Traceback (most recent call last): File "object_detection/train.py", line 184, in <module> tf.app.run() File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "object_detection/train.py", line 180, in main graph_hook_fn=graph_rewriter_fn) File "/media/luo/cs/master/models/research/object_detection/trainer.py", line 274, in train train_config.prefetch_queue_capacity, data_augmentation_options) File "/media/luo/cs/master/models/research/object_detection/trainer.py", line 59, in create_input_queue tensor_dict = create_tensor_dict_fn() File "object_detection/train.py", line 121, in get_next dataset_builder.build(config)).get_next() File "/media/luo/cs/master/models/research/object_detection/builders/dataset_builder.py", line 186, in build process_fn, config.input_path[:], input_reader_config) File "/media/luo/cs/master/models/research/object_detection/utils/dataset_util.py", line 141, in read_dataset sloppy=config.shuffle)) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 960, in apply dataset = transformation_func(self) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/data/python/ops/interleave_ops.py", line 76, in _apply_fn buffer_output_elements, prefetch_input_elements) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/readers.py", line 163, in __init__ self._map_func.add_to_graph(ops.get_default_graph()) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 488, in add_to_graph self._create_definition_if_needed() File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 321, in _create_definition_if_needed self._create_definition_if_needed_impl() File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 338, in _create_definition_if_needed_impl outputs = self._func(*inputs) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/readers.py", line 151, in tf_map_func dataset = map_func(nested_args) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/readers.py", line 244, in __init__ filenames = ops.convert_to_tensor(filenames, dtype=dtypes.string) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 950, in convert_to_tensor as_ref=False) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1040, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 883, 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)'
进度总结(About model servering)
完整地将tensorflow的目标检测API安装,配置。
之后标注自己的数据,将其转换为tfrecord。
并加载预训练好的模型继续训练。
但是出了一个bug:
Traceback (most recent call last): File "object_detection/train.py", line 184, in <module> tf.app.run() File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "object_detection/train.py", line 180, in main graph_hook_fn=graph_rewriter_fn) File "/media/luo/cs/master/models/research/object_detection/trainer.py", line 274, in train train_config.prefetch_queue_capacity, data_augmentation_options) File "/media/luo/cs/master/models/research/object_detection/trainer.py", line 59, in create_input_queue tensor_dict = create_tensor_dict_fn() File "object_detection/train.py", line 121, in get_next dataset_builder.build(config)).get_next() File "/media/luo/cs/master/models/research/object_detection/builders/dataset_builder.py", line 186, in build process_fn, config.input_path[:], input_reader_config) File "/media/luo/cs/master/models/research/object_detection/utils/dataset_util.py", line 141, in read_dataset sloppy=config.shuffle)) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py", line 960, in apply dataset = transformation_func(self) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/data/python/ops/interleave_ops.py", line 76, in _apply_fn buffer_output_elements, prefetch_input_elements) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/readers.py", line 163, in __init__ self._map_func.add_to_graph(ops.get_default_graph()) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 488, in add_to_graph self._create_definition_if_needed() File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 321, in _create_definition_if_needed self._create_definition_if_needed_impl() File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/function.py", line 338, in _create_definition_if_needed_impl outputs = self._func(*inputs) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/readers.py", line 151, in tf_map_func dataset = map_func(nested_args) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/data/ops/readers.py", line 244, in __init__ filenames = ops.convert_to_tensor(filenames, dtype=dtypes.string) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 950, in convert_to_tensor as_ref=False) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1040, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/home/luo/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 883, 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)'
明天我继续修改