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							287 lines
						
					
					
						
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							287 lines
						
					
					
						
							14 KiB
						
					
					
				from math import atan2
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from cereal import car
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from common.numpy_fast import interp
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from common.realtime import DT_DMON
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from selfdrive.hardware import TICI
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from common.filter_simple import FirstOrderFilter
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from common.stat_live import RunningStatFilter
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EventName = car.CarEvent.EventName
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# ******************************************************************************************
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#  NOTE: To fork maintainers.
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#  Disabling or nerfing safety features will get you and your users banned from our servers.
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#  We recommend that you do not change these numbers from the defaults.
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# ******************************************************************************************
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class DRIVER_MONITOR_SETTINGS():
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  def __init__(self, TICI=TICI, DT_DMON=DT_DMON):
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    self._DT_DMON = DT_DMON
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    # ref (page15-16): https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:42018X1947&rid=2
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    self._AWARENESS_TIME = 30. # passive wheeltouch total timeout
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    self._AWARENESS_PRE_TIME_TILL_TERMINAL = 15.
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    self._AWARENESS_PROMPT_TIME_TILL_TERMINAL = 6.
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    self._DISTRACTED_TIME = 11. # active monitoring total timeout
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    self._DISTRACTED_PRE_TIME_TILL_TERMINAL = 8.
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    self._DISTRACTED_PROMPT_TIME_TILL_TERMINAL = 6.
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    self._FACE_THRESHOLD = 0.5
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    self._PARTIAL_FACE_THRESHOLD = 0.765 if TICI else 0.43
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    self._EYE_THRESHOLD = 0.61 if TICI else 0.55
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    self._SG_THRESHOLD = 0.89 if TICI else 0.86
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    self._BLINK_THRESHOLD = 0.82 if TICI else 0.588
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    self._BLINK_THRESHOLD_SLACK = 0.9 if TICI else 0.77
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    self._BLINK_THRESHOLD_STRICT = self._BLINK_THRESHOLD
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    self._POSE_PITCH_THRESHOLD = 0.3237
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    self._POSE_PITCH_THRESHOLD_SLACK = 0.3657
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    self._POSE_PITCH_THRESHOLD_STRICT = self._POSE_PITCH_THRESHOLD
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    self._POSE_YAW_THRESHOLD = 0.3109
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    self._POSE_YAW_THRESHOLD_SLACK = 0.4294
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    self._POSE_YAW_THRESHOLD_STRICT = self._POSE_YAW_THRESHOLD
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    self._PITCH_NATURAL_OFFSET = 0.057 # initial value before offset is learned
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    self._YAW_NATURAL_OFFSET = 0.11 # initial value before offset is learned
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    self._PITCH_MAX_OFFSET = 0.124
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    self._PITCH_MIN_OFFSET = -0.0881
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    self._YAW_MAX_OFFSET = 0.289
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    self._YAW_MIN_OFFSET = -0.0246
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    self._POSESTD_THRESHOLD = 0.38 if TICI else 0.3
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    self._HI_STD_FALLBACK_TIME = int(10  / self._DT_DMON)  # fall back to wheel touch if model is uncertain for 10s
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    self._DISTRACTED_FILTER_TS = 0.25  # 0.6Hz
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    self._POSE_CALIB_MIN_SPEED = 13  # 30 mph
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    self._POSE_OFFSET_MIN_COUNT = int(60 / self._DT_DMON)  # valid data counts before calibration completes, 1min cumulative
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    self._POSE_OFFSET_MAX_COUNT = int(360 / self._DT_DMON)  # stop deweighting new data after 6 min, aka "short term memory"
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    self._RECOVERY_FACTOR_MAX = 5.  # relative to minus step change
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    self._RECOVERY_FACTOR_MIN = 1.25  # relative to minus step change
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    self._MAX_TERMINAL_ALERTS = 3  # not allowed to engage after 3 terminal alerts
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    self._MAX_TERMINAL_DURATION = int(30 / self._DT_DMON)  # not allowed to engage after 30s of terminal alerts
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# model output refers to center of cropped image, so need to apply the x displacement offset
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RESIZED_FOCAL = 320.0
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H, W, FULL_W = 320, 160, 426
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class DistractedType:
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  NOT_DISTRACTED = 0
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  BAD_POSE = 1
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  BAD_BLINK = 2
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def face_orientation_from_net(angles_desc, pos_desc, rpy_calib, is_rhd):
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  # the output of these angles are in device frame
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  # so from driver's perspective, pitch is up and yaw is right
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  pitch_net, yaw_net, roll_net = angles_desc
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  face_pixel_position = ((pos_desc[0] + .5)*W - W + FULL_W, (pos_desc[1]+.5)*H)
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  yaw_focal_angle = atan2(face_pixel_position[0] - FULL_W//2, RESIZED_FOCAL)
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  pitch_focal_angle = atan2(face_pixel_position[1] - H//2, RESIZED_FOCAL)
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  pitch = pitch_net + pitch_focal_angle
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  yaw = -yaw_net + yaw_focal_angle
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  # no calib for roll
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  pitch -= rpy_calib[1]
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  yaw -= rpy_calib[2] * (1 - 2 * int(is_rhd))  # lhd -> -=, rhd -> +=
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  return roll_net, pitch, yaw
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class DriverPose():
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  def __init__(self, max_trackable):
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    self.yaw = 0.
