在 Raspberry PI 3 中使用来自笔记本电脑的模型时，Google 的对象检测 API 错误
Google's object detection API error when using model from laptop in Raspberry PI 3
我已经在我的笔记本电脑和 Raspberry PI 模型 3 上实现了 Google 的对象检测 API (https://github.com/tensorflow/models/tree/master/research/object_detection)。我已经设法训练了一个模型和 运行 测试代码分别在 PI 和我的笔记本电脑上进行预测。
但是PI显然很慢，训练一个好的模型需要很长时间，所以我想在我的笔记本电脑上训练模型，然后将必要的文件传输到PI进行预测。但是，当我这样做时，出现以下错误（当 运行ning object_detection_tutorial.ipynb 来自 PI 上 jupyter 内的 github 目录时：
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1322 try:
-> 1323 return fn(*args)
1324 except errors.OpError as e:
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1301 feed_dict, fetch_list, target_list,
-> 1302 status, run_metadata)
1303
/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
472 compat.as_text(c_api.TF_Message(self.status.status)),
--> 473 c_api.TF_GetCode(self.status.status))
474 # Delete the underlying status object from memory otherwise it stays alive
InvalidArgumentError: NodeDef mentions attr 'index_type' not in Op<name=Fill; signature=dims:int32, value:T -> output:T; attr=T:type>; NodeDef: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta)]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-11-dca1b88151c5> in <module>()
7 image_np_expanded = np.expand_dims(image_np, axis=0)
8 # Actual detection.
----> 9 output_dict = run_inference_for_single_image(image_np, detection_graph)
10 # Visualization of the results of a detection.
11 vis_util.visualize_boxes_and_labels_on_image_array(
<ipython-input-9-f22e65a052c1> in run_inference_for_single_image(image, graph)
33 # Run inference
34 output_dict = sess.run(tensor_dict,
---> 35 feed_dict={image_tensor: np.expand_dims(image, 0)})
36
37 # all outputs are float32 numpy arrays, so convert types as appropriate
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
887 try:
888 result = self._run(None, fetches, feed_dict, options_ptr,
--> 889 run_metadata_ptr)
890 if run_metadata:
891 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1118 if final_fetches or final_targets or (handle and feed_dict_tensor):
1119 results = self._do_run(handle, final_targets, final_fetches,
-> 1120 feed_dict_tensor, options, run_metadata)
1121 else:
1122 results = []
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1315 if handle is None:
1316 return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1317 options, run_metadata)
1318 else:
1319 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1334 except KeyError:
1335 pass
-> 1336 raise type(e)(node_def, op, message)
1337
1338 def _extend_graph(self):
InvalidArgumentError: NodeDef mentions attr 'index_type' not in Op<name=Fill; signature=dims:int32, value:T -> output:T; attr=T:type>; NodeDef: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta)]]
Caused by op 'MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones', defined at:
File "/usr/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/home/pi/.local/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 486, in start
self.io_loop.start()
File "/home/pi/.local/lib/python3.5/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/home/pi/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "/home/pi/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "/home/pi/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 208, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/pi/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
File "/home/pi/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-5-0d8b8f2357e8>", line 7, in <module>
tf.import_graph_def(od_graph_def, name='')
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 316, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/importer.py", line 411, in import_graph_def
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3069, in create_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1579, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): NodeDef mentions attr 'index_type' not in Op<name=Fill; signature=dims:int32, value:T -> output:T; attr=T:type>; NodeDef: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta)]]
附加信息：
在我的笔记本电脑上，我在 Anaconda 环境中 运行ning Windows 10 和 运行ning tensorflow。 Python 版本：3.5.3。 Tensorflow 版本：1.5.0
关于 Raspberry PI 我是 运行ning Rasbian GNU/Linux 版本 9。Python 版本：3.5.3。 Tensorflow 版本 1.5.0
不确定到底是什么问题。它以前对我不起作用，因为我在我的笔记本电脑上导出了图形，然后将图形发送到 PI，但这没有用。所以我将文件发送到 PI，然后将图表导出到那里，然后就可以了。
我已经在我的笔记本电脑和 Raspberry PI 模型 3 上实现了 Google 的对象检测 API (https://github.com/tensorflow/models/tree/master/research/object_detection)。我已经设法训练了一个模型和 运行 测试代码分别在 PI 和我的笔记本电脑上进行预测。
但是PI显然很慢，训练一个好的模型需要很长时间，所以我想在我的笔记本电脑上训练模型，然后将必要的文件传输到PI进行预测。但是，当我这样做时，出现以下错误（当 运行ning object_detection_tutorial.ipynb 来自 PI 上 jupyter 内的 github 目录时：
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1322 try:
-> 1323 return fn(*args)
1324 except errors.OpError as e:
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1301 feed_dict, fetch_list, target_list,
-> 1302 status, run_metadata)
1303
/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
472 compat.as_text(c_api.TF_Message(self.status.status)),
--> 473 c_api.TF_GetCode(self.status.status))
474 # Delete the underlying status object from memory otherwise it stays alive
InvalidArgumentError: NodeDef mentions attr 'index_type' not in Op<name=Fill; signature=dims:int32, value:T -> output:T; attr=T:type>; NodeDef: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta)]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-11-dca1b88151c5> in <module>()
7 image_np_expanded = np.expand_dims(image_np, axis=0)
8 # Actual detection.
