def alarm():
"""calls alarm for the end of a cycle"""
resourcePath = path.join(path.split(__file__)[0], 'resources')
alarmPath = path.join(path.join(resourcePath, 'audio'), 'alarm.wav')
wav_obj = WaveObject.from_wave_file(alarmPath)
wav_obj.play()
def __init__(self, sound_file: str):
"""
Creates all needed instances.
:param sound_file: absolute path for the alarm sound file
"""
self.alarm_sound = WaveObject.from_wave_file(sound_file)
self.alarm_playing = None
def main_button_callback():
global tracking
if not tracking:
# delete_reset_button()
main_button.config(text="Stop")
main_button.config(background="#A02020", activebackground="#A02020")
if reset_button_f is not None:
destroy_reset_button()
graph.play()
WaveObject.from_wave_file("start_tracking.wav").play()
else:
main_button.config(text="Start Tracking")
main_button.config(background="#3030D0", activebackground="#3030D0")
graph.pause()
create_reset_button()
WaveObject.from_wave_file("stop_tracking.wav").play()
tracking = not tracking
update_stats()
def _load_sounds(self):
if not WaveObject:
raise ResourceLoadingError(False)
for file_name in listdir(self._sound_path):
if not file_name.endswith('.wav'):
continue
file_name = paths.join(self._sound_path, file_name)
name = paths.splitext(paths.basename(file_name))[0]
try:
self._sounds[name] = WaveObject.from_wave_file(file_name)
except OSError as exc:
raise ResourceLoadingError(False, *exc.args)
def play(self, start, end, loop=False):
from simpleaudio import WaveObject
dat = b''.join(self.frames[start:end])
ndat = np.frombuffer(dat, '<i2').reshape((-1, 2))
self.wave_intro = WaveObject.from_wave_file(
self._to_memory_file(0, end)
)
self.wave_loop = WaveObject.from_wave_file(
self._to_memory_file(start, end)
)
try:
play_obj = self.wave_intro.play()
play_obj.wait_done()
while loop:
play_obj = self.wave_loop.play()
play_obj.wait_done()
except KeyboardInterrupt:
print()
def mehrp_until_input(prompt=None):
mehrp_wave = WaveObject.from_wave_file(MEHRP_PATH)
play_thread = LoopRunnableThread(target=_play_wave, args=(mehrp_wave, ))
play_thread.start()
if prompt:
value = input(prompt)
else:
value = input()
play_thread.stop()
play_thread.join()
return value
class WhackMole(LaunchKey):
state = [False for n in range(0, 26)]
decay_state = [0 for n in range(0, 26)]
score = 0
colors = [TEAL, PINK]
squeak_sound = WaveObject.from_wave_file("squeak.wav")
oof_sound = WaveObject.from_wave_file("oof.wav")
def __init__(self):
self.setup()
self.clear_lights()
print("Go!")
self.game_loop()
def process_decay(self, n):
if self.decay_state[n] == 1:
self.decay_state[n] = 0
self.state[n] = False
self.light(n, BRIGHT_WHITE)
print("Whoops! You missed the mole at {}".format(n))
self.fail()
elif self.decay_state[n] > 1:
self.decay_state[n] = self.decay_state[n] - 1
def add_mole(self, n):
self.process_decay(n)
if randint(1, 1500) < 10:
color = choice(self.colors)
self.state[n] = True
self.light(n, color)
self.decay_state[n] = randint(20, 40)
def add_moles(self):
for n in range(1, 9):
self.add_mole(n)
for n in range(17, 25):
self.add_mole(n)
def whack(self, position):
if self.state[position]:
self.score = self.score + 1
self.state[position] = False
self.decay_state[position] = 0
self.light(position, BRIGHT_WHITE)
self.squeak_sound.play()
print("Whacked Mole at {}! Score = {}".format(position, self.score))
else:
print("Oops! You did not hit the mole at {}".format(position))
self.fail()
def fail(self):
self.oof_sound.play()
self.score = self.score - 1
def game_loop(self):
while True:
for msg in self.ctrl_in.iter_pending():
if msg.type == "note_on":
if msg.note < 95:
continue
self.whack(msg.note - 95)
self.add_moles()
sleep(0.05)
def play_sound(self, name):
wave_obj = WaveObject.from_wave_file(self._prefix_path + name +
self._suffix_path)
play_obj = wave_obj.play()
play_obj.wait_done()
import time
import wave
