Cambios yolo en gpu

fusion.py

@@ -10,6 +10,9 @@ from queue import Queue
 from deepface import DeepFace
 from ultralytics import YOLO
 import warnings
+import torch
+device = "cuda" if torch.cuda.is_available() else "cpu"
+print(f"Usando dispositivo: {device}")
 
 warnings.filterwarnings("ignore")
 
@@ -295,7 +298,7 @@ def dibujar_track_fusion(frame_show, trk, global_mem):
 
 def main():
     print("\nIniciando Sistema")
-    model = YOLO("yolov8n.pt")
+    model = YOLO("yolov8n.pt").to("cuda")
     global_mem = GlobalMemory()
     managers = {str(c): CamManager(c, global_mem) for c in SECUENCIA}
     cams = [CamStream(u) for u in URLS]
@@ -303,7 +306,7 @@ def main():
     for _ in range(2):
         threading.Thread(target=worker_rostros, args=(global_mem,), daemon=True).start()
 
-    cv2.namedWindow("SmartSoft", cv2.WINDOW_AUTOSIZE)
+    cv2.namedWindow("SmartSoft", cv2.WINDOW_NORMAL)
     idx = 0
     
     while True:

reconocimiento2.py

@@ -14,6 +14,14 @@ import subprocess
 from datetime import datetime
 import warnings
 import urllib.request
+import torch
+
+if torch.cuda.is_available():
+    device = "cuda"
+    print("GPU detectada → usando GPU 🚀")
+else:
+    device = "cpu"
+    print("GPU no disponible → usando CPU ⚠️")
     
 warnings.filterwarnings("ignore")
 
@@ -229,8 +237,8 @@ def gestionar_vectores(actualizar=False):
             res = DeepFace.represent(
                 img_path=img_mejorada, 
                 model_name="ArcFace", 
-                detector_backend="mtcnn", 
+                detector_backend="opencv", 
-                align=True, 
+                align=False, 
                 enforce_detection=True
             )
             emb = np.array(res[0]["embedding"], dtype=np.float32)