environment：Ubuntu 16.04 python 2.7.12 tensorflow 1.9.0 opencv 4.0 GPU：Tesla P100-PCIE-16GB *4

quesiton: when i run the training,there is no result and no error,Always like this，why? ask for help,thanks.

this is my info: t93@t93:~/liukui/tensorflow_PSENet$ python train.py --gpu_list=0,1,2,3 --input_size=8 --batch_size_per_gpu=1 --training_data_path=/home/t93/liukui/tensorflow_PSENet/data/train_data/ --learning_rate=0.01 DEBUG:matplotlib:CACHEDIR=/home/t93/.cache/matplotlib DEBUG:matplotlib.font_manager:Using fontManager instance from /home/t93/.cache/matplotlib/fontList.json DEBUG:matplotlib.backends:backend TkAgg version unknown ('resnet_v1_50/block1', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(256)])) ('resnet_v1_50/block2', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(512)])) ('resnet_v1_50/block3', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(1024)])) ('resnet_v1_50/block4', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(2048)])) ('resnet_v1_50/block1', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(256)])) ('resnet_v1_50/block2', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(512)])) ('resnet_v1_50/block3', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(1024)])) ('resnet_v1_50/block4', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(2048)])) ('resnet_v1_50/block1', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(256)])) ('resnet_v1_50/block2', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(512)])) ('resnet_v1_50/block3', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(1024)])) ('resnet_v1_50/block4', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(2048)])) ('resnet_v1_50/block1', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(256)])) ('resnet_v1_50/block2', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(512)])) ('resnet_v1_50/block3', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(1024)])) ('resnet_v1_50/block4', TensorShape([Dimension(None), Dimension(None), Dimension(None), Dimension(2048)])) 2019-04-18 08:37:04.457951: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-04-18 08:37:07.624170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 0 with properties: name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285 pciBusID: 0000:01:00.0 totalMemory: 15.89GiB freeMemory: 15.60GiB 2019-04-18 08:37:07.853845: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 1 with properties: name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285 pciBusID: 0000:02:00.0 totalMemory: 15.89GiB freeMemory: 15.60GiB 2019-04-18 08:37:08.093972: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 2 with properties: name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285 pciBusID: 0000:82:00.0 totalMemory: 15.89GiB freeMemory: 15.60GiB 2019-04-18 08:37:08.354169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1392] Found device 3 with properties: name: Tesla P100-PCIE-16GB major: 6 minor: 0 memoryClockRate(GHz): 1.3285 pciBusID: 0000:83:00.0 totalMemory: 15.89GiB freeMemory: 15.60GiB 2019-04-18 08:37:08.357313: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1471] Adding visible gpu devices: 0, 1, 2, 3 2019-04-18 08:37:09.640009: I tensorflow/core/common_runtime/gpu/gpu_device.cc:952] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-04-18 08:37:09.640055: I tensorflow/core/common_runtime/gpu/gpu_device.cc:958] 0 1 2 3 2019-04-18 08:37:09.640063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: N Y N N 2019-04-18 08:37:09.640067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 1: Y N N N 2019-04-18 08:37:09.640071: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 2: N N N Y 2019-04-18 08:37:09.640075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 3: N N Y N 2019-04-18 08:37:09.641406: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 15123 MB memory) -> physical GPU (device: 0, name: Tesla P100-PCIE-16GB, pci bus id: 0000:01:00.0, compute capability: 6.0) 2019-04-18 08:37:09.642872: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 15123 MB memory) -> physical GPU (device: 1, name: Tesla P100-PCIE-16GB, pci bus id: 0000:02:00.0, compute capability: 6.0) 2019-04-18 08:37:09.643928: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:2 with 15123 MB memory) -> physical GPU (device: 2, name: Tesla P100-PCIE-16GB, pci bus id: 0000:82:00.0, compute capability: 6.0) 2019-04-18 08:37:09.645089: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1084] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:3 with 15123 MB memory) -> physical GPU (device: 3, name: Tesla P100-PCIE-16GB, pci bus id: 0000:83:00.0, compute capability: 6.0) INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/ INFO:root:10048 training images in /home/t93/liukui/tensorflow_PSENet/data/train_data/

Here is the beginning of the training log.