import numpy as np
from keras.models import load_model
from simpleaudio import WaveObject as wo
face = cv2.CascadeClassifier(
r'haar cascade files\haarcascade_frontalface_alt.xml')
leye = cv2.CascadeClassifier(
r'haar cascade files\haarcascade_lefteye_2splits.xml')
reye = cv2.CascadeClassifier(
r'haar cascade files\haarcascade_righteye_2splits.xml')
model = load_model('models/cnncat2.h5')
sound = wo.from_wave_file('alarm.wav')
sound_obj = None
path = os.getcwd()
color_line_BGR = (0, 0, 0) # Lavender = (234, 206, 199)
cap = cv2.VideoCapture(0)
font = cv2.FONT_HERSHEY_COMPLEX_SMALL
score = 0
thicc = 2
rpred, lpred = [], []
def draw_box(frame, height, end=None, color=(0, 0, 0), thickness=cv2.FILLED):
'''
Draw a black (default) box at the bottom left of the frame
def load_sound(folder_path: Path, snd: str) -> WaveObject:
return WaveObject.from_wave_file((folder_path / snd).as_posix())
import os
import glob
import time
from sys import platform
if platform == "linux" or platform == "linux2" or platform == "darwin":
try:
from simpleaudio import WaveObject
except ImportError:
exit(1)
for file in glob.glob('./downloaded/*.wav'): # play all wav music in file
wave = WaveObject.from_wave_file(file)
play = wave.play()
play.wait_done()
elif platform == "win32" or platform == "cygwin":
try:
import winsound
except ImportError:
exit(1)
for file in glob.glob('./downloaded/*.wav'):
winsound.PlaySound(file, winsound.SND_FILENAME)
def play_random_sound():
WaveObject.from_wave_file(join(get_sound_dir(),
choice(get_sound_files()))).play()
def mehrp(count):
mehrp_wave = WaveObject.from_wave_file(MEHRP_PATH)
for _ in range(0, count):
_play_wave(mehrp_wave)
def play_critical():
wave_obj = WaveObject.from_wave_file(CRITICAL_FILE_NAME)
play_obj = wave_obj.play()
play_obj.wait_done()
#!/usr/bin/env python3
import string
import time
from simpleaudio import WaveObject
from pynput import keyboard
sounds = {
"backspace": WaveObject.from_wave_file("sounds/backspace.wav"),
"caps_lock": WaveObject.from_wave_file("sounds/caps_lock.wav"),
"enter": WaveObject.from_wave_file("sounds/enter.wav"),
"space": WaveObject.from_wave_file("sounds/space.wav")
}
for letter in list(string.ascii_lowercase):
sounds[letter] = WaveObject.from_wave_file(f"sounds/{letter}.wav")
def on_press(key):
if isinstance(key, keyboard.KeyCode): # Alphanumeric keys
key_str = key.char.lower()
elif isinstance(key, keyboard.Key): # Special keys
key_str = str(key)[4:]
else: # Unknown keys are None
return
try:
play_obj = sounds[key_str].play()
except KeyError:
pass
def play_sound(filename):
WaveObject.from_wave_file(filename).play()
def reset_button_callback():
graph.reset()
WaveObject.from_wave_file("reset.wav").play()
f'./Bases/{base_name}' for base_name in listdir('./Bases')
if base_name.endswith('csv')
]
cols = [
'dataNotificacao', 'dataInicioSintomas', 'sintomas', 'profissionalSaude',
'condicoes', 'estadoTeste', 'tipoTeste', 'resultadoTeste', 'sexo',
'estado', 'municipio', 'idade', 'evolucaoCaso', 'classificacaoFinal'
]
for i in range(0, len(bases_names), 2):
csvs = [
DictReader(open(bases_names[i]), delimiter=';'),
DictReader(open(bases_names[i + 1]), delimiter=';')
]
df1 = pd.DataFrame.from_dict(csvs[0])[cols]
df2 = pd.DataFrame.from_dict(csvs[1])[cols]
# df = pd.concat([pd.DataFrame.from_dict(csv_file)[cols] for csv_file in csvs])
df = pd.concat([df1, df2])
df.to_csv(
f'./Bases/Concat/{bases_names[i][bases_names[i].find("-") + 1:bases_names[i].rfind(".")]}_{bases_names[i + 1][bases_names[i + 1].find("-") + 1:bases_names[i + 1].rfind(".")]}.csv',
sep=';')
print(
f'Arquivo {bases_names[i][bases_names[i].find("-") + 1:bases_names[i].rfind(".")]}_{bases_names[i + 1][bases_names[i + 1].find("-") + 1:bases_names[i + 1].rfind(".")]}.csv salvo!'
)
# print(df.info())
from simpleaudio import WaveObject as wo
wo.from_wave_file(f'./blip.mp3').play().wait_done()