trainin run code problem :(

[alperzorlu]

Hello Dear Seraj, ı have problem

(tensorflow1) C:\tensorflow1\models\research\object_detection>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config Traceback (most recent call last): File "train.py", line 51, in from object_detection.builders import model_builder File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\builders\model_builder.py", line 30, in from object_detection.models import faster_rcnn_inception_resnet_v2_feature_extractor as frcnn_inc_res File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\models\faster_rcnn_inception_resnet_v2_feature_extractor.py", line 28, in from nets import inception_resnet_v2 ModuleNotFoundError: No module named 'nets'

pls help me..

[alperzorlu]

Rasha, ı have run to again path slim code is ok , but ı have another problem : (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\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\platform\app.py:126: main (from main) is deprecated and will be removed in a future version. Instructions for updating: Use object_detection/model_main.py. W1027 16:43:21.643006 16784 tf_logging.py:126] From C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\platform\app.py:126: 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:265: 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 W1027 16:43:21.939810 16784 tf_logging.py:126] From C:\tensorflow1\models\research\object_detection\legacy\trainer.py:265: 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 Traceback (most recent call last): File "train.py", line 184, in tf.app.run() File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run _sys.exit(main(argv)) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\tensorflow\python\util\deprecation.py", line 250, 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 279, 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 123, in build num_additional_channels=input_reader_config.num_additional_channels) File "C:\tensorflow1\models\research\object_detection\data_decoders\tf_example_decoder.py", line 297, in init default_value=''), File "C:\tensorflow1\models\research\object_detection\data_decoders\tf_example_decoder.py", line 59, in init label_map_proto_file, use_display_name=False) File "C:\tensorflow1\models\research\object_detection\utils\label_map_util.py", line 164, in get_label_map_dict label_map = load_labelmap(label_map_path) File "C:\tensorflow1\models\research\object_detection\utils\label_map_util.py", line 136, in load_labelmap text_format.Merge(label_map_string, label_map) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 533, in Merge descriptor_pool=descriptor_pool) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 587, in MergeLines return parser.MergeLines(lines, message) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 620, in MergeLines self._ParseOrMerge(lines, message) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 635, in _ParseOrMerge self._MergeField(tokenizer, message) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 735, in _MergeField merger(tokenizer, message, field) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 823, in _MergeMessageField self._MergeField(tokenizer, sub_message) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 735, in _MergeField merger(tokenizer, message, field) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 874, in _MergeScalarField value = tokenizer.ConsumeString() File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 1237, in ConsumeString the_bytes = self.ConsumeByteString() File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 1252, in ConsumeByteString the_list = [self._ConsumeSingleByteString()] File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_format.py", line 1277, in _ConsumeSingleByteString result = text_encoding.CUnescape(text[1:-1]) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_encoding.py", line 103, in CUnescape result = ''.join(_cescape_highbit_to_str[ord(c)] for c in result) File "C:\Users\Alper Z\Anaconda3\envs\tensorflow1\lib\site-packages\google\protobuf\text_encoding.py", line 103, in result = ''.join(_cescape_highbit_to_str[ord(c)] for c in result) IndexError: list index out of range