/root/anaconda3/envs/psenet/bin/python3.5 /data3/xxx/tensorflow_PSENet/train.py --gpu_list=0,1 --input_size=512 --batch_size_per_gpu=4 --checkpoint_path=./resnet_v1_50/ --training_data_path=./icdar2017rctw_train_v1.2/train/ DEBUG:matplotlib:$HOME=/root DEBUG:matplotlib:CONFIGDIR=/root/.config/matplotlib DEBUG:matplotlib:matplotlib data path: /root/anaconda3/envs/psenet/lib/python3.5/site-packages/matplotlib/mpl-data DEBUG:matplotlib:loaded rc file /root/anaconda3/envs/psenet/lib/python3.5/site-packages/matplotlib/mpl-data/matplotlibrc DEBUG:matplotlib:matplotlib version 3.0.3 DEBUG:matplotlib:interactive is False DEBUG:matplotlib:platform is linux DEBUG:matplotlib:loaded modules: ['email.parser', 'tensorflow.contrib.integrate.python.ops', '_collections_abc', 'tensorflow.python.ops.random_ops', 'pkg_resources.extern.packaging.specifiers', 'numpy.polynomial.hermite', 'tensorflow.contrib.distributions.python.ops.bijectors.conditional_bijector_impl', 'tensorflow.contrib.learn.python.learn.datasets.synthetic', 'cv2.face', 'google.protobuf.internal._api_implementation', 'unittest.main', 'tensorflow.contrib.labeled_tensor.python.ops.sugar', 'tensorflow.python.saved_model.utils', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.reader_source', 'tensorflow.contrib.opt.python.training.moving_average_optimizer', 'tensorflow.contrib.solvers.python.ops.least_squares', 'cv2.ogl', 'cv2.instr', 'google.protobuf.text_format', 'tensorflow.contrib.keras.api.keras.datasets.mnist', 'tensorflow.contrib.linalg.python.ops.linear_operator_full_matrix', '_sitebuiltins', 'tensorflow.python.ops.confusion_matrix', 'tensorflow.contrib.metrics.python.metrics.classification', 'tensorflow.core.protobuf.saved_model_pb2', 'posix', 'tensorflow.python.layers.layers', 'cv2.motempl', 'encodings.unicode_escape', 'numpy.core._multiarray_umath', 'tensorflow.contrib.distributions.python.ops.onehot_categorical', 'tensorflow.python.estimator.export.export_output', 'tensorflow.contrib.learn.python.learn.preprocessing.text', 'tensorflow.python.training.session_manager', 'tensorflow.contrib.linear_optimizer.python.ops.sparse_feature_column', 'tensorflow.python.saved_model.loader_impl', 'tensorflow.contrib.seq2seq.python.ops.dynamic_attention_wrapper', 'tensorflow.contrib.keras.api.keras.datasets', 'google.protobuf.internal.enum_type_wrapper', '_hashlib', 'tensorflow.contrib.slim', 'tensorflow.contrib.input_pipeline.python.ops.input_pipeline_ops', 'tensorflow.python.framework.cpp_shape_inference_pb2', 'tensorflow.contrib.tensorboard.plugins.projector', 'tensorflow.python.saved_model.builder', 'tensorflow.contrib.session_bundle.gc', 'tensorflow.contrib.cloud.python', 'cv2.img_hash', 'tensorflow.contrib.metrics.python.ops.metric_ops', 'numpy.core.shape_base', 'tensorflow.contrib.rnn.python.ops', 'tensorflow.contrib.training.python.training.device_setter', 'tensorflow.contrib.distributions.python.ops.conditional_distribution', 'tensorflow.contrib.solvers.python.ops.linear_equations', 'tensorflow.contrib.linalg.python.ops.linear_operator_udvh_update', 'tensorflow.python.saved_model.main_op_impl', 'matplotlib.colors', 'tensorflow.python.platform.googletest', 'tensorflow.contrib.training.python.training.training', 'unittest.result', 'tensorflow.contrib.distributions.python.ops.bijectors.affine', 'tensorflow.contrib.stat_summarizer', 'string', 'tensorflow.contrib.keras.python.keras.regularizers', 'tensorflow.contrib.keras.api.keras.initializers', 'tensorflow.python.ops.gen_script_ops', 'tensorflow.python.training.adagrad', 'numpy.lib.histograms', 'tensorflow.contrib.util.loader', 'tensorflow.contrib.learn.python.learn.learn_io.pandas_io', 'tensorflow.contrib.distributions.python.ops.bijectors.invert_impl', 'tensorflow.core.framework.variable_pb2', 'b7e078e27f11ed49d55125fdb2fb1324', '_string', 'unittest.loader', 'cv2.structured_light', 'tensorflow.contrib.cudnn_rnn.ops.gen_cudnn_rnn_ops', 'distutils.version', 'tensorflow.contrib.framework.python.framework.experimental', 'tensorflow.python.training.slot_creator', 'tensorflow.contrib.keras.api.keras.optimizers', 'multiprocessing.context', 'tensorflow.contrib.keras.python.keras.metrics', 'numpy.polynomial', 'numpy.testing', 'tensorflow.python.training.coordinator', 'google.protobuf.internal.containers', 'tensorflow.python.ops.functional_ops', 'tensorflow.contrib.opt.python.training.lazy_adam_optimizer', 'tensorflow.contrib.keras.python.keras.utils.data_utils', 'tensorflow.contrib.distributions.python.ops.mvn_linear_operator', 'atexit', '_sysconfigdata', 'tensorflow.contrib.learn.python.learn.estimators.kmeans', 'tensorflow.contrib.distributions.python.ops.dirichlet', 'tensorflow.contrib.tensor_forest.python.constants', 'tensorflow.contrib.specs', 'tensorflow.python.framework.subscribe', '_lzma', 'numpy.lib._iotools', 'tensorflow.contrib.distributions.python.ops.laplace', 'numpy.config', 'linecache', 'tensorflow.contrib.layers.python.layers.feature_column', 'tensorflow.contrib.distributions.python.ops.shape', 'tensorflow.contrib.tfprof', 'tensorflow.contrib.seq2seq.python.ops.decoder', 'tensorflow.contrib.graph_editor', 'tensorflow.python.ops.math_ops', 'functools', 'inspect', 'tensorflow.python.training.training_util', 'tensorflow.core.framework.op_def_pb2', 'numpy.lib.shape_base', 'textwrap', 'decimal', 'tensorflow.contrib.distributions.python', 'tensorflow.python.framework.framework_lib', 'tensorflow.core.framework.types_pb2', 'tensorflow.contrib.keras.python.keras.utils.vis_utils', 'tensorflow.python.ops.nn_ops', 'nets.resnet.resnet_utils', 'tensorflow.contrib.keras.python.keras.callbacks', 'pkg_resources.extern.six.moves.urllib', 'tensorflow.contrib.opt.python', 'tensorflow.python.layers.normalization', 'tensorflow.contrib.keras.api.keras.preprocessing.image', 'tensorflow.contrib.tensorboard.plugins.projector.projector_config_pb2', 'tensorflow.contrib.linalg.python.ops.linear_operator_identity', 'threading', 'tensorflow.python.summary.writer.writer', 'matplotlib.cbook.deprecation', 'tensorflow.contrib.distributions.python.ops.binomial', 'tensorflow.contrib.keras.api.keras.callbacks', '_json', 'tensorflow.contrib.factorization.python.ops', 'tensorflow.contrib.keras.python.keras.utils.generic_utils', '_functools', 'pprint', 'tensorflow.contrib.distributions.python.ops.bijectors.softmax_centered_impl', 'tensorflow.contrib.factorization.python.ops.gen_factorization_ops', 'tensorflow.contrib.learn.python.learn.estimators', 'site', 'numpy.lib.arrayterator', 'tensorflow.python.platform.flags', 'tensorflow', 'numpy.ma', 'tensorflow.contrib.keras.python.keras.layers.advanced_activations', 'tensorflow.contrib.testing.python', 'tensorflow.contrib.distributions.python.ops.normal', 'tensorflow.contrib.keras.python.keras.applications.xception', 'tensorflow.contrib.linalg.python.ops', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.boolean_mask', 'tensorflow.python.ops.math_grad', 'imp', 'tensorflow.contrib.cudnn_rnn.python', 'tensorflow.contrib.learn.python.learn.ops.losses_ops', 'errno', 'tensorflow.contrib.slim.python', 'email.iterators', '_signal', 'tensorflow.contrib.lookup.lookup_ops', 'mp_main', 'numpy.core.numerictypes', 'tensorflow.contrib.distributions.python.ops.student_t', 'tensorflow.python.framework.meta_graph', 'tensorflow.contrib.learn.python.learn.utils.export', '78f3f6833449015a20606668f4590bf9', 'tensorflow.contrib.quantization.python.math_ops', 'google.protobuf.pyext.cpp_message', '_bisect', 'tensorflow.contrib.bayesflow.python.ops.monte_carlo', 'tensorflow.contrib.training.python.training.sequence_queueing_state_saver', 'ctypes._endian', 'opcode', 'tensorflow.python.ops.gen_set_ops', 'tensorflow.core.framework', 'numpy.core.info', 'numpy.version', 'tensorflow.contrib.learn.python.learn.estimators.logistic_regressor', 'pkg_resources.extern.packaging._structures', 'numpy.fft.fftpack_lite', 'tensorflow.core.framework.cost_graph_pb2', '_pickle', '_weakrefset', 'tensorflow.contrib.keras.python.keras.layers.convolutional_recurrent', 'genericpath', 'tensorflow.python.training.adagrad_da', 'email.encoders', '_bootlocale', 'email.utils', 'tensorflow.contrib.keras.python.keras.datasets.imdb', 'tensorflow.core.framework.versions_pb2', 