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DatasetProper.py
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DatasetProper.py
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#!/usr/bin/env python3
# Copyright (c) 2017 Computer Vision Center (CVC) at the Universitat Autonoma de
# Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
# Keyboard controlling for CARLA. Please refer to client_example.py for a simpler
# and more documented example.
"""
Welcome to CARLA manual control.
Use ARROWS or WASD keys for control.
W : throttle
S : brake
AD : steer
Q : toggle reverse
Space : hand-brake
P : toggle autopilot
R : restart level
STARTING in a moment...
"""
from __future__ import print_function
import argparse
import logging
import random
import time
import csv
try:
import pygame
from pygame.locals import K_DOWN
from pygame.locals import K_LEFT
from pygame.locals import K_RIGHT
from pygame.locals import K_SPACE
from pygame.locals import K_UP
from pygame.locals import K_a
from pygame.locals import K_d
from pygame.locals import K_p
from pygame.locals import K_q
from pygame.locals import K_r
from pygame.locals import K_s
from pygame.locals import K_w
except ImportError:
raise RuntimeError('cannot import pygame, make sure pygame package is installed')
try:
import numpy as np
except ImportError:
raise RuntimeError('cannot import numpy, make sure numpy package is installed')
from carla import image_converter
from carla import sensor
from carla.client import make_carla_client, VehicleControl
from carla.planner.map import CarlaMap
from carla.settings import CarlaSettings
from carla.tcp import TCPConnectionError
from carla.util import print_over_same_line
COUNT=0
frame=20
WINDOW_WIDTH = 800
WINDOW_HEIGHT = 600
MINI_WINDOW_WIDTH = 320
MINI_WINDOW_HEIGHT = 180
def make_carla_settings(args):
"""Make a CarlaSettings object with the settings we need."""
settings = CarlaSettings()
settings.set(
SynchronousMode=False,
SendNonPlayerAgentsInfo=True,
NumberOfVehicles=15,
NumberOfPedestrians=30,
WeatherId=random.choice([1, 3, 7, 8, 14]),
QualityLevel=args.quality_level)
settings.randomize_seeds()
camera0 = sensor.Camera('CameraRGB')
camera0.set_image_size(WINDOW_WIDTH, WINDOW_HEIGHT)
camera0.set_position(2.0, 0.0, 1.4)
camera0.set_rotation(0.0, 0.0, 0.0)
settings.add_sensor(camera0)
camera2 = sensor.Camera('CameraSemSeg', PostProcessing='SemanticSegmentation')
camera2.set_image_size(MINI_WINDOW_WIDTH, MINI_WINDOW_HEIGHT)
camera2.set_position(2.0, 0.0, 1.4)
camera2.set_rotation(0.0, 0.0, 0.0)
settings.add_sensor(camera2)
return settings
class Timer(object):
def __init__(self):
self.step = 0
self._lap_step = 0
self._lap_time = time.time()
def tick(self):
self.step += 1
def lap(self):
self._lap_step = self.step
self._lap_time = time.time()
def ticks_per_second(self):
return float(self.step - self._lap_step) / self.elapsed_seconds_since_lap()
def elapsed_seconds_since_lap(self):
return time.time() - self._lap_time
class CarlaGame(object):
def __init__(self, carla_client, args):
self.client = carla_client
self._carla_settings = make_carla_settings(args)
self._timer = None
self._display = None
self._main_image = None
self._mini_view_image2 = None
self._enable_autopilot = args.autopilot
self._lidar_measurement = None
self._map_view = None
self._is_on_reverse = False
self._city_name = args.map_name
self._map = CarlaMap(self._city_name, 0.1643, 50.0) if self._city_name is not None else None
self._map_shape = self._map.map_image.shape if self._city_name is not None else None
self._map_view = self._map.get_map(WINDOW_HEIGHT) if self._city_name is not None else None
self._position = None
self._agent_positions = None
def execute(self):
"""Launch the PyGame."""
