        obs_transform = carla.Transform(obs_location,obs_rotation)
        ego_obs = world.spawn_actor(obs_bp,obs_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        def obs_callback(obs):
            print("Obstacle detected:\n"+str(obs)+'\n')
        ego_obs.listen(lambda obs: obs_callback(obs))
        """

        # --------------
        # 给自我车辆添加全球导航卫星系统传感器
        # --------------
        """
        gnss_bp = world.get_blueprint_library().find('sensor.other.gnss')
        gnss_location = carla.Location(0,0,0)
        gnss_rotation = carla.Rotation(0,0,0)
        gnss_transform = carla.Transform(gnss_location,gnss_rotation)
        gnss_bp.set_attribute("sensor_tick",str(3.0))
        ego_gnss = world.spawn_actor(gnss_bp,gnss_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        def gnss_callback(gnss):
            print("GNSS measure:\n"+str(gnss)+'\n')
        ego_gnss.listen(lambda gnss: gnss_callback(gnss))
        """

        # --------------
        # Add IMU sensor to ego vehicle. 
        # --------------
        """
        imu_bp = world.get_blueprint_library().find('sensor.other.imu')
        imu_location = carla.Location(0,0,0)
        imu_rotation = carla.Rotation(0,0,0)
        imu_transform = carla.Transform(imu_location,imu_rotation)
        imu_bp.set_attribute("sensor_tick",str(3.0))
        ego_imu = world.spawn_actor(imu_bp,imu_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        def imu_callback(imu):
            print("IMU measure:\n"+str(imu)+'\n')
        ego_imu.listen(lambda imu: imu_callback(imu))
        """

        # --------------
        # Place spectator on ego spawning
        # --------------
        """
        spectator = world.get_spectator()
        world_snapshot = world.wait_for_tick() 
        spectator.set_transform(ego_vehicle.get_transform())
        """

        # --------------
        # Enable autopilot for ego vehicle
        # --------------
        """
        ego_vehicle.set_autopilot(True)
        """

        # --------------
        # Game loop. Prevents the script from finishing.
        # --------------
        while True:
            world_snapshot = world.wait_for_tick()

    finally:
        # --------------
        # Stop recording and destroy actors
        # --------------
        client.stop_recorder()
        if ego_vehicle is not None:
            if ego_cam is not None:
                ego_cam.stop()
                ego_cam.destroy()
            if ego_col is not None:
                ego_col.stop()
                ego_col.destroy()
            if ego_lane is not None:
                ego_lane.stop()
                ego_lane.destroy()
            if ego_obs is not None:
                ego_obs.stop()
                ego_obs.destroy()
            if ego_gnss is not None:
                ego_gnss.stop()
                ego_gnss.destroy()
            if ego_imu is not None:
                ego_imu.stop()
                ego_imu.destroy()
            ego_vehicle.destroy()

if __name__ == '__main__':

    try:
        main()
    except KeyboardInterrupt:
        pass
    finally:
        print('\nDone with tutorial_ego.')

import glob
import os
import sys
import time
import math
import weakref

try:
    sys.path.append(glob.glob('../carla/dist/carla-*%d.%d-%s.egg' % (
        sys.version_info.major,
        sys.version_info.minor,
        'win-amd64' if os.name == 'nt' else 'linux-x86_64'))[0])
except IndexError:
    pass

import carla

import argparse
import logging
import random

def main():
    client = carla.Client('127.0.0.1', 2000)
    client.set_timeout(10.0)

    try:

        world = client.get_world() 
        ego_vehicle = None
        ego_cam = None
        depth_cam = None
        depth_cam02 = None
        sem_cam = None
        rad_ego = None
        lidar_sen = None

        # --------------
        # Query the recording
        # --------------
        """
        # Show the most important events in the recording.  
        print(client.show_recorder_file_info("~/tutorial/recorder/recording05.log",False))
        # Show actors not moving 1 meter in 10 seconds.  
        #print(client.show_recorder_actors_blocked("~/tutorial/recorder/recording04.log",10,1))
        # Show collisions between any type of actor.  
        #print(client.show_recorder_collisions("~/tutorial/recorder/recording04.log",'v','a'))
        """

