Update app.py

app.py

@@ -244,15 +244,18 @@ def predict(image):
     input_name = model.get_inputs()[0].name
     input_shape = model.get_inputs()[0].shape
 
-    print(input_shape)
+    print("after model.get_inputs()[0].shape:", input_shape)
 
     # Resize the image to the model's input shape
-    # image = cv2.resize(image, (640, 640))
     image = cv2.resize(image, (input_shape[2], input_shape[3]))
+    
+    print("after cv2.resize:", input_shape)
 
     # Convert the image to a numpy array and add a batch dimension
     image = np.expand_dims(image, axis=0).astype(np.float32)
 
+    print("np.expand_dims:", input_shape)
+
     # Perform inference
     output = model.run(None, {input_name: image})
     print(type(output))