'tensorflow.python.training.proximal_gradient_descent', '_io', 'tensorflow.python.framework.versions', 'tensorflow.python.ops.gen_image_ops', 'sre_compile', 'tensorflow.contrib.rnn.python.ops.core_rnn_cell', 'email._parseaddr', 'builtins', 'tensorflow.contrib.sparsemax', 'tensorflow.contrib.session_bundle', 'numpy.polynomial.polyutils', 'tensorflow.python.ops.variable_scope', 'tensorflow.contrib.lookup', 'tensorflow.contrib.keras.python.keras.preprocessing', 'tensorflow.python.ops.metrics', 'tensorflow.contrib.learn.python.learn.preprocessing.categorical', 'nets.model', 'tensorflow.contrib.bayesflow.python.ops.stochastic_gradient_estimators', 'tensorflow.python.ops.gen_spectral_ops', 'tensorflow.core', 'numpy.lib.stride_tricks', 'matplotlib.cbook', 'tensorflow.contrib.solvers.python', 'tensorflow.contrib.legacy_seq2seq', 'tensorflow.contrib.keras.api.keras.regularizers', 'tensorflow.contrib.specs.python.summaries', 'tensorflow.contrib.session_bundle.constants', 'operator', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.batch', 'tensorflow.contrib.opt.python.training.variable_clipping_optimizer', 'pkg_resources.extern.appdirs', 'tensorflow.python.framework.random_seed', 'numpy.core.defchararray', 'tensorflow.python.saved_model.main_op', 'tensorflow.contrib.keras.python.keras.layers.pooling', 'tensorflow.python.training.basic_loops', 'tensorflow.contrib.learn.python.learn.estimators.dnn', 'tensorflow.contrib.keras.python.keras.layers.merge', 'numpy.core.numeric', 'tensorflow.core.protobuf.debug_pb2', 'numpy.core.memmap', 'tensorflow.contrib.keras.api.keras.preprocessing', 'ssl', 'tensorflow.python.ops.ctc_ops', 'sre_constants', 'cv2.rgbd', 'warnings', 'google.protobuf.internal', 'numpy.linalg.lapack_lite', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.sparsify', 'tensorflow.contrib.tensorboard', 'google.protobuf.internal.type_checkers', 'tensorflow.python.saved_model.tag_constants', 'tensorflow.contrib.distributions.python.ops.operator_pd_full', 'tensorflow.contrib.tensor_forest.python.ops', 'email', 'tensorflow.python.training.monitored_session', 'tensorflow.contrib.learn.python.learn.estimators.dynamic_rnn_estimator', 'reprlib', 'tensorflow.contrib.factorization.python.ops.clustering_ops', 'easydict', '_random', 'tensorflow.contrib.keras.api.keras.applications', 'tensorflow.contrib.keras.python.keras.engine.training', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.unary_transforms', 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'tensorflow.contrib.keras.python.keras.backend', 'tensorflow.contrib.keras.python.keras.applications', 'tensorflow.python.client.device_lib', 'unittest.signals', 'six.moves.urllib.request', 'tensorflow.python.platform', 'tensorflow.contrib.cudnn_rnn.python.ops', 'unittest.mock', 'tensorflow.core.lib.core.error_codes_pb2', 'tensorflow.contrib.input_pipeline.python.ops', 'pkgutil', 'tensorflow.contrib.layers.python.ops.sparse_feature_cross_op', 'tensorflow.contrib.rnn.ops', 'tensorflow.python.ops.gen_parsing_ops', 'tensorflow.python.ops.gen_data_flow_ops', 'cv2.xphoto', 'locale', 'tensorflow.contrib.keras.python.keras', 'tensorflow.python.training.summary_io', 'tensorflow.contrib.keras.python.keras.wrappers.scikit_learn', 'tensorflow.contrib.training.python.training.hparam', 'tensorflow.contrib.layers', 'tensorflow.contrib.sparsemax.python.ops', 'fnmatch', 'tensorflow.python.framework.graph_util_impl', 'tensorflow.contrib.learn.python.learn.learn_io', 'tensorflow.python.ops.clip_ops', 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'tensorflow.contrib.specs.python.params_ops', 'tensorflow.tools', 'tensorflow.python.platform.resource_loader', '_stat', 'numpy.lib.type_check', 'six.moves.urllib.error', 'unittest', 'tensorflow.contrib.training.python.training.tuner', 'tensorflow.contrib.deprecated', 'tensorflow.python.ops.candidate_sampling_ops', '_struct', 'tensorflow.python.ops.losses', 'tensorflow.contrib.keras.api.keras.wrappers.scikit_learn', 'sysconfig', 'tensorflow.python.saved_model.constants', 'tensorflow.python.ops.gen_user_ops', 'tensorflow.contrib.distributions.python.ops.quantized_distribution', 'tensorflow.contrib.keras.python.keras.engine.topology', 'numpy.core._internal', 'tensorflow.contrib.learn.python.learn.estimators.constants', 'numpy.core.machar', 'tensorflow.python.ops.tensor_array_ops', 'numpy._pytesttester', 'tensorflow.contrib.input_pipeline.python', 'tensorflow.contrib.keras.python.keras.datasets', 'tensorflow.contrib.distributions.python.ops.bijectors.softplus', 'tensorflow.contrib.keras.api.keras.models', 'cv2.bgsegm', 'tensorflow.contrib.keras.api.keras.applications.inception_v3', 'tensorflow.python.pywrap_tensorflow_internal', 'tensorflow.contrib.saved_model', 'tensorflow.contrib.keras.api.keras.layers', 'tensorflow.contrib.memory_stats.python', 'tensorflow.contrib.linear_optimizer.python.ops.sdca_ops', 'tensorflow.contrib.learn.python.learn.evaluable', 'tensorflow.contrib.factorization', 'tensorflow.python.framework.graph_io', 'tensorflow.contrib.distributions.python.ops.bijectors.affine_linear_operator', 'tensorflow.contrib.learn.python.learn.estimators.svm', 'numpy.lib.ufunclike', '_frozen_importlib', 'tensorflow.contrib.learn.python.learn.learn_io.dask_io', 'tensorflow.contrib.learn.python.learn.monitors', 'tensorflow.contrib.learn.python.learn.dataframe.queues', 'tensorflow.contrib.layers.python.ops', 'tensorflow.contrib.keras.api.keras.datasets.imdb', 'quopri', 'tensorflow.contrib.crf.python.ops', 'tensorflow.python.ops.nn_grad', 'tensorflow.python.estimator.export.export_lib', 'tensorflow.contrib.distributions.python.ops.bernoulli', 'tensorflow.contrib.metrics.python.metrics', 'encodings.raw_unicode_escape', 'tensorflow.contrib.tfprof.python', 'tensorflow.python.summary.summary_iterator', 'tensorflow.contrib.linalg.python.ops.linear_operator_util', 'numpy.fft', 'tensorflow.contrib.bayesflow.python', 'tensorflow.python.training.queue_runner', 'tensorflow.contrib.tfprof.python.tools.tfprof.pywrap_tensorflow_print_model_analysis_lib', 'tensorflow.contrib.learn.python.learn.basic_session_run_hooks', 'tensorflow.contrib.learn.python.learn.estimators.run_config', 'unittest.runner', 'contextlib', 'pkg_resources', 'tensorflow.python.framework.graph_util', 'gzip', 'tensorflow.contrib.keras.python.keras.optimizers', 'numpy.lib.arraysetops', 'tensorflow.contrib.distributions.python.ops.categorical', 'enum', 'tensorflow.python.ops.gen_logging_ops', 'tensorflow.contrib.distributions.python.ops.bijectors.exp_impl', 'pickle', 'tensorflow.python.ops.summary_ops', 'tensorflow.contrib.layers.python.ops.sparse_ops', 'tensorflow.contrib', 'tensorflow.contrib.util', 'tensorflow.contrib.bayesflow.python.ops.entropy_impl', 'cv2.saliency', 'mpl_toolkits', 'tensorflow.contrib.distributions.python.ops.bijectors.sigmoid_centered_impl', 'tensorflow.contrib.rnn.ops.gen_gru_ops', 'gettext', 'queue', 'tensorflow.python.ops.state_grad', 'tensorflow.contrib.tensor_forest.client.random_forest', 'tensorflow.python.estimator.estimator', 'tensorflow.python.ops.linalg_grad', 'tensorflow.contrib.layers.python.layers', 'tensorflow.python.training.checkpoint_state_pb2', 'tensorflow.contrib.tfprof.python.tools.tfprof.model_analyzer', '_pywrap_tensorflow_internal', 'tensorflow.contrib.learn.python.learn.datasets.mnist', 'numpy.lib.format', 'tensorflow.contrib.labeled_tensor.python', 'tensorflow.contrib.cloud', 'http.client', 'tensorflow.contrib.keras.python.keras.datasets.cifar100', 'tensorflow.python.platform.gfile', 'tensorflow.python.training.moving_averages', 'tensorflow.contrib.bayesflow.python.ops.stochastic_graph_impl', 'tensorflow.core.protobuf.tensorflow_server_pb2', 'tensorflow.contrib.keras.api.keras.applications.vgg19', '_opcode', 'tensorflow.contrib.distributions.python.ops.bijectors.identity', 'tensorflow.contrib.ndlstm.python.lstm1d', 'tensorflow.contrib.learn.python.learn.ops.seq2seq_ops', 'tensorflow.contrib.training.python.training.evaluation', 'email.base64mime', 'tensorflow.contrib.keras.python.keras.layers.noise', 'tensorflow.contrib.training.python.training.hparam_pb2', 'tensorflow.python.ops.state_ops', 'random', 'tensorflow.python.lib.io.tf_record', 