        # --------------
        # Reenact a fragment of the recording
        # --------------
        """
        client.replay_file("~/tutorial/recorder/recording03.log",0,30,0)
        """

        # --------------
        # Set playback simulation conditions
        # --------------
        """
        ego_vehicle = world.get_actor(322) #Store the ID from the simulation or query the recording to find out
        """

        # --------------
        # Place spectator on ego spawning
        # --------------
        """
        spectator = world.get_spectator()
        world_snapshot = world.wait_for_tick() 
        spectator.set_transform(ego_vehicle.get_transform())
        """

        # --------------
        # Change weather conditions
        # --------------
        """
        weather = world.get_weather()
        weather.sun_altitude_angle = -30
        weather.fog_density = 65
        weather.fog_distance = 10
        world.set_weather(weather)
        """

        # --------------
        # Add a RGB camera to ego vehicle.
        # --------------
        """
        cam_bp = None
        cam_bp = world.get_blueprint_library().find('sensor.camera.rgb')
        cam_location = carla.Location(2,0,1)
        cam_rotation = carla.Rotation(0,180,0)
        cam_transform = carla.Transform(cam_location,cam_rotation)
        cam_bp.set_attribute("image_size_x",str(1920))
        cam_bp.set_attribute("image_size_y",str(1080))
        cam_bp.set_attribute("fov",str(105))
        ego_cam = world.spawn_actor(cam_bp,cam_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        ego_cam.listen(lambda image: image.save_to_disk('~/tutorial/new_rgb_output/%.6d.jpg' % image.frame))
        """

        # --------------
        # Add a Logarithmic Depth camera to ego vehicle. 
        # --------------
        """
        depth_cam = None
        depth_bp = world.get_blueprint_library().find('sensor.camera.depth')
        depth_bp.set_attribute("image_size_x",str(1920))
        depth_bp.set_attribute("image_size_y",str(1080))
        depth_bp.set_attribute("fov",str(105))
        depth_location = carla.Location(2,0,1)
        depth_rotation = carla.Rotation(0,180,0)
        depth_transform = carla.Transform(depth_location,depth_rotation)
        depth_cam = world.spawn_actor(depth_bp,depth_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        # This time, a color converter is applied to the image, to get the semantic segmentation view
        depth_cam.listen(lambda image: image.save_to_disk('~/tutorial/de_log/%.6d.jpg' % image.frame,carla.ColorConverter.LogarithmicDepth))
        """
        # --------------
        # Add a Depth camera to ego vehicle. 
        # --------------
        """
        depth_cam02 = None
        depth_bp02 = world.get_blueprint_library().find('sensor.camera.depth')
        depth_bp02.set_attribute("image_size_x",str(1920))
        depth_bp02.set_attribute("image_size_y",str(1080))
        depth_bp02.set_attribute("fov",str(105))
        depth_location02 = carla.Location(2,0,1)
        depth_rotation02 = carla.Rotation(0,180,0)
        depth_transform02 = carla.Transform(depth_location02,depth_rotation02)
        depth_cam02 = world.spawn_actor(depth_bp02,depth_transform02,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        # This time, a color converter is applied to the image, to get the semantic segmentation view
        depth_cam02.listen(lambda image: image.save_to_disk('~/tutorial/de/%.6d.jpg' % image.frame,carla.ColorConverter.Depth))
        """

        # --------------
        # Add a new semantic segmentation camera to ego vehicle
        # --------------
        """
        sem_cam = None
        sem_bp = world.get_blueprint_library().find('sensor.camera.semantic_segmentation')
        sem_bp.set_attribute("image_size_x",str(1920))
        sem_bp.set_attribute("image_size_y",str(1080))
        sem_bp.set_attribute("fov",str(105))
        sem_location = carla.Location(2,0,1)
        sem_rotation = carla.Rotation(0,180,0)
        sem_transform = carla.Transform(sem_location,sem_rotation)
        sem_cam = world.spawn_actor(sem_bp,sem_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        # This time, a color converter is applied to the image, to get the semantic segmentation view
        sem_cam.listen(lambda image: image.save_to_disk('~/tutorial/new_sem_output/%.6d.jpg' % image.frame,carla.ColorConverter.CityScapesPalette))
        """

