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manage.py
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#!/usr/bin/env python3
"""
Scripts to drive a donkey 2 car
Usage:
manage.py (drive) [--model=<model>] [--js] [--type=(linear|categorical)] [--camera=(single|stereo)] [--meta=<key:value> ...] [--myconfig=<filename>]
manage.py (train) [--tubs=tubs] (--model=<model>) [--type=(linear|inferred|tensorrt_linear|tflite_linear)]
Options:
-h --help Show this screen.
--js Use physical joystick.
-f --file=<file> A text file containing paths to tub files, one per line. Option may be used more than once.
--meta=<key:value> Key/Value strings describing describing a piece of meta data about this drive. Option may be used more than once.
--myconfig=filename Specify myconfig file to use.
[default: myconfig.py]
"""
from nntplib import GroupInfo
import os
import time
import logging
from docopt import docopt
import donkeycar as dk
from donkeycar.parts import actuator, pins
from donkeycar.parts.transform import TriggeredCallback, DelayedTrigger
from donkeycar.parts.tub_v2 import TubWriter
from donkeycar.parts.datastore import TubHandler
from donkeycar.parts.controller import LocalWebController, WebFpv, JoystickController
from donkeycar.parts.throttle_filter import ThrottleFilter
from donkeycar.parts.behavior import BehaviorPart
from donkeycar.parts.file_watcher import FileWatcher
from donkeycar.parts.launch import AiLaunch
from donkeycar.utils import *
from donkeycar.vehicle import Vehicle
from donkeycar.vehicle import Vehicle
from fullspeed import CvCam
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
def drive(cfg, model_path=None, use_joystick=False, model_type=None,
camera_type='single', meta=[]):
"""
Construct a working robotic vehicle from many parts. Each part runs as a
job in the Vehicle loop, calling either it's run or run_threaded method
depending on the constructor flag `threaded`. All parts are updated one
after another at the framerate given in cfg.DRIVE_LOOP_HZ assuming each
part finishes processing in a timely manner. Parts may have named outputs
and inputs. The framework handles passing named outputs to parts
requesting the same named input.
"""
logger.info(f'PID: {os.getpid()}')
if cfg.DONKEY_GYM:
#the simulator will use cuda and then we usually run out of resources
#if we also try to use cuda. so disable for donkey_gym.
os.environ["CUDA_VISIBLE_DEVICES"]="-1"
if model_type is None:
if cfg.TRAIN_LOCALIZER:
model_type = "localizer"
elif cfg.TRAIN_BEHAVIORS:
model_type = "behavior"
else:
model_type = cfg.DEFAULT_MODEL_TYPE
#Initialize car
V = dk.vehicle.Vehicle()
#Initialize logging before anything else to allow console logging
if cfg.HAVE_CONSOLE_LOGGING:
logger.setLevel(logging.getLevelName(cfg.LOGGING_LEVEL))
ch = logging.StreamHandler()
ch.setFormatter(logging.Formatter(cfg.LOGGING_FORMAT))
logger.addHandler(ch)
if cfg.HAVE_MQTT_TELEMETRY:
from donkeycar.parts.telemetry import MqttTelemetry
tel = MqttTelemetry(cfg)
if cfg.HAVE_ODOM:
if cfg.ENCODER_TYPE == "GPIO":
from donkeycar.parts.encoder import RotaryEncoder
enc = RotaryEncoder(mm_per_tick=cfg.MM_PER_TICK, pin=cfg.ODOM_PIN, poll_delay=1.0/(cfg.DRIVE_LOOP_HZ*3), debug=cfg.ODOM_DEBUG)
V.add(enc, inputs=['throttle'], outputs=['enc/speed'], threaded=True)
elif cfg.ENCODER_TYPE == "arduino":
from donkeycar.parts.encoder import ArduinoEncoder
enc = ArduinoEncoder(mm_per_tick=cfg.MM_PER_TICK, debug=cfg.ODOM_DEBUG)
V.add(enc, outputs=['enc/speed'], threaded=True)
else:
print("No supported encoder found")
logger.info("cfg.CAMERA_TYPE %s"%cfg.CAMERA_TYPE)
if camera_type == "stereo":
if cfg.CAMERA_TYPE == "WEBCAM":
from donkeycar.parts.camera import Webcam
camA = Webcam(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, iCam = 0)
camB = Webcam(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, iCam = 1)
elif cfg.CAMERA_TYPE == "CVCAM":
from donkeycar.parts.cv import CvCam
camA = CvCam(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, iCam = 0)
camB = CvCam(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, iCam = 1)