pygame.init()
global COUNT
global f
self._initialize_game()
try:
while True:
for event in pygame.event.get():
if event.type == pygame.QUIT:
return
COUNT+=1
self._on_loop()
self._on_render()
finally:
pygame.quit()
def _initialize_game(self):
if self._city_name is not None:
self._display = pygame.display.set_mode(
(WINDOW_WIDTH + int((WINDOW_HEIGHT/float(self._map.map_image.shape[0]))*self._map.map_image.shape[1]), WINDOW_HEIGHT),
pygame.HWSURFACE | pygame.DOUBLEBUF)
else:
self._display = pygame.display.set_mode(
(WINDOW_WIDTH, WINDOW_HEIGHT),
pygame.HWSURFACE | pygame.DOUBLEBUF)
logging.debug('pygame started')
self._on_new_episode()
def _on_new_episode(self):
self._carla_settings.randomize_seeds()
self._carla_settings.randomize_weather()
scene = self.client.load_settings(self._carla_settings)
number_of_player_starts = len(scene.player_start_spots)
player_start = np.random.randint(number_of_player_starts)
print('Starting new episode...')
self.client.start_episode(player_start)
self._timer = Timer()
self._is_on_reverse = False
def _on_loop(self):
global COUNT
global frame
self._timer.tick()
measurements, sensor_data = self.client.read_data()
if((COUNT%frame)==0):
location=[measurements.player_measurements.transform.location.x,measurements.player_measurements.transform.location.y,measurements.player_measurements.transform.location.z]
rotation=[measurements.player_measurements.transform.rotation.pitch,measurements.player_measurements.transform.rotation.yaw,measurements.player_measurements.transform.rotation.roll]
row=[COUNT,location,rotation]
with open("E:\Location and Orientation.csv",'a', newline='') as f:
writer=csv.writer(f)
writer.writerow(row)
self._main_image = sensor_data.get('CameraRGB', None)
self._mini_view_image2 = sensor_data.get('CameraSemSeg', None)
if self._timer.elapsed_seconds_since_lap() > 1.0:
if self._city_name is not None:
#print("I got the position")
# Function to get car position on map.
map_position = self._map.convert_to_pixel([
measurements.player_measurements.transform.location.x,
measurements.player_measurements.transform.location.y,
measurements.player_measurements.transform.location.z])
# Function to get orientation of the road car is in.
lane_orientation = self._map.get_lane_orientation([
measurements.player_measurements.transform.location.x,
measurements.player_measurements.transform.location.y,
measurements.player_measurements.transform.location.z])
#print("Position: "+format(map_position))
#print("Orientation: "+format(lane_orientation))
self._print_player_measurements_map(
measurements.player_measurements,
map_position,
lane_orientation)
else:
print("else executed"+format(COUNT))
self._print_player_measurements(measurements.player_measurements)
self._timer.lap()
control = self._get_keyboard_control(pygame.key.get_pressed())
# Set the player position
if self._city_name is not None:
self._position = self._map.convert_to_pixel([
measurements.player_measurements.transform.location.x,
measurements.player_measurements.transform.location.y,
measurements.player_measurements.transform.location.z])
self._agent_positions = measurements.non_player_agents
if control is None:
self._on_new_episode()
elif self._enable_autopilot:
self.client.send_control(measurements.player_measurements.autopilot_control)
else:
self.client.send_control(control)
def _get_keyboard_control(self, keys):
"""
Return a VehicleControl message based on the pressed keys. Return None
if a new episode was requested.
"""
if keys[K_r]:
return None
control = VehicleControl()
if keys[K_LEFT] or keys[K_a]:
control.steer = -1.0
if keys[K_RIGHT] or keys[K_d]:
control.steer = 1.0
if keys[K_UP] or keys[K_w]:
control.throttle = 1.0
if keys[K_DOWN] or keys[K_s]:
control.brake = 1.0
if keys[K_SPACE]:
control.hand_brake = True
if keys[K_q]:
self._is_on_reverse = not self._is_on_reverse
if keys[K_p]:
self._enable_autopilot = not self._enable_autopilot
control.reverse = self._is_on_reverse
return control
def _print_player_measurements_map(
self,
player_measurements,
map_position,
lane_orientation):
message = 'Step {step} ({fps:.1f} FPS): '
message += 'Map Position ({map_x:.1f},{map_y:.1f}) '
message += 'Lane Orientation ({ori_x:.1f},{ori_y:.1f}) '
message += '{speed:.2f} km/h, '
