Delete tout.py

tout.py

-import sounddevice as sd
-import numpy as np
-import soundfile as sf
-from collections import deque
-from datetime import datetime
-import time
-import RPi.GPIO as GPIO
-from subprocess import call
-
-# Paramètres audio
-RATE = 44100
-CHANNELS = 2
-THRESHOLD = 95.0  # Ajuste ce seuil selon tes tests
-
-duration_before = 5  # secondes avant événement
-duration_after = 5   # secondes après l'évènement
-
-# Buffers
-buffer = deque(maxlen=int(RATE * duration_before))
-intensity_buffer = deque(maxlen=int(RATE * 5))  # Buffer intensité pour 5 secondes
-
-# Fonction pour sauvegarder un fichier FLAC
-
-def save_wav(filename, data, samplerate):
-    filename = filename.replace('.wav', '.flac')
-    sf.write(filename, data, samplerate, format='FLAC')
-    print(f"Audio enregistré sous {filename}")
-
-
-# Callback audio pour enregistrement continu
-def audio_callback(indata, frames, time, status):
-    global buffer, intensity_buffer
-    buffer.extend(indata[:, 0])
-    intensity_buffer.extend(indata[:, 0])
-    
-#Paramètres ultrason
-GPIO.setmode(GPIO.BCM)
-GPIO.setwarnings(False)
-
-# Define GPIO to use on Pi
-GPIO_TRIGGER = 23
-GPIO_ECHO    = 24
-
-
-
-# Set pins as output and input
-GPIO.setup(GPIO_TRIGGER,GPIO.OUT)  # Trigger
-GPIO.setup(GPIO_ECHO,GPIO.IN)      # Echo
-
-# Set trigger to False (Low)
-GPIO.output(GPIO_TRIGGER, False)
-
-#Skipper photo
-k=0
-
-# Lancement du stream audio
-with sd.InputStream(samplerate=RATE, channels=1, callback=audio_callback, blocksize=1024):
-    print("Début de l'écoute en continu. Appuyez sur Ctrl+C pour arrêter.")
-    try:
-        while True:
-            sd.sleep(1000)  # actualisation chaque seconde
-
-            # Calculer la moyenne de l'intensité sonore des 5 dernières secondes
-            if len(intensity_buffer) == RATE * 5:
-                current_window = np.array(intensity_buffer)
-                avg_intensity = np.max(np.abs(current_window)) * 100
-                print(f"Intensité sonore (moyenne 5 sec): {avg_intensity:.2f}")
-
-                intensity_buffer.clear()  # Réinitialiser chaque seconde pour une moyenne nette
-
-                if avg_intensity > THRESHOLD:
-                    print("Son détecté, enregistrement en cours...")
-
-                    previous_audio = np.array(buffer)
-                    next_audio = sd.rec(int(RATE * duration_after), samplerate=RATE, channels=1)
-                    sd.wait()
-
-                    combined_audio = np.concatenate((previous_audio, next_audio[:,0]))
-
-                    filename = datetime.now().strftime("record_%Y%m%d_%H%M%S.wav")
-                    save_wav(filename, combined_audio, RATE)
-
-                    buffer.clear()
-                    intensity_buffer.clear()
-                    print("Écoute relancée...")
-                    
-            time.sleep(0.5)
-
-# Send 10us pulse to trigger
-            GPIO.output(GPIO_TRIGGER, True)
-            time.sleep(0.00001)
-            GPIO.output(GPIO_TRIGGER, False)
-            start = time.time()
-
-            while GPIO.input(GPIO_ECHO)==0:
-              start = time.time()
-
-            while GPIO.input(GPIO_ECHO)==1:
-              stop = time.time()
-
-# Calculate pulse length
-            elapsed = stop-start
-
-# Distance pulse travelled in that time is time
-# multiplied by the speed of sound (cm/s)
-            distancet = elapsed * 34300
-
-# That was the distance there and back so halve the value
-            distance = distancet / 2
-
-            print ("Distance :", distance)
-            if distance <= 5 and k==0 :
-                timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
-                file_path = f"/home/Pronto/programmes2025/Photos/captured_{timestamp}.jpg"
-                call(["libcamera-jpeg","--width", "1280","--height","720","-o",file_path])
-                k=30
-            elif k>0:
-                k=k-1
-
-    except KeyboardInterrupt:
-        print("Arrêt de l'écoute.")
-