else:
raise(Exception("Unsupported camera type: %s" % cfg.CAMERA_TYPE))
V.add(camA, outputs=['cam/image_array_a'], threaded=True)
V.add(camB, outputs=['cam/image_array_b'], threaded=True)
from donkeycar.parts.image import StereoPair
V.add(StereoPair(), inputs=['cam/image_array_a', 'cam/image_array_b'],
outputs=['cam/image_array'])
elif cfg.CAMERA_TYPE == "D435":
from donkeycar.parts.realsense435i import RealSense435i
cam = RealSense435i(
enable_rgb=cfg.REALSENSE_D435_RGB,
enable_depth=cfg.REALSENSE_D435_DEPTH,
enable_imu=cfg.REALSENSE_D435_IMU,
device_id=cfg.REALSENSE_D435_ID)
V.add(cam, inputs=[],
outputs=['cam/image_array', 'cam/depth_array',
'imu/acl_x', 'imu/acl_y', 'imu/acl_z',
'imu/gyr_x', 'imu/gyr_y', 'imu/gyr_z'],
threaded=True)
else:
if cfg.DONKEY_GYM:
from donkeycar.parts.dgym import DonkeyGymEnv
inputs = []
outputs = ['cam/image_array']
threaded = True
if cfg.DONKEY_GYM:
from donkeycar.parts.dgym import DonkeyGymEnv
#rbx
cam = DonkeyGymEnv(cfg.DONKEY_SIM_PATH, host=cfg.SIM_HOST, env_name=cfg.DONKEY_GYM_ENV_NAME, conf=cfg.GYM_CONF, record_location=cfg.SIM_RECORD_LOCATION, record_gyroaccel=cfg.SIM_RECORD_GYROACCEL, record_velocity=cfg.SIM_RECORD_VELOCITY, record_lidar=cfg.SIM_RECORD_LIDAR, delay=cfg.SIM_ARTIFICIAL_LATENCY)
threaded = True
inputs = ['angle', 'throttle']
elif cfg.CAMERA_TYPE == "PICAM":
from donkeycar.parts.camera import PiCamera
cam = PiCamera(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, framerate=cfg.CAMERA_FRAMERATE, vflip=cfg.CAMERA_VFLIP, hflip=cfg.CAMERA_HFLIP)
elif cfg.CAMERA_TYPE == "WEBCAM":
from donkeycar.parts.camera import Webcam
cam = Webcam(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, camera_index=cfg.CAMERA_INDEX)
elif cfg.CAMERA_TYPE == "CVCAM":
from donkeycar.parts.cv import CvCam1
from fullspeed import CvCam
cam = CvCam()
cam1 = CvCam1(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, iCam=cfg.CAMERA_INDEX)
elif cfg.CAMERA_TYPE == "CSIC":
from donkeycar.parts.camera import CSICamera
cam = CSICamera(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, framerate=cfg.CAMERA_FRAMERATE,
capture_width=cfg.IMAGE_W, capture_height=cfg.IMAGE_H, gstreamer_flip=cfg.CSIC_CAM_GSTREAMER_FLIP_PARM)
elif cfg.CAMERA_TYPE == "V4L":
from donkeycar.parts.camera import V4LCamera
cam = V4LCamera(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH, framerate=cfg.CAMERA_FRAMERATE)
elif cfg.CAMERA_TYPE == "MOCK":
from donkeycar.parts.camera import MockCamera
cam = MockCamera(image_w=cfg.IMAGE_W, image_h=cfg.IMAGE_H, image_d=cfg.IMAGE_DEPTH)
elif cfg.CAMERA_TYPE == "IMAGE_LIST":
from donkeycar.parts.camera import ImageListCamera
cam = ImageListCamera(path_mask=cfg.PATH_MASK)
elif cfg.CAMERA_TYPE == "LEOPARD":
from donkeycar.parts.leopard_imaging import LICamera
cam = LICamera(width=cfg.IMAGE_W, height=cfg.IMAGE_H, fps=cfg.CAMERA_FRAMERATE)
else:
raise(Exception("Unkown camera type: %s" % cfg.CAMERA_TYPE))
# Donkey gym part will output position information if it is configured
if cfg.DONKEY_GYM:
if cfg.SIM_RECORD_LOCATION:
outputs += ['pos/pos_x', 'pos/pos_y', 'pos/pos_z', 'pos/speed', 'pos/cte']
if cfg.SIM_RECORD_GYROACCEL:
outputs += ['gyro/gyro_x', 'gyro/gyro_y', 'gyro/gyro_z', 'accel/accel_x', 'accel/accel_y', 'accel/accel_z']
if cfg.SIM_RECORD_VELOCITY:
outputs += ['vel/vel_x', 'vel/vel_y', 'vel/vel_z']
if cfg.SIM_RECORD_LIDAR:
outputs += ['lidar/dist_array']
V.add(cam, inputs=inputs, outputs=outputs, threaded=threaded)
# add lidar
if cfg.USE_LIDAR:
from donkeycar.parts.lidar import RPLidar
if cfg.LIDAR_TYPE == 'RP':
print("adding RP lidar part")
lidar = RPLidar(lower_limit = cfg.LIDAR_LOWER_LIMIT, upper_limit = cfg.LIDAR_UPPER_LIMIT)
V.add(lidar, inputs=[],outputs=['lidar/dist_array'], threaded=True)
if cfg.LIDAR_TYPE == 'YD':
print("YD Lidar not yet supported")
if cfg.SHOW_FPS:
from donkeycar.parts.fps import FrequencyLogger
V.add(FrequencyLogger(cfg.FPS_DEBUG_INTERVAL), outputs=["fps/current", "fps/fps_list"])
#This web controller will create a web server that is capable
#of managing steering, throttle, and modes, and more.
ctr = LocalWebController(port=cfg.WEB_CONTROL_PORT, mode=cfg.WEB_INIT_MODE)
V.add(ctr,
inputs=['cam/image_array', 'tub/num_records', 'user/mode', 'recording'],
outputs=['user/angle', 'user/throttle', 'user/mode', 'recording'],
threaded=True)
if use_joystick or cfg.USE_JOYSTICK_AS_DEFAULT:
#modify max_throttle closer to 1.0 to have more power
#modify steering_scale lower than 1.0 to have less responsive steering
if cfg.CONTROLLER_TYPE == "pigpio_rc": # an RC controllers read by GPIO pins. They typically don't have buttons
from donkeycar.parts.controller import RCReceiver
ctr = RCReceiver(cfg)
V.add(
ctr,
inputs=['user/mode', 'recording'],
outputs=['user/angle', 'user/throttle', 'user/mode', 'recording'],
threaded=False)
else:
if cfg.CONTROLLER_TYPE == "custom": #custom controller created with `donkey createjs` command
from my_joystick import MyJoystickController
ctr = MyJoystickController(
throttle_dir=cfg.JOYSTICK_THROTTLE_DIR,
throttle_scale=cfg.JOYSTICK_MAX_THROTTLE,
steering_scale=cfg.JOYSTICK_STEERING_SCALE,
auto_record_on_throttle=cfg.AUTO_RECORD_ON_THROTTLE)
ctr.set_deadzone(cfg.JOYSTICK_DEADZONE)
elif cfg.CONTROLLER_TYPE == "MM1":
from donkeycar.parts.robohat import RoboHATController
ctr = RoboHATController(cfg)
else:
from donkeycar.parts.controller import get_js_controller
ctr = get_js_controller(cfg)
if cfg.USE_NETWORKED_JS:
from donkeycar.parts.controller import JoyStickSub
netwkJs = JoyStickSub(cfg.NETWORK_JS_SERVER_IP)
V.add(netwkJs, threaded=True)
ctr.js = netwkJs
V.add(
ctr,
inputs=['cam/image_array', 'user/mode', 'recording'],
outputs=['user/angle', 'user/throttle', 'user/mode', 'recording'],
threaded=True)
#this throttle filter will allow one tap back for esc reverse
th_filter = ThrottleFilter()
V.add(th_filter, inputs=['user/throttle'], outputs=['user/throttle'])
#See if we should even run the pilot module.
#This is only needed because the part run_condition only accepts boolean
class PilotCondition:
def run(self, mode):
if mode == 'user':
return False
else:
return True
V.add(PilotCondition(), inputs=['user/mode'], outputs=['run_pilot'])
class LedConditionLogic:
def __init__(self, cfg):
self.cfg = cfg
def run(self, mode, recording, recording_alert, behavior_state, model_file_changed, track_loc):
#returns a blink rate. 0 for off. -1 for on. positive for rate.
if track_loc is not None:
led.set_rgb(*self.cfg.LOC_COLORS[track_loc])
return -1
if model_file_changed:
led.set_rgb(self.cfg.MODEL_RELOADED_LED_R, self.cfg.MODEL_RELOADED_LED_G, self.cfg.MODEL_RELOADED_LED_B)
return 0.1
else:
led.set_rgb(self.cfg.LED_R, self.cfg.LED_G, self.cfg.LED_B)
if recording_alert:
led.set_rgb(*recording_alert)
return self.cfg.REC_COUNT_ALERT_BLINK_RATE
else:
led.set_rgb(self.cfg.LED_R, self.cfg.LED_G, self.cfg.LED_B)
if behavior_state is not None and model_type == 'behavior':
r, g, b = self.cfg.BEHAVIOR_LED_COLORS[behavior_state]
led.set_rgb(r, g, b)
return -1 #solid on
if recording:
return -1 #solid on
elif mode == 'user':
return 1
elif mode == 'local_angle':
return 0.5
elif mode == 'local':
return 0.1
return 0
if cfg.HAVE_RGB_LED and not cfg.DONKEY_GYM:
from donkeycar.parts.led_status import RGB_LED
led = RGB_LED(cfg.LED_PIN_R, cfg.LED_PIN_G, cfg.LED_PIN_B, cfg.LED_INVERT)
led.set_rgb(cfg.LED_R, cfg.LED_G, cfg.LED_B)
V.add(LedConditionLogic(cfg), inputs=['user/mode', 'recording', "records/alert", 'behavior/state', 'modelfile/modified', "pilot/loc"],
outputs=['led/blink_rate'])
V.add(led, inputs=['led/blink_rate'])
def get_record_alert_color(num_records):
col = (0, 0, 0)
for count, color in cfg.RECORD_ALERT_COLOR_ARR:
if num_records >= count:
col = color
return col
class RecordTracker:
def __init__(self):
self.last_num_rec_print = 0
self.dur_alert = 0
self.force_alert = 0
def run(self, num_records):
if num_records is None:
return 0
if self.last_num_rec_print != num_records or self.force_alert:
self.last_num_rec_print = num_records
