Tensorflow 通过google对象检测API重新训练时发生超出范围错误
我正在尝试使用谷歌对象检测API对预先训练好的网络进行再培训 但我遇到了以下错误：主要错误返回到Tensorflow 通过google对象检测API重新训练时发生超出范围错误,tensorflow,machine-learning,deep-learning,Tensorflow,Machine Learning,Deep Learning,我正在尝试使用谷歌对象检测API对预先训练好的网络进行再培训 但我遇到了以下错误：主要错误返回到 self._traceback = self._graph._extract_stack() # pylint: disable=protected-access 我想不出这个错误与什么有关。我正在使用Ubuntu18，Python3.6。我将感谢你的帮助和评论。 我在这里附上了完整的日志： INFO:tensorflow:Caught OutOfRangeError. Stopping Tr
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
INFO:tensorflow:Caught OutOfRangeError. Stopping Training. FIFOQueue '_6_prefetch_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: prefetch_queue_Dequeue = QueueDequeueV2[component_types=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, ..., DT_INT32, DT_INT32, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](prefetch_queue)]]
Caused by op 'prefetch_queue_Dequeue', defined at:
File "/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py", line 206, in <module>
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py", line 202, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "/home/tree/models/research/object_detection/trainer.py", line 285, in train
clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
File "/home/tree/models/research/slim/deployment/model_deploy.py", line 193, in create_clones
outputs = model_fn(*args, **kwargs)
File "/home/tree/models/research/object_detection/trainer.py", line 177, in _create_losses
train_config.use_multiclass_scores)
File "/home/tree/models/research/object_detection/trainer.py", line 122, in get_inputs
read_data_list = input_queue.dequeue()
File "/home/tree/models/research/object_detection/core/batcher.py", line 111, in dequeue
batched_tensors = self._queue.dequeue()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/data_flow_ops.py", line 440, in dequeue
self._queue_ref, self._dtypes, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_data_flow_ops.py", line 3734, in queue_dequeue_v2
timeout_ms=timeout_ms, name=name)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1718, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
OutOfRangeError (see above for traceback): FIFOQueue '_6_prefetch_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: prefetch_queue_Dequeue = QueueDequeueV2[component_types=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, ..., DT_INT32, DT_INT32, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"](prefetch_queue)]]
INFO:tensorflow:Finished training! Saving model to disk.
Traceback (most recent call last):
File "/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py", line 206, in <module>
tf.app.run()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 126, in run
_sys.exit(main(argv))
File "/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py", line 202, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "/home/tree/models/research/object_detection/trainer.py", line 410, in train
saver=saver)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/slim/python/slim/learning.py", line 784, in train
ignore_live_threads=ignore_live_threads)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/supervisor.py", line 828, in stop
ignore_live_threads=ignore_live_threads)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/coordinator.py", line 389, in join
six.reraise(*self._exc_info_to_raise)
File "/home/tree/.local/lib/python3.6/site-packages/six.py", line 693, in reraise
raise value
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/queue_runner_impl.py", line 252, in _run
enqueue_callable()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1244, in _single_operation_run
self._call_tf_sessionrun(None, {}, [], target_list, None)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.NotFoundError: /home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/tfdata.tfrecord; No such file or directory
