Hi,
I am a beginner so please help me out with this.
I am running this command to train a mask model but it gives me error no matter whatever I changed.
Here are some details:
error/log: /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint8 = np.dtype([("qint8", np.int8, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint16 = np.dtype([("qint16", np.int16, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
_np_qint32 = np.dtype([("qint32", np.int32, 1)])
/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
WARNING:tensorflow:From model_main.py:109: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.
W0527 17:36:23.862397 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.
W0527 17:36:23.866144 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.
WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
W0527 17:36:23.866272 140306570090304 model_lib.py:629] Forced number of epochs for all eval validations to be 1.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.
W0527 17:36:23.866388 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.
INFO:tensorflow:Maybe overwriting train_steps: None
I0527 17:36:23.866481 140306570090304 config_util.py:488] Maybe overwriting train_steps: None
INFO:tensorflow:Maybe overwriting use_bfloat16: False
I0527 17:36:23.866568 140306570090304 config_util.py:488] Maybe overwriting use_bfloat16: False
INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1
I0527 17:36:23.866660 140306570090304 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1
INFO:tensorflow:Maybe overwriting eval_num_epochs: 1
I0527 17:36:23.866752 140306570090304 config_util.py:488] Maybe overwriting eval_num_epochs: 1
INFO:tensorflow:Maybe overwriting load_pretrained: True
I0527 17:36:23.866844 140306570090304 config_util.py:488] Maybe overwriting load_pretrained: True
INFO:tensorflow:Ignoring config override key: load_pretrained
I0527 17:36:23.866931 140306570090304 config_util.py:498] Ignoring config override key: load_pretrained
WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1.
W0527 17:36:23.867132 140306570090304 model_lib.py:645] Expected number of evaluation epochs is 1, but instead encountered eval_on_train_input_config.num_epochs = 0. Overwriting num_epochs to 1.
INFO:tensorflow:create_estimator_and_inputs: use_tpu False, export_to_tpu False
I0527 17:36:23.867237 140306570090304 model_lib.py:680] create_estimator_and_inputs: use_tpu False, export_to_tpu False
INFO:tensorflow:Using config: {'_model_dir': '/home/mousam/Downloads/Dogs/model/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f9b41642850>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
I0527 17:36:23.867632 140306570090304 estimator.py:209] Using config: {'_model_dir': '/home/mousam/Downloads/Dogs/model/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f9b41642850>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn..model_fn at 0x7f9b41640b90>) includes params argument, but params are not passed to Estimator.
W0527 17:36:23.867816 140306570090304 model_fn.py:630] Estimator's model_fn (<function create_model_fn..model_fn at 0x7f9b41640b90>) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:Not using Distribute Coordinator.
I0527 17:36:23.868153 140306570090304 estimator_training.py:186] Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
I0527 17:36:23.868317 140306570090304 training.py:612] Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
I0527 17:36:23.868552 140306570090304 training.py:700] Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
W0527 17:36:23.873242 140306570090304 deprecation.py:323] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.
W0527 17:36:23.883456 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.
W0527 17:36:23.883702 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.
Traceback (most recent call last):
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/label_map_util.py", line 142, in load_labelmap
text_format.Merge(label_map_string, label_map)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 702, in Merge
allow_unknown_field=allow_unknown_field)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 770, in MergeLines
return parser.MergeLines(lines, message)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 795, in MergeLines
self._ParseOrMerge(lines, message)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 817, in _ParseOrMerge
self._MergeField(tokenizer, message)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 885, in _MergeField
name = tokenizer.ConsumeIdentifierOrNumber()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 1353, in ConsumeIdentifierOrNumber
raise self.ParseError('Expected identifier or number, got %s.' % result)
google.protobuf.text_format.ParseError: 1:1 : ''item {': Expected identifier or number, got 'item {.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "model_main.py", line 109, in
tf.app.run()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 367, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1158, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1185, in _train_model_default
input_fn, ModeKeys.TRAIN))
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1022, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1113, in _call_input_fn
return input_fn(**kwargs)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/inputs.py", line 504, in _train_input_fn
params=params)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/inputs.py", line 607, in train_input
batch_size=params['batch_size'] if params else train_config.batch_size)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py", line 130, in build
num_additional_channels=input_reader_config.num_additional_channels)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py", line 319, in init
default_value=''),
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py", line 64, in init
label_map_proto_file, use_display_name=False)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/label_map_util.py", line 172, in get_label_map_dict
label_map = load_labelmap(label_map_path_or_proto)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/label_map_util.py", line 144, in load_labelmap
label_map.ParseFromString(label_map_string)
TypeError: a bytes-like object is required, not 'str'
additional: I used coco_to_tfrecord.py to create tfrecords which does not required any label_map.pbtxt and and labels are in the form of polygons.
MousamSangwan
commented
4 years ago
Hi, I am a beginner so please help me out with this. I am running this command to train a mask model but it gives me error no matter whatever I changed. Here are some details:
custom code: Nope
Command: python model_main.py --logtostderr --model_dir=/home/mousam/Downloads/Dogs/model/ --pipeline_config_path=/home/mousam/.keras/datasets/mask_rcnn_inception_resnet_v2_atrous_coco_2018_01_28/pipeline.config
error/log: /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) WARNING:tensorflow: The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see:
WARNING:tensorflow:From model_main.py:109: The name tf.app.run is deprecated. Please use tf.compat.v1.app.run instead.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.
W0527 17:36:23.862397 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:102: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.
W0527 17:36:23.866144 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/model_lib.py:628: The name tf.logging.warning is deprecated. Please use tf.compat.v1.logging.warning instead.