'numpy.lib', 'tensorflow.python.estimator.inputs.numpy_io', 'google.protobuf.pyext._message', '_thread', 'cycler', 'tensorflow.contrib.input_pipeline.ops.gen_input_pipeline_ops', 'tensorflow.core.lib', 'tensorflow.python.ops.gen_sparse_ops', 'tensorflow.contrib.keras.python.keras.datasets.boston_housing', 'c25bf247d6a4a71428ea400372969416', 'tensorflow.python.ops.image_ops', 'tensorflow.python.estimator.inputs.queues.feeding_queue_runner', 'tensorflow.contrib.cloud.python.ops.bigquery_reader_ops', '_posixsubprocess', 'tensorflow.contrib.distributions.python.ops.distribution', 'tensorflow.contrib.keras.api.keras.activations', 'tensorflow.python.framework.test_util', 'tensorflow.core.framework.node_def_pb2', 'tensorflow.python.framework.importer', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.in_memory_source', 'matplotlib._version', 'tensorflow.python', 'tensorflow.contrib.keras.python.keras.layers', 'tensorflow.contrib.seq2seq', '_sre', 'plistlib', 'tensorflow.python.ops.logging_ops', 'tensorflow.contrib.factorization.python.ops.gmm', 'pkg_resources._vendor.packaging.about', 'tensorflow.contrib.keras.python.keras.layers.core', 'tensorflow.python.ops.sparse_ops', 'tensorflow.contrib.learn.python.learn.dataframe.transform', 'numpy.core.umath', 'tensorflow.contrib.framework.python.ops.prettyprint_ops', 'tensorflow.python.ops.rnn_cell_impl', 'tensorflow.contrib.keras.api.keras.preprocessing.text', 'distutils', 'tensorflow.contrib.keras.python.keras.layers.local', 'google.protobuf.message', 'tensorflow.contrib.learn.python.learn.estimators.head', 'numpy.ctypeslib', 'email.charset', 'tensorflow.python.ops.variables', 'tensorflow.contrib.tensorboard.plugins', 'google.protobuf.internal.decoder', '78da087da6dda04802f331e8197a652c', 'numpy.core._dtype_ctypes', 'numpy.matrixlib', 'six', 'tensorflow.contrib.nn.python', 'tensorflow.contrib.metrics.python.ops.histogram_ops', 'tensorflow.contrib.learn', 'tensorflow.contrib.learn.python.learn.estimators.linear', 'tensorflow.contrib.graph_editor.reroute', 'json', 'tensorflow.core.framework.device_attributes_pb2', 'tensorflow.python.ops.sets', 'tensorflow.python.training.proximal_adagrad', 'tensorflow.contrib.nn', 'tensorflow.python.ops.control_flow_ops', 'pkg_resources.extern.six', 'traceback', 'tensorflow.python.util.all_util', 'tensorflow.contrib.distributions.python.ops.bijectors.conditional_bijector', 'tensorflow.contrib.keras.python.keras.applications.vgg16', 'tensorflow.contrib.distributions.python.ops.exponential', 'cv2.line_descriptor', 'tensorflow.contrib.training.python.training.feeder', 'utils.data_provider', 'tensorflow.contrib.labeled_tensor.python.ops.core', 'copyreg', 'http', 'numpy.polynomial.laguerre', 'parser', 'unittest.case', 'tensorflow.python.ops.gen_sdca_ops', '_decimal', 'tensorflow.python.framework.registry', 'numpy.globals', 'pkg_resources.py31compat', 'tensorflow.contrib.layers.python.layers.layers', 'tensorflow.python.framework.dtypes', 'tensorflow.contrib.specs.python.specs_ops', 'tensorflow.contrib.tensor_forest.client', 'tensorflow.contrib.graph_editor.transform', 'tensorflow.contrib.rnn.python', 'tensorflow.contrib.bayesflow.python.ops.monte_carlo_impl', 'tensorflow.contrib.seq2seq.python.ops', 'tensorflow.python.ops.rnn', 'tensorflow.contrib.distributions.python.ops.bijectors.sigmoid_impl', 'tensorflow.contrib.bayesflow.python.ops.stochastic_tensor_impl', 'tensorflow.contrib.metrics', 'tensorflow.contrib.linalg.python.ops.linear_operator_composition', 'tensorflow.python.training.learning_rate_decay', 'tensorflow.contrib.image', 'tensorflow.contrib.memory_stats.python.ops', 'tensorflow.tools.tfprof', 'tensorflow.contrib.layers.ops', 'tensorflow.python.ops.template', 'tensorflow.contrib.bayesflow.python.ops.entropy', 'tensorflow.python.ops.losses.losses', 'tensorflow.python.saved_model.signature_constants', 'tensorflow.contrib.metrics.python', 'tensorflow.core.framework.summary_pb2', 'tensorflow.python.summary.writer.event_file_writer', 'tensorflow.contrib.slim.python.slim.data.tfexample_decoder', 'numpy.lib.utils', 'tensorflow.python.util.decorator_utils', 'numpy.core.dtype', 'numpy.compat.inspect', 'tensorflow.contrib.layers.python.layers.regularizers', 'tensorflow.contrib.keras.api.keras.applications.xception', 'tensorflow.contrib.framework.python.framework', 'tensorflow.contrib.copy_graph.python.util', 'tensorflow.python.ops.gen_array_ops', 'tensorflow.contrib.linear_optimizer.python', 'tensorflow.contrib.distributions.python.ops.bijectors.affine_impl', 'tensorflow.python.layers.convolutional', 'tensorflow.contrib.distributions.python.ops.bijectors.power_transform', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.split_mask', 'ctypes.util', 'tensorflow.contrib.labeled_tensor.python.ops.nn', 'tensorflow.contrib.learn.python.learn.estimators.rnn_common', 'tensorflow.contrib.training.python.training.bucket_ops', 'select', 'xml.parsers.expat.errors', 'numpy.compat', 'tensorflow.contrib.learn.python.learn.metric_spec', 'tensorflow.python.layers.pooling', 'tensorflow.contrib.testing.python.framework.fake_summary_writer', 'tensorflow.contrib.memory_stats.python.ops.memory_stats_ops', 'cv2.ppf_match_3d', 'tensorflow.python.ops.array_grad', 'tensorflow.contrib.keras.python.keras.preprocessing.image', 'tensorflow.core.util.event_pb2', 'tensorflow.python.training', 'tensorflow.contrib.factorization.python.ops.gmm_ops', 'tensorflow.contrib.keras.python.keras.layers.wrappers', 'tensorflow.contrib.learn.python.learn.dataframe.tensorflow_dataframe', 'tensorflow.contrib.learn.python.learn.dataframe.transforms.sum', 'tensorflow.contrib.seq2seq.python.ops.basic_decoder', 'tensorflow.python.training.adadelta', 'tensorflow.contrib.quantization', 'numpy.lib.financial', 'tensorflow.contrib.grid_rnn.python.ops.grid_rnn_cell', 'tensorflow.python.training.queue_runner_impl'] DEBUG:matplotlib:CACHEDIR=/root/.cache/matplotlib DEBUG:matplotlib.font_manager:Using fontManager instance from /root/.cache/matplotlib/fontlist-v300.json DEBUG:matplotlib.pyplot:Loaded backend TkAgg version unknown. resnet_v1_50/block1 (?, ?, ?, 256) resnet_v1_50/block2 (?, ?, ?, 512) resnet_v1_50/block3 (?, ?, ?, 1024) resnet_v1_50/block4 (?, ?, ?, 2048) resnet_v1_50/block1 (?, ?, ?, 256) resnet_v1_50/block2 (?, ?, ?, 512) resnet_v1_50/block3 (?, ?, ?, 1024) resnet_v1_50/block4 (?, ?, ?, 2048) 2019-06-16 02:22:46.345406: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2019-06-16 02:22:46.345462: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2019-06-16 02:22:46.345472: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2019-06-16 02:22:46.345480: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2019-06-16 02:22:46.345488: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 2019-06-16 02:22:46.948758: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 0 with properties: name: Tesla P4 major: 6 minor: 1 memoryClockRate (GHz) 1.1135 pciBusID 0000:05:00.0 Total memory: 7.43GiB Free memory: 7.31GiB 2019-06-16 02:22:46.948930: W tensorflow/stream_executor/cuda/cuda_driver.cc:485] creating context when one is currently active; existing: 0xcf23ab0 2019-06-16 02:22:47.529396: I tensorflow/core/common_runtime/gpu/gpu_device.cc:887] Found device 1 with properties: name: Tesla P4 major: 6 minor: 1 memoryClockRate (GHz) 1.1135 pciBusID 0000:81:00.0 Total memory: 7.43GiB Free memory: 7.31GiB 2019-06-16 02:22:47.529478: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 0 and 1 2019-06-16 02:22:47.529496: I tensorflow/core/common_runtime/gpu/gpu_device.cc:779] Peer access not supported between device ordinals 1 and 0 2019-06-16 02:22:47.529522: I tensorflow/core/common_runtime/gpu/gpu_device.cc:908] DMA: 0 1 2019-06-16 02:22:47.529530: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 0: Y N 2019-06-16 02:22:47.529536: I tensorflow/core/common_runtime/gpu/gpu_device.cc:918] 1: N Y 2019-06-16 02:22:47.529550: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla P4, pci bus id: 0000:05:00.0) 2019-06-16 02:22:47.529558: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla P4, pci bus id: 0000:81:00.0) INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:before shrink poly area:24.