if num_records % 10 == 0:
print("recorded", num_records, "records")
if num_records % cfg.REC_COUNT_ALERT == 0 or self.force_alert:
self.dur_alert = num_records // cfg.REC_COUNT_ALERT * cfg.REC_COUNT_ALERT_CYC
self.force_alert = 0
if self.dur_alert > 0:
self.dur_alert -= 1
if self.dur_alert != 0:
return get_record_alert_color(num_records)
return 0
rec_tracker_part = RecordTracker()
V.add(rec_tracker_part, inputs=["tub/num_records"], outputs=['records/alert'])
if cfg.AUTO_RECORD_ON_THROTTLE:
def show_record_count_status():
rec_tracker_part.last_num_rec_print = 0
rec_tracker_part.force_alert = 1
if (cfg.CONTROLLER_TYPE != "pigpio_rc") and (cfg.CONTROLLER_TYPE != "MM1"): # these controllers don't use the joystick class
if isinstance(ctr, JoystickController):
ctr.set_button_down_trigger('circle', show_record_count_status) #then we are not using the circle button. hijack that to force a record count indication
else:
show_record_count_status()
#Sombrero
if cfg.HAVE_SOMBRERO:
from donkeycar.parts.sombrero import Sombrero
s = Sombrero()
#IMU
if cfg.HAVE_IMU:
from donkeycar.parts.imu import IMU
imu = IMU(sensor=cfg.IMU_SENSOR, dlp_setting=cfg.IMU_DLP_CONFIG)
V.add(imu, outputs=['imu/acl_x', 'imu/acl_y', 'imu/acl_z',
'imu/gyr_x', 'imu/gyr_y', 'imu/gyr_z'], threaded=True)
# Use the FPV preview, which will show the cropped image output, or the full frame.
if cfg.USE_FPV:
V.add(WebFpv(), inputs=['cam/image_array'], threaded=True)
#Behavioral state
if cfg.TRAIN_BEHAVIORS:
bh = BehaviorPart(cfg.BEHAVIOR_LIST)
V.add(bh, outputs=['behavior/state', 'behavior/label', "behavior/one_hot_state_array"])
try:
ctr.set_button_down_trigger('L1', bh.increment_state)
except:
pass
inputs = ['cam/image_array', "behavior/one_hot_state_array"]
#IMU
elif cfg.USE_LIDAR:
inputs = ['cam/image_array', 'lidar/dist_array']
elif cfg.HAVE_ODOM:
inputs = ['cam/image_array', 'enc/speed']
elif model_type == "imu":
assert cfg.HAVE_IMU, 'Missing imu parameter in config'
# Run the pilot if the mode is not user.
inputs = ['cam/image_array',
'imu/acl_x', 'imu/acl_y', 'imu/acl_z',
'imu/gyr_x', 'imu/gyr_y', 'imu/gyr_z']
else:
inputs = ['cam/image_array']
def load_model(kl, model_path):
start = time.time()
print('loading model', model_path)
kl.load(model_path)
print('finished loading in %s sec.' % (str(time.time() - start)) )
def load_weights(kl, weights_path):
start = time.time()
try:
print('loading model weights', weights_path)
kl.model.load_weights(weights_path)
print('finished loading in %s sec.' % (str(time.time() - start)) )
except Exception as e:
print(e)
print('ERR>> problems loading weights', weights_path)
def load_model_json(kl, json_fnm):
start = time.time()
print('loading model json', json_fnm)
from tensorflow.python import keras
try:
with open(json_fnm, 'r') as handle:
contents = handle.read()
kl.model = keras.models.model_from_json(contents)
print('finished loading json in %s sec.' % (str(time.time() - start)) )
except Exception as e:
print(e)
print("ERR>> problems loading model json", json_fnm)
if model_path:
# When we have a model, first create an appropriate Keras part
kl = dk.utils.get_model_by_type(model_type, cfg)
model_reload_cb = None
if '.h5' in model_path or '.trt' in model_path or '.tflite' in \
model_path or '.savedmodel' in model_path or '.pth':
# load the whole model with weigths, etc
load_model(kl, model_path)
def reload_model(filename):
load_model(kl, filename)
model_reload_cb = reload_model
elif '.json' in model_path:
# when we have a .json extension
# load the model from there and look for a matching
# .wts file with just weights
load_model_json(kl, model_path)
weights_path = model_path.replace('.json', '.weights')
load_weights(kl, weights_path)
def reload_weights(filename):
weights_path = filename.replace('.json', '.weights')
load_weights(kl, weights_path)
model_reload_cb = reload_weights
else:
print("ERR>> Unknown extension type on model file!!")
