Update app.py

app.py

@@ -51,9 +51,10 @@ model.eval()  # Set the model to evaluation mode
 #def preprocess_image(image_path):
 def preprocess_image(image):
     #img0 = cv2.imread(image_path)
+    print("in preprocess-0 image.shape:",image.shape)
     img0 = letterbox(image, 640, stride=32, auto=True)[0]  # Resize and pad to 640x640
     img = letterbox(img0, 640, stride=32, auto=True)[0]  # Resize and pad to 640x640
-    print("in preprocess:",img.shape)
+    print("in preprocess-1 img.shape:",img.shape)
     img = img.transpose(2, 0, 1)[::-1]  # Convert BGR to RGB, to 3x416x416
     img = np.ascontiguousarray(img)
     img = torch.from_numpy(img).to(device)