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part3/image_2117.jpg INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:8034 training images in ./icdar2017rctw_train_v1.2/train/ INFO:root:before shrink poly area:32.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_6929.jpg INFO:root:before shrink poly area:30.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part2/image_1501.jpg INFO:root:before shrink poly area:150.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_7908.jpg INFO:root:before shrink poly area:26.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_7643.jpg 2019-06-16 02:23:09.599360: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:247] PoolAllocator: After 1640 get requests, put_count=1574 evicted_count=1000 eviction_rate=0.635324 and unsatisfied allocation rate=0.710976 2019-06-16 02:23:09.599395: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:259] Raising pool_size_limit from 100 to 110 INFO:root:Step 000000, model loss 0.7630, total loss 1.0419, 1.77 seconds/step, 4.52 examples/second INFO:root:Step 000010, model loss 0.6606, total loss 0.9395, 1.93 seconds/step, 4.14 examples/second 2019-06-16 02:23:31.091535: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:247] PoolAllocator: After 2568 get requests, put_count=2121 evicted_count=1000 eviction_rate=0.471476 and unsatisfied allocation rate=0.57243 2019-06-16 02:23:31.091587: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:259] Raising pool_size_limit from 256 to 281 INFO:root:Step 000020, model loss 0.8125, total loss 1.0914, 1.00 seconds/step, 8.00 examples/second INFO:root:Step 000030, model loss 0.9919, total loss 1.2708, 0.99 seconds/step, 8.06 examples/second 2019-06-16 02:23:50.217105: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:247] PoolAllocator: After 3852 get requests, put_count=3903 evicted_count=1000 eviction_rate=0.256213 and unsatisfied allocation rate=0.261682 2019-06-16 02:23:50.217166: I tensorflow/core/common_runtime/gpu/pool_allocator.cc:259] Raising pool_size_limit from 655 to 720 INFO:root:Step 000040, model loss 0.8503, total loss 1.1292, 1.00 seconds/step, 8.00 examples/second INFO:root:before shrink poly area:14.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_7948.jpg INFO:root:Step 000050, model loss 0.7931, total loss 1.0720, 0.98 seconds/step, 8.14 examples/second INFO:root:before shrink poly area:16.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_677.jpg INFO:root:before shrink poly area:14.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_677.jpg INFO:root:before shrink poly area:14.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_686.jpg INFO:root:Step 000060, model loss 0.8387, total loss 1.1175, 0.99 seconds/step, 8.07 examples/second INFO:root:Step 000070, model loss 0.5866, total loss 0.8655, 0.99 seconds/step, 8.12 examples/second INFO:root:Step 000080, model loss 0.4927, total loss 0.7715, 0.99 seconds/step, 8.05 examples/second INFO:root:before shrink poly area:18.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part2/image_1620.jpg INFO:root:Step 000090, model loss 0.9037, total loss 1.1825, 1.47 seconds/step, 5.45 examples/second INFO:root:before shrink poly area:56.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part5/image_5449.jpg INFO:root:Step 000100, model loss 0.4607, total loss 0.7395, 1.69 seconds/step, 4.74 examples/second INFO:root:Step 000110, model loss 0.5811, total loss 0.8599, 1.88 seconds/step, 4.25 examples/second INFO:root:Step 000120, model loss 0.7551, total loss 1.0339, 1.72 seconds/step, 4.64 examples/second INFO:root:Step 000130, model loss 0.8812, total loss 1.1600, 1.72 seconds/step, 4.64 examples/second INFO:root:Step 000140, model loss 0.4375, total loss 0.7163, 2.16 seconds/step, 3.71 examples/second INFO:root:Step 000150, model loss 0.7385, total loss 1.0172, 2.43 seconds/step, 3.30 examples/second INFO:root:before shrink poly area:58.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part2/image_1006.jpg INFO:root:Step 000160, model loss 0.7277, total loss 1.0064, 2.43 seconds/step, 3.29 examples/second INFO:root:Step 000170, model loss 0.5224, total loss 0.8011, 2.43 seconds/step, 3.29 examples/second INFO:root:Step 000180, model loss 0.9714, total loss 1.2501, 2.43 seconds/step, 3.29 examples/second INFO:root:before shrink poly area:16.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part3/image_2166.jpg INFO:root:Step 000190, model loss 0.5887, total loss 0.8674, 2.43 seconds/step, 3.29 examples/second INFO:root:before shrink poly area:30.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part5/image_4927.jpg INFO:root:Step 000200, model loss 0.6891, total loss 0.9678, 2.45 seconds/step, 3.27 examples/second INFO:root:Step 000210, model loss 0.5563, total loss 0.8350, 2.77 seconds/step, 2.89 examples/second INFO:root:before shrink poly area:26.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part5/image_4695.jpg INFO:root:before shrink poly area:46.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part5/image_4695.jpg INFO:root:Step 000220, model loss 0.5175, total loss 0.7961, 2.61 seconds/step, 3.06 examples/second INFO:root:Step 000230, model loss 0.5861, total loss 0.8648, 2.70 seconds/step, 2.97 examples/second INFO:root:before shrink poly area:24.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:24.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:24.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:12.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:18.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:10.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:10.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:12.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:10.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:10.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:8.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part1/image_883.jpg INFO:root:before shrink poly area:10.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part2/image_1937.jpg INFO:root:Step 000240, model loss 0.9837, total loss 1.2623, 2.71 seconds/step, 2.95 examples/second INFO:root:Step 000250, model loss 0.7516, total loss 1.0302, 2.75 seconds/step, 2.91 examples/second INFO:root:Step 000260, model loss 0.4626, total loss 0.7412, 2.68 seconds/step, 2.98 examples/second INFO:root:Step 000270, model loss 0.8013, total loss 1.0799, 2.74 seconds/step, 2.92 examples/second INFO:root:Step 000280, model loss 0.4171, total loss 0.6957, 2.86 seconds/step, 2.79 examples/second INFO:root:Step 000290, model loss 0.5999, total loss 0.8785, 2.80 seconds/step, 2.85 examples/second INFO:root:before shrink poly area:18.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part5/image_4795.jpg INFO:root:Step 000300, model loss 0.8744, total loss 1.1530, 2.85 seconds/step, 2.80 examples/second INFO:root:before shrink poly area:30.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_6528.jpg INFO:root:before shrink poly area:20.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_6528.jpg INFO:root:before shrink poly area:60.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_6528.jpg INFO:root:before shrink poly area:32.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part6/image_6528.jpg INFO:root:Step 000310, model loss 0.4642, total loss 0.7427, 3.16 seconds/step, 2.53 examples/second INFO:root:Step 000320, model loss 0.7711, total loss 1.0497, 2.82 seconds/step, 2.84 examples/second INFO:root:Step 000330, model loss 0.5749, total loss 0.8535, 2.85 seconds/step, 2.81 examples/second INFO:root:before shrink poly area:14.0 len(shrinked_poly) is 0,image ./icdar2017rctw_train_v1.2/train/part3/image_2001.jpg INFO:root:Step 000340, model loss 0.8024, total loss 1.0809, 2.79 seconds/step, 2.86 examples/second INFO:root:Step 000350, model loss 0.8053, total loss 1.0838, 2.85 seconds/step, 2.81 examples/second INFO:root:Step 000360, model loss 0.5403, total loss 0.8189, 2.88 seconds/step, 2.78 examples/second INFO:root:Step 000370, model loss 0.5011, total loss 0.7796, 2.83 seconds/step, 2.83 examples/second INFO:root:Step 000380, model loss 0.4545, total loss 0.7330, 2.90 seconds/step, 2.76 examples/second

