upgrade models

app.py

@@ -7,13 +7,13 @@ from PIL import Image
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 # Загрузка модели
-midas = torch.hub.load("intel-isl/MiDaS", "MiDaS_small")
+midas = torch.hub.load("intel-isl/MiDaS", "DPT_Large")
 midas.to(device)
 midas.eval()
 
 # Загрузка трансформаций
 midas_transforms = torch.hub.load("intel-isl/MiDaS", "transforms")
-transform = midas_transforms.small_transform
+transform = midas_transforms.dpt_transform
 
 def predict_depth(image):
     # ======= 1. Преобразование в OpenCV формат =======