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    self.pitch = 0.
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    self.roll = 0.
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    self.yaw_std = 0.
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    self.pitch_std = 0.
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    self.roll_std = 0.
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    self.pitch_offseter = RunningStatFilter(max_trackable=max_trackable)
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    self.yaw_offseter = RunningStatFilter(max_trackable=max_trackable)
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    self.low_std = True
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    self.cfactor_pitch = 1.
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    self.cfactor_yaw = 1.
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class DriverBlink():
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  def __init__(self):
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    self.left_blink = 0.
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    self.right_blink = 0.
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    self.cfactor = 1.
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class DriverStatus():
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  def __init__(self, rhd=False, settings=DRIVER_MONITOR_SETTINGS()):
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    # init policy settings
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    self.settings = settings
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    # init driver status
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    self.is_rhd_region = rhd
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    self.pose = DriverPose(self.settings._POSE_OFFSET_MAX_COUNT)
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    self.pose_calibrated = False
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    self.blink = DriverBlink()
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    self.awareness = 1.
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    self.awareness_active = 1.
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    self.awareness_passive = 1.
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    self.driver_distracted = False
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    self.driver_distraction_filter = FirstOrderFilter(0., self.settings._DISTRACTED_FILTER_TS, self.settings._DT_DMON)
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    self.face_detected = False
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    self.face_partial = False
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    self.terminal_alert_cnt = 0
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    self.terminal_time = 0
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    self.step_change = 0.
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    self.active_monitoring_mode = True
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    self.is_model_uncertain = False
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    self.hi_stds = 0
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    self.threshold_pre = self.settings._DISTRACTED_PRE_TIME_TILL_TERMINAL / self.settings._DISTRACTED_TIME
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    self.threshold_prompt = self.settings._DISTRACTED_PROMPT_TIME_TILL_TERMINAL / self.settings._DISTRACTED_TIME
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    self._set_timers(active_monitoring=True)
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  def _set_timers(self, active_monitoring):
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    if self.active_monitoring_mode and self.awareness <= self.threshold_prompt:
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      if active_monitoring:
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        self.step_change = self.settings._DT_DMON / self.settings._DISTRACTED_TIME
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      else:
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        self.step_change = 0.