WARNING:tensorflow:Forced number of epochs for all eval validations to be 1. W0527 17:36:23.866272 140306570090304 model_lib.py:629] Forced number of epochs for all eval validations to be 1. WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.
W0527 17:36:23.866388 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/config_util.py:488: The name tf.logging.info is deprecated. Please use tf.compat.v1.logging.info instead.
INFO:tensorflow:Maybe overwriting train_steps: None I0527 17:36:23.866481 140306570090304 config_util.py:488] Maybe overwriting train_steps: None INFO:tensorflow:Maybe overwriting use_bfloat16: False I0527 17:36:23.866568 140306570090304 config_util.py:488] Maybe overwriting use_bfloat16: False INFO:tensorflow:Maybe overwriting sample_1_of_n_eval_examples: 1 I0527 17:36:23.866660 140306570090304 config_util.py:488] Maybe overwriting sample_1_of_n_eval_examples: 1 INFO:tensorflow:Maybe overwriting eval_num_epochs: 1 I0527 17:36:23.866752 140306570090304 config_util.py:488] Maybe overwriting eval_num_epochs: 1 INFO:tensorflow:Maybe overwriting load_pretrained: True I0527 17:36:23.866844 140306570090304 config_util.py:488] Maybe overwriting load_pretrained: True INFO:tensorflow:Ignoring config override key: load_pretrained I0527 17:36:23.866931 140306570090304 config_util.py:498] Ignoring config override key: load_pretrained WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered.model_fn at 0x7f9b41640b90>) includes params argument, but params are not passed to Estimator.
W0527 17:36:23.867816 140306570090304 model_fn.py:630] Estimator's model_fn (<function create_model_fn..model_fn at 0x7f9b41640b90>) includes params argument, but params are not passed to Estimator.
INFO:tensorflow:Not using Distribute Coordinator.
I0527 17:36:23.868153 140306570090304 estimator_training.py:186] Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
I0527 17:36:23.868317 140306570090304 training.py:612] Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
I0527 17:36:23.868552 140306570090304 training.py:700] Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 600.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
W0527 17:36:23.873242 140306570090304 deprecation.py:323] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/training/training_util.py:236: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.
eval_on_train_input_config.num_epochs= 0. Overwritingnum_epochsto 1. W0527 17:36:23.867132 140306570090304 model_lib.py:645] Expected number of evaluation epochs is 1, but instead encounteredeval_on_train_input_config.num_epochs= 0. Overwritingnum_epochsto 1. INFO:tensorflow:create_estimator_and_inputs: use_tpu False, export_to_tpu False I0527 17:36:23.867237 140306570090304 model_lib.py:680] create_estimator_and_inputs: use_tpu False, export_to_tpu False INFO:tensorflow:Using config: {'_model_dir': '/home/mousam/Downloads/Dogs/model/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true graph_options { rewrite_options { meta_optimizer_iterations: ONE } } , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f9b41642850>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1} I0527 17:36:23.867632 140306570090304 estimator.py:209] Using config: {'_model_dir': '/home/mousam/Downloads/Dogs/model/', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true graph_options { rewrite_options { meta_optimizer_iterations: ONE } } , '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f9b41642850>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1} WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.W0527 17:36:23.883456 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:182: The name tf.FixedLenFeature is deprecated. Please use tf.io.FixedLenFeature instead.
WARNING:tensorflow:From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.
W0527 17:36:23.883702 140306570090304 deprecation_wrapper.py:119] From /home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py:197: The name tf.VarLenFeature is deprecated. Please use tf.io.VarLenFeature instead.
Traceback (most recent call last): File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/label_map_util.py", line 142, in load_labelmap text_format.Merge(label_map_string, label_map) File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 702, in Merge allow_unknown_field=allow_unknown_field) File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 770, in MergeLines return parser.MergeLines(lines, message) File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 795, in MergeLines self._ParseOrMerge(lines, message) File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 817, in _ParseOrMerge self._MergeField(tokenizer, message) File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 885, in _MergeField name = tokenizer.ConsumeIdentifierOrNumber() File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/google/protobuf/text_format.py", line 1353, in ConsumeIdentifierOrNumber raise self.ParseError('Expected identifier or number, got %s.' % result) google.protobuf.text_format.ParseError: 1:1 : ''item {': Expected identifier or number, got 'item {.
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "model_main.py", line 109, in
tf.app.run()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "model_main.py", line 105, in main
tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 473, in train_and_evaluate
return executor.run()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 613, in run
return self.run_local()
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/training.py", line 714, in run_local
saving_listeners=saving_listeners)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 367, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1158, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1185, in _train_model_default
input_fn, ModeKeys.TRAIN))
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1022, in _get_features_and_labels_from_input_fn
self._call_input_fn(input_fn, mode))
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 1113, in _call_input_fn
return input_fn(**kwargs)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/inputs.py", line 504, in _train_input_fn
params=params)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/inputs.py", line 607, in train_input
batch_size=params['batch_size'] if params else train_config.batch_size)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/builders/dataset_builder.py", line 130, in build
num_additional_channels=input_reader_config.num_additional_channels)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py", line 319, in init
default_value=''),
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/data_decoders/tf_example_decoder.py", line 64, in init
label_map_proto_file, use_display_name=False)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/label_map_util.py", line 172, in get_label_map_dict
label_map = load_labelmap(label_map_path_or_proto)
File "/home/mousam/anaconda3/envs/tensorflow_train/lib/python3.7/site-packages/object_detection/utils/label_map_util.py", line 144, in load_labelmap
label_map.ParseFromString(label_map_string)
TypeError: a bytes-like object is required, not 'str'
Some Screenshots to help you out
Please Let me know if you want any other info