----> 9 output_dict = run_inference_for_single_image(image_np, detection_graph)
10 # Visualization of the results of a detection.
11 vis_util.visualize_boxes_and_labels_on_image_array(
<ipython-input-9-f22e65a052c1> in run_inference_for_single_image(image, graph)
33 # Run inference
34 output_dict = sess.run(tensor_dict,
---> 35 feed_dict={image_tensor: np.expand_dims(image, 0)})
36
37 # all outputs are float32 numpy arrays, so convert types as appropriate
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
887 try:
888 result = self._run(None, fetches, feed_dict, options_ptr,
--> 889 run_metadata_ptr)
890 if run_metadata:
891 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1118 if final_fetches or final_targets or (handle and feed_dict_tensor):
1119 results = self._do_run(handle, final_targets, final_fetches,
-> 1120 feed_dict_tensor, options, run_metadata)
1121 else:
1122 results = []
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1315 if handle is None:
1316 return self._do_call(_run_fn, self._session, feeds, fetches, targets,
-> 1317 options, run_metadata)
1318 else:
1319 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
1334 except KeyError:
1335 pass
-> 1336 raise type(e)(node_def, op, message)
1337
1338 def _extend_graph(self):
InvalidArgumentError: NodeDef mentions attr 'index_type' not in Op<name=Fill; signature=dims:int32, value:T -> output:T; attr=T:type>; NodeDef: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta)]]
Caused by op 'MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones', defined at:
File "/usr/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "/home/pi/.local/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance
app.start()
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 486, in start
self.io_loop.start()
File "/home/pi/.local/lib/python3.5/site-packages/tornado/ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "/home/pi/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 450, in _handle_events
self._handle_recv()
File "/home/pi/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 480, in _handle_recv
self._run_callback(callback, msg)
File "/home/pi/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 432, in _run_callback
callback(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 233, in dispatch_shell
handler(stream, idents, msg)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 208, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "/home/pi/.local/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 537, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "/home/pi/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "/home/pi/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes
if self.run_code(code, result):
File "/home/pi/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-5-0d8b8f2357e8>", line 7, in <module>
tf.import_graph_def(od_graph_def, name='')
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 316, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/importer.py", line 411, in import_graph_def
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3069, in create_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1579, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
InvalidArgumentError (see above for traceback): NodeDef mentions attr 'index_type' not in Op<name=Fill; signature=dims:int32, value:T -> output:T; attr=T:type>; NodeDef: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta). (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[[Node: MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/ones = Fill[T=DT_INT32, index_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"](MultipleGridAnchorGenerator/Meshgrid/ExpandedShape/Reshape, Postprocessor/BatchMultiClassNonMaxSuppression/map/TensorArrayUnstack_1/range/delta)]]
附加信息：
在我的笔记本电脑上，我在 Anaconda 环境中 运行ning Windows 10 和 运行ning tensorflow。 Python 版本：3.5.3。 Tensorflow 版本：1.5.0
关于 Raspberry PI 我是 运行ning Rasbian GNU/Linux 版本 9。Python 版本：3.5.3。 Tensorflow 版本 1.5.0
不确定到底是什么问题。它以前对我不起作用，因为我在我的笔记本电脑上导出了图形，然后将图形发送到 PI，但这没有用。所以我将文件发送到 PI，然后将图表导出到那里，然后就可以了。