[[Node: parallel_read/ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/device:CPU:0"](parallel_read/TFRecordReaderV2, parallel_read/filenames)]]
信息：tensorflow:捕获范围错误。停止训练。FIFOQUUE“\u 6\u预取\u队列”已关闭，元素不足（请求的1个，当前大小为0）
[[Node:prefetch_queue_Dequeue=QueueDequeueV2[组件类型=[DT_STRING，DT_INT32，DT_FLOAT，DT_INT32，DT_FLOAT，…，DT_INT32，DT_INT32，DT_STRING，DT_INT32]，timeout_ms=-1，_device=“/job:localhost/replica:0/任务：0/device:CPU:0”]（预取队列）]]
由op“预回迁队列”引起，定义于：
文件“/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py”，第206行，在
tf.app.run（）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py”，第126行，正在运行
_系统出口（主（argv））
文件“/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py”，第202行，主视图
工人\工作\姓名，是\旗舰队队长。列车长）
文件“/home/tree/models/research/object_detection/trainer.py”，第285行，列车中
克隆=模型部署。创建克隆（部署配置，模型部署fn，[输入队列]）
文件“/home/tree/models/research/slim/deployment/model_deploy.py”，第193行，在创建克隆中
输出=型号fn（*args，**kwargs）
文件“/home/tree/models/research/object\u detection/trainer.py”，第177行，在“创建损失”中
列车配置使用多类分数）
文件“/home/tree/models/research/object\u detection/trainer.py”，第122行，在get\u输入中
read_data_list=input_queue.dequeue（）
文件“/home/tree/models/research/object_detection/core/batcher.py”，第111行，出列
批处理张量=self.\u queue.dequeue（）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/data\u-flow\u-ops.py”，第440行，出列
self.\u queue\u ref，self.\u数据类型，name=name）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_-data_-flow_-ops.py”，第3734行，在queue\u-dequeue\u v2中
超时时间=超时时间，名称=名称）
文件“/usr/local/lib/python3.6/dist packages/tensorflow/python/framework/op_def_library.py”，第787行，在“应用”和“操作”帮助程序中
op_def=op_def）
文件“/usr/local/lib/python3.6/dist packages/tensorflow/python/framework/ops.py”，第3392行，在create_op中
op_def=op_def）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py”，第1718行，在__
self._traceback=self._graph._extract_stack（）35; pylint:disable=protected access
OutOfRangeError（回溯请参见上文）：FIFOQUUE“\u 6\u预回迁\u队列”已关闭且元素不足（请求的1，当前大小为0）
[[Node:prefetch_queue_Dequeue=QueueDequeueV2[组件类型=[DT_STRING，DT_INT32，DT_FLOAT，DT_INT32，DT_FLOAT，…，DT_INT32，DT_INT32，DT_STRING，DT_INT32]，timeout_ms=-1，_device=“/job:localhost/replica:0/任务：0/device:CPU:0”]（预取队列）]]
信息：tensorflow：完成培训！将模型保存到磁盘。
回溯（最近一次呼叫最后一次）：
文件“/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py”，第206行，在
tf.app.run（）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py”，第126行，正在运行
_系统出口（主（argv））
文件“/home/tree/MEGAsync/PyProj_right/TransferFineTuneLAB/tensorflow_toy_detector/train.py”，第202行，主视图
工人\工作\姓名，是\旗舰队队长。列车长）
文件“/home/tree/models/research/object_detection/trainer.py”，第410行，列车中
储蓄者=储蓄者）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/contrib/slim/python/slim/learning.py”，第784行，列车中
忽略\u活动\u线程=忽略\u活动\u线程）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/supervisor.py”，第828行，在stop中
忽略\u活动\u线程=忽略\u活动\u线程）
文件“/usr/local/lib/python3.6/dist-packages/tensorflow/python/training/coordinator.py”，第389行，在join中
六、重新提升（*自我执行信息提升）
文件“/home/tree/.local/lib/python3.6/site packages/six.py”，第693行，在reraise中
增值
文件“/usr/local/lib/python3.6/dist packages/tensorflow/python/training/queue\u runner\u impl.py”，第252行，in\u run
排队_callable（）
文件“/usr/local/lib/python3.6/dist packages/tensorflow/python/client/session.py”，第1244行，在单次运行中
self._call_tf_sessionrun（无，{}，[]，目标列表，无）
文件“/usr/local/lib/python3.6/dist packages/tensorflow/python/client/session.py”，第1409行，位于调用会话运行中
运行（元数据）
tensorflow.python.framework.errors\u impl.NotFoundError:/home/tree/MEGAsync/PyProj\u right/TransferFineTuneLAB/tensorflow\u toy\u detector/tfdata.tfrecord；没有这样的文件或目录
[[Node:parallel\u read/ReaderReadV2=ReaderReadV2[\u device=“/job:localhost/replica:0/task:0/device:CPU:0”]（parallel\u read/TFRecordReaderV2，parallel\u read/filename）]]