return
# this part will signal visual LED, if connected
V.add(FileWatcher(model_path, verbose=True),
outputs=['modelfile/modified'])
# these parts will reload the model file, but only when ai is running
# so we don't interrupt user driving
V.add(FileWatcher(model_path), outputs=['modelfile/dirty'],
run_condition="ai_running")
V.add(DelayedTrigger(100), inputs=['modelfile/dirty'],
outputs=['modelfile/reload'], run_condition="ai_running")
V.add(TriggeredCallback(model_path, model_reload_cb),
inputs=["modelfile/reload"], run_condition="ai_running")
outputs = ['pilot/angle', 'pilot/throttle']
if cfg.TRAIN_LOCALIZER:
outputs.append("pilot/loc")
# Add image transformations like crop or trapezoidal mask
if hasattr(cfg, 'TRANSFORMATIONS') and cfg.TRANSFORMATIONS:
from donkeycar.pipeline.augmentations import ImageAugmentation
V.add(ImageAugmentation(cfg, 'TRANSFORMATIONS'),
inputs=['cam/image_array'], outputs=['cam/image_array_trans'])
inputs = ['cam/image_array_trans'] + inputs[1:]
V.add(kl, inputs=inputs, outputs=outputs, run_condition='run_pilot')
if cfg.STOP_SIGN_DETECTOR:
from donkeycar.parts.object_detector.stop_sign_detector \
import StopSignDetector
V.add(StopSignDetector(cfg.STOP_SIGN_MIN_SCORE,
cfg.STOP_SIGN_SHOW_BOUNDING_BOX,
cfg.STOP_SIGN_MAX_REVERSE_COUNT,
cfg.STOP_SIGN_REVERSE_THROTTLE),
inputs=['cam/image_array', 'pilot/throttle'],
outputs=['pilot/throttle', 'cam/image_array'])
V.add(ThrottleFilter(),
inputs=['pilot/throttle'],
outputs=['pilot/throttle'])
# Choose what inputs should change the car.
class DriveMode:
def run(self, mode,
user_angle, user_throttle,
pilot_angle, pilot_throttle):
if mode == 'user':
return user_angle, user_throttle
elif mode == 'local_angle':
return pilot_angle if pilot_angle else 0.0, user_throttle
else:
return pilot_angle if pilot_angle else 0.0, \
pilot_throttle * cfg.AI_THROTTLE_MULT \
if pilot_throttle else 0.0
V.add(DriveMode(),
inputs=['user/mode', 'user/angle', 'user/throttle',
'pilot/angle', 'pilot/throttle'],
outputs=['angle', 'throttle'])
V.add(cam, outputs=['camera/image', 'throttle'])
#to give the car a boost when starting ai mode in a race.
aiLauncher = AiLaunch(cfg.AI_LAUNCH_DURATION, cfg.AI_LAUNCH_THROTTLE, cfg.AI_LAUNCH_KEEP_ENABLED)
V.add(aiLauncher,
inputs=['user/mode', 'throttle'],
outputs=['throttle'])
if (cfg.CONTROLLER_TYPE != "pigpio_rc") and (cfg.CONTROLLER_TYPE != "MM1"):
if isinstance(ctr, JoystickController):
ctr.set_button_down_trigger(cfg.AI_LAUNCH_ENABLE_BUTTON, aiLauncher.enable_ai_launch)
class AiRunCondition:
'''
A bool part to let us know when ai is running.
'''
def run(self, mode):
if mode == "user":
return False
return True
V.add(AiRunCondition(), inputs=['user/mode'], outputs=['ai_running'])
# Ai Recording
class AiRecordingCondition:
'''
return True when ai mode, otherwize respect user mode recording flag
'''
def run(self, mode, recording):
if mode == 'user':
return recording
return True
if cfg.RECORD_DURING_AI:
V.add(AiRecordingCondition(), inputs=['user/mode', 'recording'], outputs=['recording'])
# Drive train setup
if cfg.DONKEY_GYM or cfg.DRIVE_TRAIN_TYPE == "MOCK":
pass
elif cfg.DRIVE_TRAIN_TYPE == "PWM_STEERING_THROTTLE":