sas@sas-virtual-machine:~/桌面/tensorflow_PSENet-master$ python3 eval.py DEBUG:matplotlib.pyplot:Loaded backend qt5agg version unknown. DEBUG:matplotlib.pyplot:Loaded backend qt5agg version unknown. DEBUG:matplotlib.pyplot:Loaded backend Qt5Agg version unknown. /home/sas/桌面/tensorflow_PSENet-master/pse ll make: 进入目录“/home/sas/桌面/tensorflow_PSENet-master/pse” make: “pse.so”已是最新。 make: 离开目录“/home/sas/桌面/tensorflow_PSENet-master/pse” resnet_v1_50/block1 (?, ?, ?, 256) resnet_v1_50/block2 (?, ?, ?, 512) resnet_v1_50/block3 (?, ?, ?, 1024) resnet_v1_50/block4 (?, ?, ?, 2048) 2019-09-18 20:55:14.255332: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA Traceback (most recent call last): File "eval.py", line 237, in tf.app.run() File "/home/sas/anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "eval.py", line 173, in main model_path = os.path.join(FLAGS.checkpoint_path, os.path.basename(ckpt_state.model_checkpoint_path)) AttributeError: 'NoneType' object has no attribute 'model_checkpoint_path' 这里出现了'NoneType' object has no attribute 'model_checkpoint_path'的问题，不知道是何问题？

相关信息及问题描述： (1) 标签文件的格式为：116,1179,206,1179,206,1207,116,1207,"###"，保存为.txt文件； (2) 标签文件和图片存放在同一个文件夹中； (3) 模型可以正常训练，model loss从训练开始到结束一直为1.0000；total loss 的值最开始大于 1.0000，随着训练的进行，逐渐减小，直至total loss值变为1.0000，当total loss变为1后就不 再发生变化。即训练结束时，model loss和total loss 的值均为1。(上图是训练初期的训练日志 信息)

    使用训练好的模型测试时，无法检测文本，具体情况是输入图片和输出图片完全相同，类似于模型未对输入图片作任何处理，只是原样输出。请问，出现这个问题的原因是什么，我应该从哪些方面着手来解决该问题？

你好： 我下载了模型和工程代码，在Ubuntu16.04、tensorflow-gpu==1.12.0环境下运行：python3 eval.py --test_data_path=./test_input_0.5/ --gpu_list=0 --checkpoint_path=./model/ --output_dir=./output/ 报了如下错误： Traceback (most recent call last): File "eval.py", line 8, in from utils.utils_tool import logger, cfg File "/media/jack/code/clion_kdevelop/OCR/tensorflow_PSENet/utils/utils_tool.py", line 3, in import Queue ImportError: No module named 'Queue'

