Giribushan

Caused by op u'CTCBeamSearchDecoder', defined at:
  File "tools/export_crnn_model_script.py", line 266, in <module>
    recognize(image_path=args.image_path, weights_path=args.weights_path)
  File "tools/export_crnn_model_script.py", line 136, in recognize
    decodes, _ = tf.nn.ctc_beam_search_decoder(inputs=net_out, sequence_length=25*np.ones(4), merge_repeated=False)
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/ctc_ops.py", line 277, in ctc_beam_search_decoder
    merge_repeated=merge_repeated))
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_ctc_ops.py", line 73, in ctc_beam_search_decoder
    top_paths=top_paths, merge_repeated=merge_repeated, name=name)
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper

Giribushan

  File "tools/export_crnn_model_script.py", line 136, in recognize
    decodes, _ = tf.nn.ctc_beam_search_decoder(inputs=net_out, sequence_length=25*np.ones(None), merge_repeated=False)
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/ctc_ops.py", line 277, in ctc_beam_search_decoder
    merge_repeated=merge_repeated))
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_ctc_ops.py", line 73, in ctc_beam_search_decoder
    top_paths=top_paths, merge_repeated=merge_repeated, name=name)
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
    op_def=op_def)
  File "/home/sathish/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
    op_def=op_def)

Giribushan

  File "C:\Users\gcheru200\git\CRNN_Tensorflow\call_cloud_service.py", line 59, in <module>
    predict_json(PROJECT_ID, MODEL_NAME, instances = INPUT_DATA_FILE, version=VERSION_NAME)
  File "C:\Users\gcheru200\git\CRNN_Tensorflow\call_cloud_service.py", line 54, in predict_json
    raise RuntimeError(response['error'])
RuntimeError: Prediction failed: Error during model execution: AbortionError(code=StatusCode.INVALID_ARGUMENT, details="NodeDef mentions attr 'dilations' not in Op<name=Conv2D; signature=input:T, filter:T -> output:T; attr=T:type,allowed=[DT_HALF, DT_FLOAT, DT_DOUBLE]; attr=strides:list(int); attr=use_cudnn_on_gpu:bool,default=true; attr=padding:string,allowed=["SAME", "VALID"]; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]>; NodeDef: shadow/conv1/Conv2D = Conv2D[T=DT_FLOAT, _output_shapes=[[1,32,100,64]], data_format="NHWC", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Reshape, shadow/co

Giribushan

sathish@sathish-linux-deep:~/gitRepos/OCR/CRNN_Tensorflow$ python3 tools/train_shadownet.py --dataset_dir /home/sathish/gitRepos/OCR/datasets/SynthText/SynthText/tfrecords_dir/
/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
The dict_path -  /home/sathish/gitRepos/OCR/CRNN_Tensorflow/data/char_dict/char_dict.json
The dict_path -  /home/sathish/gitRepos/OCR/CRNN_Tensorflow/data/char_dict/char_dict.json
The labels read -  SparseTensor(indices=Tensor("ParseSingleExample/ParseSingleExample:0", shape=(?, 1), dtype=int64), values=Tensor("Cast:0", shape=(?,), dtype=int32), dense_shape=Tensor("ParseSingleExample/ParseSingleExample:2", shape=(1,), dtype=int64))
The image names -  Tensor("ParseSingleExample/ParseSingleExample:3", shape=(1,), dtype=string)
2018-06-29

Giribushan

def build_pyramid(net_name, end_points, bilinear=True):
  """build pyramid features from a typical network,
  assume each stage is 2 time larger than its top feature
  Returns:
    returns several endpoints
  """
  pyramid = {}
  if isinstance(net_name, str):
    pyramid_map = _networks_map[net_name]
  else: