The main function that segments an entire sentence that contains Chinese characters into seperated words. Parameter:

Print information about the annotation file. :return:

Compute m1_score

Returns True if num_shards is compatible with FLAGS.num_threads.

Get img ids that satisfy given filter conditions. :param imgIds (int array) : get imgs for given ids :param catIds (int array

Returns true if the model is built for training mode.

Pushes a new element.

Wrapper for inserting a bytes Feature into a SequenceExample proto.

Creates a function that restores a model from checkpoint. Args: checkpoint_path: Checkpoint file or a directory containing a checkpoint

Wrapper for inserting an int64 Feature into a SequenceExample proto.

Add a word to dictionary. freq and tag can be omitted, freq defaults to be a calculated value that ensures the word can be c

Creates all ops for training and evaluation.

called by constructor and __iadd__ to avoid creating new instances.

called by constructor and __iadd__ to avoid creating new instances.

Takes a test sentence and returns an object that encapsulates everything that BLEU needs to know about it.

copy the refs.

Extracts all elements from the TopN. This is a destructive operation. The only method that can be called immediately after extract() is reset().

Get ann ids that satisfy given filter conditions. default skips that filter :param imgIds (int array) : get anns for given imgs

Load anns with the specified ids. :param ids (int array) : integer ids specifying anns :return: anns (object array) : l

change by ZhengHe Load result file and return a result api object. :param resFile (str) : file name of result file

Takes a string as input and returns an object that can be given to either cook_refs or cook_test. This is optional: cook_refs and cook_test ca

Takes a string as input and returns an object that can be given to either cook_refs or cook_test. This is optional: cook_refs and cook_test

Decodes and processes an image string. Args: encoded_image: A scalar string Tensor; the encoded image. thread_id: Preprocessing threa

Display the specified annotations. :param anns (array of object): annotations to display :return: None

Wrapper for inserting a bytes FeatureList into a SequenceExample proto.

Creates the vocabulary of word to word_id. The vocabulary is saved to disk in a text file of word counts. The id of each word in the file is i

Wrapper for inserting an int64 FeatureList into a SequenceExample proto.

Loads image metadata from a JSON file and processes the captions. Args: captions_file: Json file containing caption annotations. image

Processes a Chinese caption string into a list of tonenized words. Args: caption: A string caption. Returns: A list of strings; th

Processes a complete data set and saves it as a TFRecord. Args: name: Unique identifier specifying the dataset. images: List of ImageM

Builds a SequenceExample proto for an image-caption pair. Args: image: An ImageMetadata object. decoder: An ImageDecoder object.

Runs beam search caption generation on a single image. Args: sess: TensorFlow Session object. encoded_image: An encoded image string.

Builds the inference graph from a configuration object. Args: model_config: Object containing configuration for building the model. c

Builds the image model subgraph and generates image embeddings. Inputs: self.images Outputs: self.image_embeddings

Input prefetching, preprocessing and batching. Outputs: self.images self.input_seqs self.target_seqs (training and eval only)

Builds the model. Inputs: self.image_embeddings self.seq_embeddings self.target_seqs (training and eval only) self.input_

Builds the model for inference. Args: model_config: Object containing configuration for building the model. Returns: model: The

Builds the input sequence embeddings. Inputs: self.input_seqs Outputs: self.seq_embeddings

Compute ROUGE-L score given one candidate and references for an image :param candidate: str : candidate sentence to be evaluated

Compute term frequency for reference data. This will be used to compute idf (inverse document frequency later) The term frequ

Compute oks matrix (size gtN*pN).

Takes a list of reference sentences for a single segment and returns an object that encapsulates everything that BLEU needs to know about them

Takes a list of reference sentences for a single segment and returns an object that encapsulates everything that BLEU needs to know about them

Takes a test sentence and returns an object that encapsulates everything that BLEU needs to know about it. :param test: list of string : hypot

Global `cut` function that supports parallel processing. Note that this only works using dt, custom POSTokenizer instances are not suppo

Finer segmentation for search engines.

Decode binary mask M encoded via run-length encoding. :param R (object RLE) : run-length encoding of binary mask :return

Perform random distortions on an image. Args: image: A float32 Tensor of shape [height, width, 3] with values in [0, 1). thread_id: Preproc