我尝试通过sudo pip3 install Queue的方式进行安装，但是失败了。查看了整个工程，也没有Queue.py。请问我该如何解决这个问题？谢谢！ @atulak @liuheng92

from .pse import pse_cpp

ModuleNotFoundError: No module named 'pse.pse'

i couldn't use the pse_cpp module ? is compiling pse is necessesary!! i am getting file not found error in subprocess? can anyone please help me

when i test,it appears the following error,please help me: Traceback (most recent call last): File "eval.py", line 235, in tf.app.run() File "/root/.local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "eval.py", line 171, in main model_path = os.path.join(FLAGS.checkpoint_path, os.path.basename(ckpt_state.model_checkpoint_path)) AttributeError: 'NoneType' object has no attribute 'model_checkpoint_path'

首先感谢@liuheng92的awesome work! 有个问题希望请教下： 使用pretrained模型评估的结果为 "precision": 0.7663398692810458, "recall": 0.6774193548387096, "F-mean": 0.7191413237924866 和@liuheng92 展示的结果对不上，recall要差很多，请问下可能的原因是什么？

can anyone tell me how to compile pse ?? where can i find pse_cpp ? i am getting this error when i make the file from cmd

FIND: Parameter format not correct process_begin: CreateProcess(NULL, python3-config --cflags, ...) failed. process_begin: CreateProcess(NULL, python3-config --ldflags, ...) failed. g++ -o pse.so -I include -std=gnu++0x -O3 pse.cpp --shared -fPIC C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind116detail13get_internalsEvENKUlNSt15__exception_ptr13exception_ptrEE_clES2[_ZZN8pybind116detail13get_internalsEvENKUlNSt15__exception_ptr13exception_ptrEE_clES2]+0x16c): undefined reference to _imp__PyErr_SetString' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1118gil_scoped_acquire7dec_refEv[__ZN8pybind1118gil_scoped_acquire7dec_refEv]+0x4e): undefined reference to_imp__PyThread_set_key_value' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0xd7a): undefined reference to _imp__PyTuple_SetItem' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0xeb1): undefined reference to_imp___Py_NoneStruct' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0xf5e): undefined reference to _imp__PyDict_New' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x1010): undefined reference to_imp___Py_NotImplementedStruct' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x147d): undefined reference to _imp__PyTuple_Size' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x14ae): undefined reference to_imp__PyTuple_GetItem' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x14c4): undefined reference to _imp__PyObject_Repr' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x1579): undefined reference to_imp__PyDict_Size' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x15dc): undefined reference to _imp__PyDict_Next' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x168d): undefined reference to_imp__PyObject_CallObject' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x17d2): undefined reference to _imp__PyExc_TypeError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x17dd): undefined reference to_imp__PyErr_SetString' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x1947): undefined reference to _imp__PyErr_Restore' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x19da): undefined reference to_imp__PyExc_TypeError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x19ef): undefined reference to _imp__PyErr_SetString' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x1d6f): undefined reference to_imp__PyExc_SystemError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x1d82): undefined reference to _imp__PyErr_SetString' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_[__ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2_]+0x1e11): undefined reference to_imp__PyExc_TypeError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2[_ZN8pybind1112cpp_function10dispatcherEP7_objectS2_S2]+0x1e1c): undefined reference to _imp__PyErr_SetString' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail8instance15allocate_layoutEv[__ZN8pybind116detail8instance15allocate_layoutEv]+0xed): undefined reference to_imp__PyWeakref_NewRef' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail8instance15allocate_layoutEv[__ZN8pybind116detail8instance15allocate_layoutEv]+0x187): undefined reference to _imp__PyMem_Calloc' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail14clear_instanceEP7_object[__ZN8pybind116detail14clear_instanceEP7_object]+0xee): undefined reference to_imp__PyWeakref_NewRef' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail14clear_instanceEP7_object[__ZN8pybind116detail14clear_instanceEP7_object]+0x68b): undefined reference to _imp__PyObject_ClearWeakRefs' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail14clear_instanceEP7_object[__ZN8pybind116detail14clear_instanceEP7_object]+0x697): undefined reference to_imp___PyObject_GetDictPtr' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind1112cpp_function10initializeIZNS_6detail23all_type_info_get_cacheEP11_typeobjectEUlNS_6handleEE_vJS5_EJEEEvOT_PFT0_DpT1_EDpRKT2_ENUlRNS2_13function_callEE1_4_FUNESJ[_ZZN8pybind1112cpp_function10initializeIZNS_6detail23all_type_info_get_cacheEP11_typeobjectEUlNS_6handleEE_vJS5_EJEEEvOT_PFT0_DpT1_EDpRKT2_ENUlRNS2_13function_callEE1_4_FUNESJ]+0x8a): undefined reference to _imp___Py_NoneStruct' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZZN8pybind1112cpp_function10initializeIZNS_6detail23all_type_info_get_cacheEP11_typeobjectEUlNS_6handleEE_vJS5_EJEEEvOT_PFT0_DpT1_EDpRKT2_ENUlRNS2_13function_callEE1_4_FUNESJ_[__ZZN8pybind1112cpp_function10initializeIZNS_6detail23all_type_info_get_cacheEP11_typeobjectEUlNS_6handleEE_vJS5_EJEEEvOT_PFT0_DpT1_EDpRKT2_ENUlRNS2_13function_callEE1_4_FUNESJ_]+0xfb): undefined reference to_imp___Py_NoneStruct' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x18): undefined reference to _imp__PyFloat_Type' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x2b): undefined reference to_imp__PyType_IsSubtype' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x45): undefined reference to _imp__PyLong_AsLong' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x67): undefined reference to_imp__PyErr_Occurred' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x70): undefined reference to _imp__PyExc_TypeError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x7b): undefined reference to_imp__PyErr_ExceptionMatches' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x85): undefined reference to _imp__PyErr_Clear' C:\Users\Zebi\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0x91): undefined reference to_imp__PyErr_Clear' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0xa5): undefined reference to _imp__PyNumber_Check' C:\Users\Zebi\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZN8pybind116detail11type_casterIivE4loadENS_6handleEb[__ZN8pybind116detail11type_casterIivE4loadENS_6handleEb]+0xb2): undefined reference to_imp__PyNumber_Long' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW[_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW]+0x33c): undefined reference to _imp__PyList_New' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_[__ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_]+0x3c0): undefined reference to_imp__PyLong_FromSsize_t' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW[_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW]+0x4d4): undefined reference to _imp__PyType_IsSubtype' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_[__ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_]+0x551): undefined reference to_imp__PyType_IsSubtype' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW[_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW]+0x633): undefined reference to _imp__PyExc_ValueError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_[__ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_]+0x646): undefined reference to_imp__PyErr_SetString' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW[_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW]+0x64c): undefined reference to _imp__PyErr_Clear' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_[__ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_]+0x658): undefined reference to_imp__PyExc_ValueError' C:\Users\xxx\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW[_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW]+0x66b): undefined reference to _imp__PyErr_SetString' C:\Users\Zebi\AppData\Local\Temp\ccum3Drs.o:pse.cpp:(.text$_ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_[__ZZN8pybind1112cpp_function10initializeIRPFSt6vectorIS2_IiSaIiEESaIS4_EENS_7array_tIiLi1EEENS7_IhLi1EEEiES6_JS8_S9_iEJNS_4nameENS_5scopeENS_7siblingEA38_cNS_3argESH_NS_5arg_vEEEEvOT_PFT0_DpT1_EDpRKT2_ENKUlRNS_6detail13function_callEE1_clESW_]+0x671): undefined reference to_imp__PyErr_Clear' Makefile:10: recipe for target 'pse.so' failed make: *** [pse.so] Error 1

I was going over the evaluation script and noticed that in the end boxes are clipped to the resized image size, which seems strange. Shouldn't text boxes fit the original image size instead?

Thanks for sharing your work ! Looks very neat .

I am trying to load the model provided and test it on my images. I get this error when running the eval.py script. "InvalidArgumentError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Cannot assign a device for operation model_0/split: ...."

Could you please let me know what the issue is?

INFO:root:1000 training images in ./data/Training/ INFO:root:1000 training images in ./data/Training/ INFO:root:1000 training images in ./data/Training/ INFO:root:1000 training images in ./data/Training/ INFO:root:1000 training images in ./data/Training/ INFO:root:1000 training images in ./data/Training/ INFO:root:1000 training images in ./data/Training/

Hello, i try to re-train on my dataset in the same format like your training dataset, and when i training doesn't have an error but my model training loss not changing it's stay at 1.0303 every step.. What's wrong? and what should i do?

g++ -o pse.so -I include -std=c++11 -O3 -I/home/light/anaconda3/include/python3.7m -I/home/light/anaconda3/include/python3.7m -Wno-unused-result -Wsign-compare -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O3 -ffunction-sections -pipe -fdebug-prefix-map=/tmp/build/80754af9/python_1553721932202/work=/usr/local/src/conda/python-3.7.3 -fdebug-prefix-map=/home/light/anaconda3=/usr/local/src/conda-prefix -fuse-linker-plugin -ffat-lto-objects -flto-partition=none -flto -DNDEBUG -fwrapv -O3 -Wall -L/home/light/anaconda3/lib/python3.7/config-3.7m-x86_64-linux-gnu -L/home/light/anaconda3/lib -lpython3.7m -lcrypt -lpthread -ldl -lutil -lrt -lm -Xlinker -export-dynamic pse.cpp --shared -fPIC g++: error: unrecognized command line option ‘-fstack-protector-strong’ g++: error: unrecognized command line option ‘-fno-plt’ Makefile:10: recipe for target 'pse.so' failed make: *** [pse.so] Error 1

tensorflow_PSENet-master/utils/data_provider/data_provider.py", line 87, in load_annoataion return np.array(text_polys, dtype=np.float32), np.array(text_tags, dtype=np.bool) ValueError: setting an array element with a sequence.

由于多线程，导致点个数不一样，如何解决。多谢。