        # --------------
        # Add a new radar sensor to ego vehicle
        # --------------
        """
        rad_cam = None
        rad_bp = world.get_blueprint_library().find('sensor.other.radar')
        rad_bp.set_attribute('horizontal_fov', str(35))
        rad_bp.set_attribute('vertical_fov', str(20))
        rad_bp.set_attribute('range', str(20))
        rad_location = carla.Location(x=2.8, z=1.0)
        rad_rotation = carla.Rotation(pitch=5)
        rad_transform = carla.Transform(rad_location,rad_rotation)
        rad_ego = world.spawn_actor(rad_bp,rad_transform,attach_to=ego_vehicle, attachment_type=carla.AttachmentType.Rigid)
        def rad_callback(radar_data):
            velocity_range = 7.5 # m/s
            current_rot = radar_data.transform.rotation
            for detect in radar_data:
                azi = math.degrees(detect.azimuth)
                alt = math.degrees(detect.altitude)
                # The 0.25 adjusts a bit the distance so the dots can
                # be properly seen
                fw_vec = carla.Vector3D(x=detect.depth - 0.25)
                carla.Transform(
                    carla.Location(),
                    carla.Rotation(
                        pitch=current_rot.pitch + alt,
                        yaw=current_rot.yaw + azi,
                        roll=current_rot.roll)).transform(fw_vec)

                def clamp(min_v, max_v, value):
                    return max(min_v, min(value, max_v))

                norm_velocity = detect.velocity / velocity_range # range [-1, 1]
                r = int(clamp(0.0, 1.0, 1.0 - norm_velocity) * 255.0)
                g = int(clamp(0.0, 1.0, 1.0 - abs(norm_velocity)) * 255.0)
                b = int(abs(clamp(- 1.0, 0.0, - 1.0 - norm_velocity)) * 255.0)
                world.debug.draw_point(
                    radar_data.transform.location + fw_vec,
                    size=0.075,
                    life_time=0.06,
                    persistent_lines=False,
                    color=carla.Color(r, g, b))
        rad_ego.listen(lambda radar_data: rad_callback(radar_data))
        """

        # --------------
        # Add a new LIDAR sensor to ego vehicle
        # --------------
        """
        lidar_cam = None
        lidar_bp = world.get_blueprint_library().find('sensor.lidar.ray_cast')
        lidar_bp.set_attribute('channels',str(32))
        lidar_bp.set_attribute('points_per_second',str(90000))
        lidar_bp.set_attribute('rotation_frequency',str(40))
        lidar_bp.set_attribute('range',str(20))
        lidar_location = carla.Location(0,0,2)
        lidar_rotation = carla.Rotation(0,0,0)
        lidar_transform = carla.Transform(lidar_location,lidar_rotation)
        lidar_sen = world.spawn_actor(lidar_bp,lidar_transform,attach_to=ego_vehicle,attachment_type=carla.AttachmentType.Rigid)
        lidar_sen.listen(lambda point_cloud: point_cloud.save_to_disk('/home/adas/Desktop/tutorial/new_lidar_output/%.6d.ply' % point_cloud.frame))
        """

        # --------------
        # Game loop. Prevents the script from finishing.
        # --------------
        while True:
            world_snapshot = world.wait_for_tick()

    finally:
        # --------------
        # Destroy actors
        # --------------
        if ego_vehicle is not None:
            if ego_cam is not None:
                ego_cam.stop()
                ego_cam.destroy()
            if depth_cam is not None:
                depth_cam.stop()
                depth_cam.destroy()
            if sem_cam is not None:
                sem_cam.stop()
                sem_cam.destroy()
            if rad_ego is not None:
                rad_ego.stop()
                rad_ego.destroy()
            if lidar_sen is not None:
                lidar_sen.stop()
                lidar_sen.destroy()
            ego_vehicle.destroy()
        print('\nNothing to be done.')


if __name__ == '__main__':

    try:
        main()
    except KeyboardInterrupt:
        pass
    finally:
        print('\nDone with tutorial_replay.')