ValueError

[ghost]

ValueError Traceback (most recent call last)
Cell In[55], line 10
7 image_np = np.array(frame)
9 input_tensor = tf.convert_to_tensor(np.expand_dims(image_np, 0), dtype=tf.float32)
---> 10 detections = detect_fn(input_tensor)
12 num_detections = int(detections.pop('num_detections'))
13 detections = {key: value[0, :num_detections].numpy()
14 for key, value in detections.items()}

File ~\anaconda3\envs\anprtf\lib\site-packages\tensorflow\python\util\traceback_utils.py:153, in filter_traceback..error_handler(*args, **kwargs)
151 except Exception as e:
152 filtered_tb = _process_traceback_frames(e.traceback)
--> 153 raise e.with_traceback(filtered_tb) from None
154 finally:
155 del filtered_tb

File ~\anaconda3\envs\anprtf\lib\site-packages\tensorflow\python\framework\func_graph.py:1129, in func_graph_from_py_func..autograph_handler(*args, **kwargs)
1127 except Exception as e: # pylint:disable=broad-except
1128 if hasattr(e, "ag_error_metadata"):
-> 1129 raise e.ag_error_metadata.to_exception(e)
1130 else:
1131 raise

ValueError: in user code:

File "C:\Users\rites\AppData\Local\Temp\ipykernel_16796\1007919961.py", line 11, in detect_fn  *
    image, shapes = detection_model.preprocess(image)
File "C:\Users\rites\anaconda3\envs\anprtf\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\meta_architectures\ssd_meta_arch.py", line 485, in preprocess  *
    normalized_inputs, self._image_resizer_fn)
File "C:\Users\rites\anaconda3\envs\anprtf\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\utils\shape_utils.py", line 492, in resize_images_and_return_shapes  *
    outputs = static_or_dynamic_map_fn(
File "C:\Users\rites\anaconda3\envs\anprtf\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\utils\shape_utils.py", line 246, in static_or_dynamic_map_fn  *
    outputs = [fn(arg) for arg in tf.unstack(elems)]
File "C:\Users\rites\anaconda3\envs\anprtf\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\core\preprocessor.py", line 3330, in resize_image  *
    new_image = tf.image.resize_images(

ValueError: 'images' must have either 3 or 4 dimensions.