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      return  # no exploit after orange alert
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    elif self.awareness <= 0.:
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      return
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    if active_monitoring:
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      # when falling back from passive mode to active mode, reset awareness to avoid false alert
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      if not self.active_monitoring_mode:
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        self.awareness_passive = self.awareness
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        self.awareness = self.awareness_active
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      self.threshold_pre = self.settings._DISTRACTED_PRE_TIME_TILL_TERMINAL / self.settings._DISTRACTED_TIME
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      self.threshold_prompt = self.settings._DISTRACTED_PROMPT_TIME_TILL_TERMINAL / self.settings._DISTRACTED_TIME
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      self.step_change = self.settings._DT_DMON / self.settings._DISTRACTED_TIME
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      self.active_monitoring_mode = True
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    else:
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      if self.active_monitoring_mode:
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        self.awareness_active = self.awareness
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        self.awareness = self.awareness_passive
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      self.threshold_pre = self.settings._AWARENESS_PRE_TIME_TILL_TERMINAL / self.settings._AWARENESS_TIME
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      self.threshold_prompt = self.settings._AWARENESS_PROMPT_TIME_TILL_TERMINAL / self.settings._AWARENESS_TIME
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      self.step_change = self.settings._DT_DMON / self.settings._AWARENESS_TIME
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      self.active_monitoring_mode = False
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  def _is_driver_distracted(self, pose, blink):
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    if not self.pose_calibrated:
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      pitch_error = pose.pitch - self.settings._PITCH_NATURAL_OFFSET
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      yaw_error = pose.yaw - self.settings._YAW_NATURAL_OFFSET
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    else:
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      pitch_error = pose.pitch - min(max(self.pose.pitch_offseter.filtered_stat.mean(),
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                                                       self.settings._PITCH_MIN_OFFSET), self.settings._PITCH_MAX_OFFSET)
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      yaw_error = pose.yaw - min(max(self.pose.yaw_offseter.filtered_stat.mean(),
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                                                    self.settings._YAW_MIN_OFFSET), self.settings._YAW_MAX_OFFSET)
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    pitch_error = 0 if pitch_error > 0 else abs(pitch_error) # no positive pitch limit
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    yaw_error = abs(yaw_error)
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    if pitch_error > self.settings._POSE_PITCH_THRESHOLD*pose.cfactor_pitch or \
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       yaw_error > self.settings._POSE_YAW_THRESHOLD*pose.cfactor_yaw:
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      return DistractedType.BAD_POSE
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    elif (blink.left_blink + blink.right_blink)*0.5 > self.settings._BLINK_THRESHOLD*blink.cfactor:
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      return DistractedType.BAD_BLINK
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    else:
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      return DistractedType.NOT_DISTRACTED
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  def set_policy(self, model_data, car_speed):
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    ep = min(model_data.meta.engagedProb, 0.8) / 0.8 # engaged prob
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    bp = model_data.meta.disengagePredictions.brakeDisengageProbs[0] # brake disengage prob in next 2s
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    # TODO: retune adaptive blink
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    self.blink.cfactor = interp(ep, [0, 0.5, 1],
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                                           [self.settings._BLINK_THRESHOLD_STRICT,
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                                            self.settings._BLINK_THRESHOLD,
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                                            self.settings._BLINK_THRESHOLD_SLACK]) / self.settings._BLINK_THRESHOLD
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    k1 = max(-0.00156*((car_speed-16)**2)+0.6, 0.2)
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    bp_normal = max(min(bp / k1, 0.5),0)
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    self.pose.cfactor_pitch = interp(bp_normal, [0, 0.5],
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                                           [self.settings._POSE_PITCH_THRESHOLD_SLACK,
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                                            self.settings._POSE_PITCH_THRESHOLD_STRICT]) / self.settings._POSE_PITCH_THRESHOLD
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    self.pose.cfactor_yaw = interp(bp_normal, [0, 0.5],
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                                           [self.settings._POSE_YAW_THRESHOLD_SLACK,
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                                            self.settings._POSE_YAW_THRESHOLD_STRICT]) / self.settings._POSE_YAW_THRESHOLD
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  def get_pose(self, driver_state, cal_rpy, car_speed, op_engaged):
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    if not all(len(x) > 0 for x in (driver_state.faceOrientation, driver_state.facePosition,
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                                    driver_state.faceOrientationStd, driver_state.facePositionStd)):
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      return
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    self.face_partial = driver_state.partialFace > self.settings._PARTIAL_FACE_THRESHOLD
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    self.face_detected = driver_state.faceProb > self.settings._FACE_THRESHOLD or self.face_partial
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    self.pose.roll, self.pose.pitch, self.pose.yaw = face_orientation_from_net(driver_state.faceOrientation, driver_state.facePosition, cal_rpy, self.is_rhd_region)
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    self.pose.pitch_std = driver_state.faceOrientationStd[0]