#
# drivetrain for RC car with servo and ESC.
# using a PwmPin for steering (servo)
# and as second PwmPin for throttle (ESC)
#
from donkeycar.parts.actuator import PWMSteering, PWMThrottle, PulseController
dt = cfg.PWM_STEERING_THROTTLE
steering_controller = PulseController(
pwm_pin=pins.pwm_pin_by_id(dt["PWM_STEERING_PIN"]),
pwm_scale=dt["PWM_STEERING_SCALE"],
pwm_inverted=dt["PWM_STEERING_INVERTED"])
steering = PWMSteering(controller=steering_controller,
left_pulse=dt["STEERING_LEFT_PWM"],
right_pulse=dt["STEERING_RIGHT_PWM"])
throttle_controller = PulseController(
pwm_pin=pins.pwm_pin_by_id(dt["PWM_THROTTLE_PIN"]),
pwm_scale=dt["PWM_THROTTLE_SCALE"],
pwm_inverted=dt['PWM_THROTTLE_INVERTED'])
throttle = PWMThrottle(controller=throttle_controller,
max_pulse=dt['THROTTLE_FORWARD_PWM'],
zero_pulse=dt['THROTTLE_STOPPED_PWM'],
min_pulse=dt['THROTTLE_REVERSE_PWM'])
V.add(steering, inputs=['angle'], threaded=True)
V.add(throttle, inputs=['throttle'], threaded=True)
elif cfg.DRIVE_TRAIN_TYPE == "I2C_SERVO":
#
# This driver is DEPRECATED in favor of 'DRIVE_TRAIN_TYPE == "PWM_STEERING_THROTTLE"'
# This driver will be removed in a future release
#
from donkeycar.parts.actuator import PCA9685, PWMSteering, PWMThrottle
steering_controller = PCA9685(cfg.STEERING_CHANNEL, cfg.PCA9685_I2C_ADDR, busnum=cfg.PCA9685_I2C_BUSNUM)
steering = PWMSteering(controller=steering_controller,
left_pulse=cfg.STEERING_LEFT_PWM,
right_pulse=cfg.STEERING_RIGHT_PWM)
throttle_controller = PCA9685(cfg.THROTTLE_CHANNEL, cfg.PCA9685_I2C_ADDR, busnum=cfg.PCA9685_I2C_BUSNUM)
throttle = PWMThrottle(controller=throttle_controller,
max_pulse=cfg.THROTTLE_FORWARD_PWM,
zero_pulse=cfg.THROTTLE_STOPPED_PWM,
min_pulse=cfg.THROTTLE_REVERSE_PWM)
V.add(steering, inputs=['angle'], threaded=True)
V.add(throttle, inputs=['throttle'], threaded=True)
elif cfg.DRIVE_TRAIN_TYPE == "DC_STEER_THROTTLE":
dt = cfg.DC_STEER_THROTTLE
steering = actuator.L298N_HBridge_2pin(
pins.pwm_pin_by_id(dt['LEFT_DUTY_PIN']),
pins.pwm_pin_by_id(dt['RIGHT_DUTY_PIN']))
throttle = actuator.L298N_HBridge_2pin(
pins.pwm_pin_by_id(dt['FWD_DUTY_PIN']),
pins.pwm_pin_by_id(dt['BWD_DUTY_PIN']))
V.add(steering, inputs=['angle'])
V.add(throttle, inputs=['throttle'])
elif cfg.DRIVE_TRAIN_TYPE == "DC_TWO_WHEEL":
dt = cfg.DC_TWO_WHEEL
left_motor = actuator.L298N_HBridge_2pin(
pins.pwm_pin_by_id(dt['LEFT_FWD_DUTY_PIN']),
pins.pwm_pin_by_id(dt['LEFT_BWD_DUTY_PIN']))
right_motor = actuator.L298N_HBridge_2pin(
pins.pwm_pin_by_id(dt['RIGHT_FWD_DUTY_PIN']),
pins.pwm_pin_by_id(dt['RIGHT_BWD_DUTY_PIN']))
two_wheel_control = actuator.TwoWheelSteeringThrottle()
V.add(two_wheel_control,
inputs=['throttle', 'angle'],
outputs=['left_motor_speed', 'right_motor_speed'])
V.add(left_motor, inputs=['left_motor_speed'])
V.add(right_motor, inputs=['right_motor_speed'])
elif cfg.DRIVE_TRAIN_TYPE == "DC_TWO_WHEEL_L298N":
dt = cfg.DC_TWO_WHEEL_L298N
left_motor = actuator.L298N_HBridge_3pin(
pins.output_pin_by_id(dt['LEFT_FWD_PIN']),
pins.output_pin_by_id(dt['LEFT_BWD_PIN']),
pins.pwm_pin_by_id(dt['LEFT_EN_DUTY_PIN']))
right_motor = actuator.L298N_HBridge_3pin(
pins.output_pin_by_id(dt['RIGHT_FWD_PIN']),
pins.output_pin_by_id(dt['RIGHT_BWD_PIN']),
pins.pwm_pin_by_id(dt['RIGHT_EN_DUTY_PIN']))
two_wheel_control = actuator.TwoWheelSteeringThrottle()
V.add(two_wheel_control,
inputs=['throttle', 'angle'],
outputs=['left_motor_speed', 'right_motor_speed'])
V.add(left_motor, inputs=['left_motor_speed'])
V.add(right_motor, inputs=['right_motor_speed'])
elif cfg.DRIVE_TRAIN_TYPE == "SERVO_HBRIDGE_2PIN":
