train.py doesnt work with TensorFlow 1.12

mephisto83 commented 5 years ago

python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config

Window 10, cpu only.

tensorflow1) C:\tensorflow1\models\research\object_detection>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config WARNING:tensorflow:From C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\platform\app.py:125: main (from main) is deprecated and will be removed in a future version. Instructions for updating: Use object_detection/model_main.py. WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\legacy\trainer.py:266: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version. Instructions for updating: Please switch to tf.train.create_global_step WARNING:tensorflow:num_readers has been reduced to 0 to match input file shards. WARNING:tensorflow:From C:\tensorflow1\models\research\object_detection\builders\dataset_builder.py:80: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.data.experimental.parallel_interleave(...). Traceback (most recent call last): File "train.py", line 184, in tf.app.run() File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run _sys.exit(main(argv)) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\util\deprecation.py", line 306, in new_func return func(*args, *kwargs) File "train.py", line 180, in main graph_hook_fn=graph_rewriter_fn) File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 280, in train train_config.prefetch_queue_capacity, data_augmentation_options) File "C:\tensorflow1\models\research\object_detection\legacy\trainer.py", line 59, in create_input_queue tensor_dict = create_tensor_dict_fn() File "train.py", line 121, in get_next dataset_builder.build(config)).get_next() File "C:\tensorflow1\models\research\object_detection\builders\dataset_builder.py", line 134, in build config.input_path[:], input_reader_config) File "C:\tensorflow1\models\research\object_detection\builders\dataset_builder.py", line 80, in read_dataset sloppy=config.shuffle)) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 1190, in apply dataset = transformation_func(self) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\experimental\ops\interleave_ops.py", line 87, in _apply_fn buffer_output_elements, prefetch_input_elements) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\readers.py", line 134, in init cycle_length, block_length) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2714, in init super(InterleaveDataset, self).init(input_dataset, map_func) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 2677, in init experimental_nested_dataset_support=True) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 1860, in init self._function.add_to_graph(ops.get_default_graph()) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\function.py", line 479, in add_to_graph self._create_definition_if_needed() File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\function.py", line 335, in _create_definition_if_needed self._create_definition_if_needed_impl() File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\function.py", line 344, in _create_definition_if_needed_impl self._capture_by_value, self._caller_device) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\function.py", line 864, in func_graph_from_py_func outputs = func(func_graph.inputs) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\dataset_ops.py", line 1794, in tf_data_structured_function_wrapper ret = func(*nested_args) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\data\ops\readers.py", line 200, in init filenames = ops.convert_to_tensor(filenames, dtype=dtypes.string) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\ops.py", line 1050, in convert_to_tensor as_ref=False) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\ops.py", line 1146, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "C:\Users\ajporter\AppData\Local\Continuum\anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\framework\ops.py", line 983, in _TensorTensorConversionFunction (dtype.name, t.dtype.name, str(t))) ValueError: Tensor conversion requested dtype string for Tensor with dtype float32: 'Tensor("arg0:0", shape=(), dtype=float32, device=/device:CPU:0)'

Dev-HJYoo commented 5 years ago

line 5, "main (from main) is deprecated and will be removed in a future version." is error?

leccyril commented 5 years ago

there is not the complete error

visiodeibc commented 5 years ago

Hey I know this won't help much but I had a exact same error so I decided to do it all over again this is what i did differently

didn't run C:\tensorflow1\models\research\object_detection> python sizeChecker.py --move somehow all my pics would go to the wrong data folder so i didn't run this
made sure when i wrote labelmap.pbtxt file there were no extra line at the end and such
for "faster_rcnn_inception_v2_pets.config " file editing at Line 132. Change num_examples to the number of images you have in the \images\test directory. I realized i putted number of training data not test

and just crossed my finger but it seems like its training well so best of luck for you too! I hope it helps somehow....

saichandrareddy1 commented 5 years ago

@mephisto83 have you got the answer

Rajamohanreddyai commented 5 years ago

Hi, check this link https://youtu.be/nZUxoHPFf4w

EdjeElectronics / TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

train.py doesnt work with TensorFlow 1.12 #239