intégration de la détéction audio à l'interface

code/backend_reconnaissance/hand_detector.py

@@ -1,13 +1,18 @@
 import cv2
 import mediapipe as mp
 import numpy as np
+import os
+from dotenv import load_dotenv
+load_dotenv()
+
 
 class HandDetector():
 	def __init__(self):
+		self.camera_id = int(os.getenv("CAMERA_ID"))
 		self.mp_drawing = mp.solutions.drawing_utils
 		self.mp_drawing_styles = mp.solutions.drawing_styles
 		self.mp_hands = mp.solutions.hands
-		self.cap = cv2.VideoCapture(0)
+		self.cap = cv2.VideoCapture(self.camera_id)
 		self.hands = self.mp_hands.Hands(
 				model_complexity=0,
 				min_detection_confidence=0.5,
@@ -51,8 +56,9 @@ class HandDetector():
 			# To improve performance, optionally mark the image as not writeable to
 			# pass by reference.
 			image.flags.writeable = False
+			image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
 			results = self.hands.process(image)
-			# print(results)
+
 			if results.multi_hand_landmarks:
 				handsPositions = []
 				for hand_landmarks in results.multi_hand_landmarks: