[英]Tensorflow / mobilenet training / ValueError: Unsupported input_reader_config
I'm trying to traing Mobilenet to recognize custom objects. 我正在尝试训练Mobilenet识别自定义对象。
I'm following this guide: https://towardsdatascience.com/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9 我正在遵循此指南: https : //towardsdatascience.com/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9
and using a checkpoint and pipeline.config from here: ssdlite_mobilenet_v2_coco 并从此处使用检查点和pipeline.config: ssdlite_mobilenet_v2_coco
The Problem 问题
When I start traing with the following command: 当我使用以下命令开始训练时:
python object_detection/model_main.py \
--pipeline_config_path=C:\t\models\pipeline.config \
--model_dir=C:\t\models\ \
--num_train_steps=50000 \
--alsologtostderr
I get the following: 我得到以下内容:
C:\tensorflow\models-master\research>path=C:\t\models\pipeline.config \ --model_dir=C:\t\models\ \ --num_train_steps=50000 \ --alsologtostderr
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.<locals>.model_fn at 0x0000013B6CD26C80>) includes params argument, but params are not pa
ssed to Estimator.
Traceback (most recent call last):
File "object_detection/model_main.py", line 101, in <module>
tf.app.run()
File "C:\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "object_detection/model_main.py", line 97, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 447, in train_and_evaluate
return executor.run()
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 531, in run
return self.run_local()
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 681, in run_local
eval_result, export_results = evaluator.evaluate_and_export()
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\training.py", line 886, in evaluate_and_export
hooks=self._eval_spec.hooks)
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 453, in evaluate
input_fn, hooks, checkpoint_path)
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1346, in _evaluate_build_graph
model_fn_lib.ModeKeys.EVAL))
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 985, in _get_features_and_labels_from_input_fn
result = self._call_input_fn(input_fn, mode)
File "C:\Python36\lib\site-packages\tensorflow\python\estimator\estimator.py", line 1074, in _call_input_fn
return input_fn(**kwargs)
File "C:\Python36\lib\site-packages\object_detection\inputs.py", line 493, in _eval_input_fn
transform_input_data_fn=transform_and_pad_input_data_fn)
File "C:\Python36\lib\site-packages\object_detection\builders\dataset_builder.py", line 150, in build
raise ValueError('Unsupported input_reader_config.')
ValueError: Unsupported input_reader_config.
A comment in "dataset_builder.py" says: “ dataset_builder.py”中的注释说:
Raises: ValueError: On invalid input reader proto.
引发:ValueError:在无效的输入读取器原型上。 ValueError: If no input paths are specified.
ValueError:如果未指定输入路径。
Question: 题:
Is it a problem with pipeline.config file? Pipeline.config文件有问题吗?
Does it mean that "dataset_builder.py" can't read it? 这是否意味着“ dataset_builder.py”无法读取?
OR 要么
Shall I pass some additional input path as it stated in the comment? 我是否应该按照评论中的说明传递一些其他输入路径?
If I remember correctly, cause of the problem was I didn't prepare test data. 如果我没记错的话,问题的原因是我没有准备测试数据。 There was a training data only.
只有训练数据。 So I prepared a list of test images with related XML files and generated test TFrecord.
因此,我准备了带有相关XML文件的测试图像列表,并生成了测试TFrecord。
Then the error has gone. 然后错误消失了。
PS I had a lot of other errors later but it's another story :) PS我后来还有很多其他错误,但这是另一个故事:)
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