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    self.pose.yaw_std = driver_state.faceOrientationStd[1]
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    # self.pose.roll_std = driver_state.faceOrientationStd[2]
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    model_std_max = max(self.pose.pitch_std, self.pose.yaw_std)
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    self.pose.low_std = model_std_max < self.settings._POSESTD_THRESHOLD and not self.face_partial
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    self.blink.left_blink = driver_state.leftBlinkProb * (driver_state.leftEyeProb > self.settings._EYE_THRESHOLD) * (driver_state.sunglassesProb < self.settings._SG_THRESHOLD)
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    self.blink.right_blink = driver_state.rightBlinkProb * (driver_state.rightEyeProb > self.settings._EYE_THRESHOLD) * (driver_state.sunglassesProb < self.settings._SG_THRESHOLD)
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    self.driver_distracted = self._is_driver_distracted(self.pose, self.blink) > 0 and \
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                                   driver_state.faceProb > self.settings._FACE_THRESHOLD and self.pose.low_std
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    self.driver_distraction_filter.update(self.driver_distracted)
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    # update offseter
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    # only update when driver is actively driving the car above a certain speed
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    if self.face_detected and car_speed > self.settings._POSE_CALIB_MIN_SPEED and self.pose.low_std and (not op_engaged or not self.driver_distracted):
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      self.pose.pitch_offseter.push_and_update(self.pose.pitch)
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      self.pose.yaw_offseter.push_and_update(self.pose.yaw)
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    self.pose_calibrated = self.pose.pitch_offseter.filtered_stat.n > self.settings._POSE_OFFSET_MIN_COUNT and \
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                                       self.pose.yaw_offseter.filtered_stat.n > self.settings._POSE_OFFSET_MIN_COUNT
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    self.is_model_uncertain = self.hi_stds > self.settings._HI_STD_FALLBACK_TIME
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    self._set_timers(self.face_detected and not self.is_model_uncertain)
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    if self.face_detected and not self.pose.low_std and not self.driver_distracted:
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      self.hi_stds += 1
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    elif self.face_detected and self.pose.low_std:
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      self.hi_stds = 0
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  def update(self, events, driver_engaged, ctrl_active, standstill):
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    if (driver_engaged and self.awareness > 0) or not ctrl_active:
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      # reset only when on disengagement if red reached
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      self.awareness = 1.
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      self.awareness_active = 1.
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      self.awareness_passive = 1.
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      return
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    driver_attentive = self.driver_distraction_filter.x < 0.37
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    awareness_prev = self.awareness
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    if (driver_attentive and self.face_detected and self.pose.low_std and self.awareness > 0):
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      # only restore awareness when paying attention and alert is not red
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      self.awareness = min(self.awareness + ((self.settings._RECOVERY_FACTOR_MAX-self.settings._RECOVERY_FACTOR_MIN)*(1.-self.awareness)+self.settings._RECOVERY_FACTOR_MIN)*self.step_change, 1.)
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      if self.awareness == 1.:
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        self.awareness_passive = min(self.awareness_passive + self.step_change, 1.)
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      # don't display alert banner when awareness is recovering and has cleared orange
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      if self.awareness > self.threshold_prompt:
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        return
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    standstill_exemption = standstill and self.awareness - self.step_change <= self.threshold_prompt
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    certainly_distracted = self.driver_distraction_filter.x > 0.63 and self.driver_distracted and self.face_detected
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    maybe_distracted = self.hi_stds > self.settings._HI_STD_FALLBACK_TIME or not self.face_detected
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    if certainly_distracted or maybe_distracted:
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      # should always be counting if distracted unless at standstill and reaching orange
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      if not standstill_exemption:
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        self.awareness = max(self.awareness - self.step_change, -0.1)
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    alert = None
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    if self.awareness <= 0.:
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      # terminal red alert: disengagement required
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      alert = EventName.driverDistracted if self.active_monitoring_mode else EventName.driverUnresponsive
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      self.terminal_time += 1
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      if awareness_prev > 0.:
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        self.terminal_alert_cnt += 1
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    elif self.awareness <= self.threshold_prompt:
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      # prompt orange alert
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      alert = EventName.promptDriverDistracted if self.active_monitoring_mode else EventName.promptDriverUnresponsive
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    elif self.awareness <= self.threshold_pre:
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      # pre green alert
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      alert = EventName.preDriverDistracted if self.active_monitoring_mode else EventName.preDriverUnresponsive
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    if alert is not None:
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      events.add(alert)
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