message += '{other_lane:.0f}% other lane, {offroad:.0f}% off-road'
message = message.format(
map_x=map_position[0],
map_y=map_position[1],
ori_x=lane_orientation[0],
ori_y=lane_orientation[1],
step=self._timer.step,
fps=self._timer.ticks_per_second(),
speed=player_measurements.forward_speed * 3.6,
other_lane=100 * player_measurements.intersection_otherlane,
offroad=100 * player_measurements.intersection_offroad)
print_over_same_line(message)
def _print_player_measurements(self, player_measurements):
message = 'Step {step} ({fps:.1f} FPS): '
message += '{speed:.2f} km/h, '
message += '{other_lane:.0f}% other lane, {offroad:.0f}% off-road'
message = message.format(
step=self._timer.step,
fps=self._timer.ticks_per_second(),
speed=player_measurements.forward_speed * 3.6,
other_lane=100 * player_measurements.intersection_otherlane,
offroad=100 * player_measurements.intersection_offroad)
print_over_same_line(message)
def _on_render(self):
gap_x = (WINDOW_WIDTH - 2 * MINI_WINDOW_WIDTH) / 3
mini_image_y = WINDOW_HEIGHT - MINI_WINDOW_HEIGHT - gap_x
global COUNT
global frame
#COUNT+=1
if self._main_image is not None:
array = image_converter.to_rgb_array(self._main_image)
surface = pygame.surfarray.make_surface(array.swapaxes(0, 1))
self._display.blit(surface, (0, 0))
if((COUNT%frame)==0):
pygame.image.save(surface,"E:/RGB/rgb"+format(COUNT)+".png")
# print("RGB saved")
if self._mini_view_image2 is not None:
array = image_converter.labels_to_cityscapes_palette(
self._mini_view_image2)
surface = pygame.surfarray.make_surface(array.swapaxes(0, 1))
if(COUNT%frame==0):
pygame.image.save(surface,"E:/Semanticdata/Semantic"+format(COUNT)+".png")
# print("Semantic saved")
self._display.blit(
surface, (2 * gap_x + MINI_WINDOW_WIDTH, mini_image_y))
if self._map_view is not None:
array = self._map_view
array = array[:, :, :3]
new_window_width = \
(float(WINDOW_HEIGHT) / float(self._map_shape[0])) * \
float(self._map_shape[1])
surface = pygame.surfarray.make_surface(array.swapaxes(0, 1))
w_pos = int(self._position[0]*(float(WINDOW_HEIGHT)/float(self._map_shape[0])))
h_pos = int(self._position[1] *(new_window_width/float(self._map_shape[1])))
pygame.draw.circle(surface, [255, 0, 0, 255], (w_pos, h_pos), 6, 0)
for agent in self._agent_positions:
if agent.HasField('vehicle'):
agent_position = self._map.convert_to_pixel([
agent.vehicle.transform.location.x,
agent.vehicle.transform.location.y,
agent.vehicle.transform.location.z])
w_pos = int(agent_position[0]*(float(WINDOW_HEIGHT)/float(self._map_shape[0])))
h_pos = int(agent_position[1] *(new_window_width/float(self._map_shape[1])))
pygame.draw.circle(surface, [255, 0, 255, 255], (w_pos, h_pos), 4, 0)
self._display.blit(surface, (WINDOW_WIDTH, 0))
pygame.display.flip()
def main():
argparser = argparse.ArgumentParser(
description='CARLA Manual Control Client')
argparser.add_argument(
'-v', '--verbose',
action='store_true',
dest='debug',
help='print debug information')
argparser.add_argument(
'--host',
metavar='H',
default='localhost',
help='IP of the host server (default: localhost)')
argparser.add_argument(
'-p', '--port',
metavar='P',
default=2000,
type=int,
help='TCP port to listen to (default: 2000)')
argparser.add_argument(
'-a', '--autopilot',
action='store_true',
help='enable autopilot')
argparser.add_argument(
'-l', '--lidar',
action='store_true',
help='enable Lidar')
argparser.add_argument(
'-q', '--quality-level',
choices=['Low', 'Epic'],
type=lambda s: s.title(),
default='Epic',
help='graphics quality level, a lower level makes the simulation run considerably faster.')
argparser.add_argument(
'-m', '--map-name',
metavar='M',
default=None,
help='plot the map of the current city (needs to match active map in '
'server, options: Town01 or Town02)')
args = argparser.parse_args()
log_level = logging.DEBUG if args.debug else logging.INFO
logging.basicConfig(format='%(levelname)s: %(message)s', level=log_level)
logging.info('listening to server %s:%s', args.host, args.port)
print(__doc__)
while True:
try:
with make_carla_client(args.host, args.port) as client:
game = CarlaGame(client, args)
game.execute()
break
except TCPConnectionError as error:
logging.error(error)
time.sleep(1)
if __name__ == '__main__':
try:
main()
except KeyboardInterrupt:
print('\nCancelled by user. Bye!')