Update app.py

app.py

@@ -37,7 +37,7 @@ model.eval()
 #     transforms.ToTensor()
 # ])
 transform = transforms.Compose([  # Ensure input is a PIL image
-    transforms.Resize((640, 640)),
+    transforms.Resize((1000, 1000)),
     transforms.ToTensor()
 ])
 # transform = transforms.Compose([
@@ -85,6 +85,7 @@ def detect_objects_in_image(image):
     print(Image.fromarray(np.array(image)))
     print(np.array(image))
     print(type(image))
+    print(len(pred))
     if len(pred) == 0:
         return Image.fromarray(np.array(image))  # Return only image and None for graph
     print("passed6")