openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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import math
import numpy as np
import time
import wave
from typing import Dict, Optional, Tuple
from cereal import car, messaging
from openpilot.common.basedir import BASEDIR
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.system import micd
from openpilot.common.realtime import Ratekeeper
from openpilot.system.hardware import PC
from openpilot.system.swaglog import cloudlog
SAMPLE_RATE = 48000
MAX_VOLUME = 1.0
MIN_VOLUME = 0.1
CONTROLS_TIMEOUT = 5 # 5 seconds
FILTER_DT = 1. / (micd.SAMPLE_RATE / micd.FFT_SAMPLES)
AMBIENT_DB = 30 # DB where MIN_VOLUME is applied
DB_SCALE = 30 # AMBIENT_DB + DB_SCALE is where MAX_VOLUME is applied
AudibleAlert = car.CarControl.HUDControl.AudibleAlert
sound_list: Dict[int, Tuple[str, Optional[int], float]] = {
# AudibleAlert, file name, play count (none for infinite)
AudibleAlert.engage: ("engage.wav", 1, MAX_VOLUME),
AudibleAlert.disengage: ("disengage.wav", 1, MAX_VOLUME),
AudibleAlert.refuse: ("refuse.wav", 1, MAX_VOLUME),
AudibleAlert.prompt: ("prompt.wav", 1, MAX_VOLUME),
AudibleAlert.promptRepeat: ("prompt.wav", None, MAX_VOLUME),
AudibleAlert.promptDistracted: ("prompt_distracted.wav", None, MAX_VOLUME),
AudibleAlert.warningSoft: ("warning_soft.wav", None, MAX_VOLUME),
AudibleAlert.warningImmediate: ("warning_immediate.wav", None, MAX_VOLUME),
}
def check_controls_timeout_alert(sm):
controls_missing = time.monotonic() - sm.rcv_time['controlsState']
if controls_missing > CONTROLS_TIMEOUT:
if sm['controlsState'].enabled and (controls_missing - CONTROLS_TIMEOUT) < 10:
return True
return False
class Soundd:
def __init__(self):
self.load_sounds()
self.current_alert = AudibleAlert.none
self.current_volume = MIN_VOLUME
self.current_sound_frame = 0
self.controls_timeout_alert = False
self.spl_filter_weighted = FirstOrderFilter(0, 2.5, FILTER_DT, initialized=False)
def load_sounds(self):
self.loaded_sounds: Dict[int, np.ndarray] = {}
# Load all sounds
for sound in sound_list:
filename, play_count, volume = sound_list[sound]
wavefile = wave.open(BASEDIR + "/selfdrive/assets/sounds/" + filename, 'r')
assert wavefile.getnchannels() == 1
assert wavefile.getsampwidth() == 2
assert wavefile.getframerate() == SAMPLE_RATE
length = wavefile.getnframes()
self.loaded_sounds[sound] = np.frombuffer(wavefile.readframes(length), dtype=np.int16).astype(np.float32) / (2**16/2)
def get_sound_data(self, frames): # get "frames" worth of data from the current alert sound, looping when required
ret = np.zeros(frames, dtype=np.float32)
if self.current_alert != AudibleAlert.none:
num_loops = sound_list[self.current_alert][1]
sound_data = self.loaded_sounds[self.current_alert]
written_frames = 0
current_sound_frame = self.current_sound_frame % len(sound_data)
loops = self.current_sound_frame // len(sound_data)
while written_frames < frames and (num_loops is None or loops < num_loops):
available_frames = sound_data.shape[0] - current_sound_frame
frames_to_write = min(available_frames, frames - written_frames)
ret[written_frames:written_frames+frames_to_write] = sound_data[current_sound_frame:current_sound_frame+frames_to_write]
written_frames += frames_to_write
self.current_sound_frame += frames_to_write
return ret * self.current_volume
def callback(self, data_out: np.ndarray, frames: int, time, status) -> None:
if status:
cloudlog.warning(f"soundd stream over/underflow: {status}")
data_out[:frames, 0] = self.get_sound_data(frames)
def update_alert(self, new_alert):
current_alert_played_once = self.current_alert == AudibleAlert.none or self.current_sound_frame > len(self.loaded_sounds[self.current_alert])
if self.current_alert != new_alert and (new_alert != AudibleAlert.none or current_alert_played_once):
self.current_alert = new_alert
self.current_sound_frame = 0
def get_audible_alert(self, sm):
if sm.updated['controlsState']:
new_alert = sm['controlsState'].alertSound.raw
self.update_alert(new_alert)
elif check_controls_timeout_alert(sm):
self.update_alert(AudibleAlert.warningImmediate)
self.controls_timeout_alert = True
elif self.controls_timeout_alert:
self.update_alert(AudibleAlert.none)
self.controls_timeout_alert = False
def calculate_volume(self, weighted_db):
volume = ((weighted_db - AMBIENT_DB) / DB_SCALE) * (MAX_VOLUME - MIN_VOLUME) + MIN_VOLUME
return math.pow(10, (np.clip(volume, MIN_VOLUME, MAX_VOLUME) - 1))
def soundd_thread(self):
# sounddevice must be imported after forking processes
import sounddevice as sd
rk = Ratekeeper(20)
sm = messaging.SubMaster(['controlsState', 'microphone'])
if PC:
device = None
else:
device = "sdm845-tavil-snd-card: - (hw:0,0)"
with sd.OutputStream(device=device, channels=1, samplerate=SAMPLE_RATE, callback=self.callback) as stream:
cloudlog.info(f"soundd stream started: {stream.samplerate=} {stream.channels=} {stream.dtype=} {stream.device=}")
while True:
sm.update(0)
if sm.updated['microphone'] and self.current_alert == AudibleAlert.none: # only update volume filter when not playing alert
self.spl_filter_weighted.update(sm["microphone"].soundPressureWeightedDb)
self.current_volume = self.calculate_volume(float(self.spl_filter_weighted.x))
self.get_audible_alert(sm)
rk.keep_time()
assert stream.active
def main():
s = Soundd()
s.soundd_thread()
if __name__ == "__main__":
main()