#
# Servo for steering and HBridge motor driver in 2pin mode for motor
#
from donkeycar.parts.actuator import PWMSteering, PWMThrottle, PulseController
from donkeycar.parts.actuator import PWMSteering, PWMThrottle, PulseController
dt = cfg.SERVO_HBRIDGE_2PIN
steering_controller = PulseController(
pwm_pin=pins.pwm_pin_by_id(dt['PWM_STEERING_PIN']),
pwm_scale=dt['PWM_STEERING_SCALE'],
pwm_inverted=dt['PWM_STEERING_INVERTED'])
steering = PWMSteering(controller=steering_controller,
left_pulse=dt['STEERING_LEFT_PWM'],
right_pulse=dt['STEERING_RIGHT_PWM'])
motor = actuator.L298N_HBridge_2pin(
pins.pwm_pin_by_id(dt['FWD_DUTY_PIN']),
pins.pwm_pin_by_id(dt['BWD_DUTY_PIN']))
V.add(steering, inputs=['angle'], threaded=True)
V.add(motor, inputs=["throttle"])
elif cfg.DRIVE_TRAIN_TYPE == "SERVO_HBRIDGE_3PIN":
#
# Servo for steering and HBridge motor driver in 3pin mode for motor
#
from donkeycar.parts.actuator import PWMSteering, PWMThrottle, PulseController
dt = cfg.SERVO_HBRIDGE_3PIN
steering_controller = PulseController(
pwm_pin=pins.pwm_pin_by_id(dt['PWM_STEERING_PIN']),
pwm_scale=dt['PWM_STEERING_SCALE'],
pwm_inverted=dt['PWM_STEERING_INVERTED'])
steering = PWMSteering(controller=steering_controller,
left_pulse=dt['STEERING_LEFT_PWM'],
right_pulse=dt['STEERING_RIGHT_PWM'])
motor = actuator.L298N_HBridge_3pin(
pins.output_pin_by_id(dt['FWD_PIN']),
pins.output_pin_by_id(dt['BWD_PIN']),
pins.pwm_pin_by_id(dt['DUTY_PIN']))
V.add(steering, inputs=['angle'], threaded=True)
V.add(motor, inputs=["throttle"])
elif cfg.DRIVE_TRAIN_TYPE == "SERVO_HBRIDGE_PWM":
#
# Thi driver is DEPRECATED in favor of 'DRIVE_TRAIN_TYPE == "SERVO_HBRIDGE_2PIN"'
# This driver will be removed in a future release
#
from donkeycar.parts.actuator import ServoBlaster, PWMSteering
steering_controller = ServoBlaster(cfg.STEERING_CHANNEL) #really pin
# PWM pulse values should be in the range of 100 to 200
assert(cfg.STEERING_LEFT_PWM <= 200)
assert(cfg.STEERING_RIGHT_PWM <= 200)
steering = PWMSteering(controller=steering_controller,
left_pulse=cfg.STEERING_LEFT_PWM,
right_pulse=cfg.STEERING_RIGHT_PWM)
from donkeycar.parts.actuator import Mini_HBridge_DC_Motor_PWM
motor = Mini_HBridge_DC_Motor_PWM(cfg.HBRIDGE_PIN_FWD, cfg.HBRIDGE_PIN_BWD)
V.add(steering, inputs=['angle'], threaded=True)
V.add(motor, inputs=["throttle"])
elif cfg.DRIVE_TRAIN_TYPE == "MM1":
from donkeycar.parts.robohat import RoboHATDriver
V.add(RoboHATDriver(cfg), inputs=['angle', 'throttle'])
elif cfg.DRIVE_TRAIN_TYPE == "PIGPIO_PWM":
#
# Thi driver is DEPRECATED in favor of 'DRIVE_TRAIN_TYPE == "PWM_STEERING_THROTTLE"'
# This driver will be removed in a future release
#
from donkeycar.parts.actuator import PWMSteering, PWMThrottle, PiGPIO_PWM
steering_controller = PiGPIO_PWM(cfg.STEERING_PWM_PIN, freq=cfg.STEERING_PWM_FREQ,
inverted=cfg.STEERING_PWM_INVERTED)
steering = PWMSteering(controller=steering_controller,
left_pulse=cfg.STEERING_LEFT_PWM,
right_pulse=cfg.STEERING_RIGHT_PWM)
throttle_controller = PiGPIO_PWM(cfg.THROTTLE_PWM_PIN, freq=cfg.THROTTLE_PWM_FREQ,
inverted=cfg.THROTTLE_PWM_INVERTED)
throttle = PWMThrottle(controller=throttle_controller,
max_pulse=cfg.THROTTLE_FORWARD_PWM,
zero_pulse=cfg.THROTTLE_STOPPED_PWM,
min_pulse=cfg.THROTTLE_REVERSE_PWM)
V.add(steering, inputs=['angle'], threaded=True)
V.add(throttle, inputs=['throttle'], threaded=True)
# OLED setup
if cfg.USE_SSD1306_128_32:
from donkeycar.parts.oled import OLEDPart
auto_record_on_throttle = cfg.USE_JOYSTICK_AS_DEFAULT and cfg.AUTO_RECORD_ON_THROTTLE
oled_part = OLEDPart(cfg.SSD1306_128_32_I2C_ROTATION, cfg.SSD1306_RESOLUTION, auto_record_on_throttle)
