import absl.app
import numpy as np
import progressbar
import tensorflow as tf
import tensorflow.compat.v1 as tfv1
from ds_ctcdecoder import ctc_beam_search_decoder_batch, Scorer
from six.moves import zip
from util.config import Config, initialize_globals
from util.evaluate_tools import calculate_report
from util.feeding import create_dataset
from util.flags import create_flags, FLAGS
from util.logging import log_error, log_progress, create_progressbar
from util.helpers import check_ctcdecoder_version
check_ctcdecoder_version()
def sparse_tensor_value_to_texts(value, alphabet):
r"""
Given a :class:`tf.SparseTensor` ``value``, return an array of Python strings
representing its values, converting tokens to strings using ``alphabet``.
"""
return sparse_tuple_to_texts(
(value.indices, value.values, value.dense_shape), alphabet)
def sparse_tuple_to_texts(sp_tuple, alphabet):
indices = sp_tuple[0]
values = sp_tuple[1]
results = [[] for _ in range(sp_tuple[2][0])]
from multiprocessing import cpu_count
import absl.app
import progressbar
import tensorflow as tf
import tensorflow.compat.v1 as tfv1
from ds_ctcdecoder import ctc_beam_search_decoder_batch, Scorer
from six.moves import zip
from util.config import Config, initialize_globals
from util.evaluate_tools import calculate_and_print_report
from util.feeding import create_dataset
from util.flags import create_flags, FLAGS
from util.logging import create_progressbar, log_error, log_progress
from util.helpers import check_ctcdecoder_version; check_ctcdecoder_version()
def sparse_tensor_value_to_texts(value, alphabet):
r"""
Given a :class:`tf.SparseTensor` ``value``, return an array of Python strings
representing its values, converting tokens to strings using ``alphabet``.
"""
return sparse_tuple_to_texts((value.indices, value.values, value.dense_shape), alphabet)
def sparse_tuple_to_texts(sp_tuple, alphabet):
indices = sp_tuple[0]
values = sp_tuple[1]
results = [[] for _ in range(sp_tuple[2][0])]
for i, index in enumerate(indices):