V.add(oled_part, inputs=['recording', 'tub/num_records', 'user/mode'], outputs=[], threaded=True)
# add tub to save data
if cfg.USE_LIDAR:
inputs = ['cam/image_array', 'lidar/dist_array', 'user/angle', 'user/throttle', 'user/mode']
types = ['image_array', 'nparray','float', 'float', 'str']
else:
inputs=['cam/image_array','user/angle', 'user/throttle', 'user/mode']
types=['image_array','float', 'float','str']
if cfg.HAVE_ODOM:
inputs += ['enc/speed']
types += ['float']
if cfg.TRAIN_BEHAVIORS:
inputs += ['behavior/state', 'behavior/label', "behavior/one_hot_state_array"]
types += ['int', 'str', 'vector']
if cfg.CAMERA_TYPE == "D435" and cfg.REALSENSE_D435_DEPTH:
inputs += ['cam/depth_array']
types += ['gray16_array']
if cfg.HAVE_IMU or (cfg.CAMERA_TYPE == "D435" and cfg.REALSENSE_D435_IMU):
inputs += ['imu/acl_x', 'imu/acl_y', 'imu/acl_z',
'imu/gyr_x', 'imu/gyr_y', 'imu/gyr_z']
types +=['float', 'float', 'float',
'float', 'float', 'float']
# rbx
if cfg.DONKEY_GYM:
if cfg.SIM_RECORD_LOCATION:
inputs += ['pos/pos_x', 'pos/pos_y', 'pos/pos_z', 'pos/speed', 'pos/cte']
types += ['float', 'float', 'float', 'float', 'float']
if cfg.SIM_RECORD_GYROACCEL:
inputs += ['gyro/gyro_x', 'gyro/gyro_y', 'gyro/gyro_z', 'accel/accel_x', 'accel/accel_y', 'accel/accel_z']
types += ['float', 'float', 'float', 'float', 'float', 'float']
if cfg.SIM_RECORD_VELOCITY:
inputs += ['vel/vel_x', 'vel/vel_y', 'vel/vel_z']
types += ['float', 'float', 'float']
if cfg.SIM_RECORD_LIDAR:
inputs += ['lidar/dist_array']
types += ['nparray']
if cfg.RECORD_DURING_AI:
inputs += ['pilot/angle', 'pilot/throttle']
types += ['float', 'float']
if cfg.HAVE_PERFMON:
from donkeycar.parts.perfmon import PerfMonitor
mon = PerfMonitor(cfg)
perfmon_outputs = ['perf/cpu', 'perf/mem', 'perf/freq']
inputs += perfmon_outputs
types += ['float', 'float', 'float']
V.add(mon, inputs=[], outputs=perfmon_outputs, threaded=True)
# do we want to store new records into own dir or append to existing
tub_path = TubHandler(path=cfg.DATA_PATH).create_tub_path() if \
cfg.AUTO_CREATE_NEW_TUB else cfg.DATA_PATH
tub_writer = TubWriter(tub_path, inputs=inputs, types=types, metadata=meta)
V.add(tub_writer, inputs=inputs, outputs=["tub/num_records"], run_condition='recording')
# Telemetry (we add the same metrics added to the TubHandler
if cfg.HAVE_MQTT_TELEMETRY:
telem_inputs, _ = tel.add_step_inputs(inputs, types)
V.add(tel, inputs=telem_inputs, outputs=["tub/queue_size"], threaded=True)
if cfg.PUB_CAMERA_IMAGES:
from donkeycar.parts.network import TCPServeValue
from donkeycar.parts.image import ImgArrToJpg
pub = TCPServeValue("camera")
V.add(ImgArrToJpg(), inputs=['cam/image_array'], outputs=['jpg/bin'])
V.add(pub, inputs=['jpg/bin'])
if type(ctr) is LocalWebController:
if cfg.DONKEY_GYM:
print("You can now go to http://localhost:%d to drive your car." % cfg.WEB_CONTROL_PORT)
else:
print("You can now go to <your hostname.local>:%d to drive your car." % cfg.WEB_CONTROL_PORT)
elif (cfg.CONTROLLER_TYPE != "pigpio_rc") and (cfg.CONTROLLER_TYPE != "MM1"):
if isinstance(ctr, JoystickController):
print("You can now move your joystick to drive your car.")
ctr.set_tub(tub_writer.tub)
ctr.print_controls()
# run the vehicle
V.start(rate_hz=cfg.DRIVE_LOOP_HZ, max_loop_count=cfg.MAX_LOOPS)
if __name__ == '__main__':
args = docopt(__doc__)
cfg = dk.load_config(myconfig=args['--myconfig'])
if args['drive']:
model_type = args['--type']
camera_type = args['--camera']
drive(cfg, model_path=args['--model'], use_joystick=args['--js'],
model_type=model_type, camera_type=camera_type,
meta=args['--meta'])
elif args['train']:
print('Use python train.py instead.\n')