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Functions274 in github.com/AIChallenger/AI_Challenger_2017

↓ 1 callersFunctionextract_text
(line)
Baselines/translation_and_interpretation_baseline/train/prepare_data/unwrap_xml.py:6
↓ 1 callersMethodfeed_image
Feeds an image and returns the initial model state. See comments at the top of file. Args: sess: TensorFlow Session object. enco
Baselines/caption_baseline/im2txt/im2txt/inference_utils/inference_wrapper_base.py:150
↓ 1 callersMethodgen_pfdict
(self, f)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:70
↓ 1 callersMethodid_to_word
Returns the word string of an integer word id.
Baselines/caption_baseline/im2txt/im2txt/inference_utils/vocabulary.py:73
↓ 1 callersMethodinference_step
Runs one step of inference. Args: sess: TensorFlow Session object. input_feed: A numpy array of shape [batch_size]. state_feed:
Baselines/caption_baseline/im2txt/im2txt/inference_utils/inference_wrapper_base.py:164
↓ 1 callersFunctionjieba_cws
(string)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba_cws.py:6
↓ 1 callersFunctionkeypoint_eval
Evaluate predicted_file and return mAP.
Evaluation/keypoint_eval/keypoint_eval.py:134
↓ 1 callersMethodlcut_for_search
(self, *args, **kwargs)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:335
↓ 1 callersFunctionload_annotations
Convert annotation JSON file.
Evaluation/keypoint_eval/keypoint_eval.py:44
↓ 1 callersFunctionload_dict
(filename)
Baselines/translation_and_interpretation_baseline/train/prepare_data/generate_vocab_from_json.py:9
↓ 1 callersFunctionload_model
()
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/finalseg/__init__.py:23
↓ 1 callersFunctionload_model
()
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:26
↓ 1 callersFunctionload_predictions
Convert prediction JSON file.
Evaluation/keypoint_eval/keypoint_eval.py:68
↓ 1 callersFunctionload_ssd_net
(checkpoint, net_shape=(300, 300), data_format='NHWC')
Baselines/keypoint_baseline/utils/SSD.py:42
↓ 1 callersFunctionload_user_dict
(file, user_dict)
Baselines/translation_and_interpretation_baseline/train/prepare_data/build_dictionary.py:18
↓ 1 callersMethodload_userdict
Load personalized dict to improve detect rate. Parameter: - f : A plain text file contains words and their ocurrences.
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:356
↓ 1 callersFunctionmain
()
Baselines/translation_and_interpretation_baseline/train/prepare_data/build_dictionary.py:30
↓ 1 callersFunctionmain
The evaluator.
Evaluation/keypoint_eval/keypoint_eval.py:173
↓ 1 callersFunctionmain
The evaluator.
Evaluation/caption_eval/run_evaluations.py:52
↓ 1 callersMethodmakesure_userdict_loaded
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:112
↓ 1 callersFunctionmask_to_keypoints
(mask)
Baselines/keypoint_baseline/utils/Keypoints.py:28
↓ 1 callersMethodmethod
(self)
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu.py:48
↓ 1 callersFunctionmy_lcs
Calculates longest common subsequence for a pair of tokenized strings :param string : list of str : tokens from a string split using whitespa
Evaluation/caption_eval/coco_caption/pycxevalcap/rouge/rouge.py:13
↓ 1 callersMethodnext_batch
(self, batch_size, img_size=32)
Baselines/scene_classification_baseline/scene_input.py:59
↓ 1 callersFunctionparse_args
()
Baselines/translation_and_interpretation_baseline/train/prepare_data/build_dictionary.py:11
↓ 1 callersFunctionparse_args
()
Evaluation/interpretation_and_translation_eval/tools/mt-score-main.py:8
↓ 1 callersFunctionprocess_image
(img, tensors_dict, select_threshold=0.5, nms_threshold=.45, net_shape=(300, 300))
Baselines/keypoint_baseline/utils/SSD.py:82
↓ 1 callersMethodrank
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/textrank.py:24
↓ 1 callersMethodratio
(self, option=None)
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu_scorer.py:122
↓ 1 callersMethodreset
Returns the TopN to an empty state.
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:106
↓ 1 callersMethodretest
(self, new_test)
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu_scorer.py:141
↓ 1 callersFunctionsave_crop_images
(img, detection_result, output_dir, filename, thresh=0.5)
Baselines/keypoint_baseline/utils/SSD.py:115
↓ 1 callersMethodscore_ratio
return (bleu, len_ratio) pair
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu_scorer.py:126
↓ 1 callersMethodsetEvalImgs
(self)
Evaluation/caption_eval/coco_caption/pycxevalcap/eval.py:74
↓ 1 callersMethodsetup_global_step
Sets up the global step Tensor.
Baselines/caption_baseline/im2txt/im2txt/show_and_tell_model.py:341
↓ 1 callersMethodsetup_inception_initializer
Sets up the function to restore inception variables from checkpoint.
Baselines/caption_baseline/im2txt/im2txt/show_and_tell_model.py:328
↓ 1 callersMethodsuggest_freq
Suggest word frequency to force the characters in a word to be joined or splitted. Parameter: - segment : The se
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:421
↓ 1 callersFunctiontest
(test_dir, checkpoint_dir='./checkpoint/')
Baselines/scene_classification_baseline/scene.py:109
↓ 1 callersMethodtokenize
Tokenize a sentence and yields tuples of (word, start, end) Parameter: - sentence: the str(unicode) to be segmented.
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:452
↓ 1 callersFunctiontrain
(train_dir, annotations, max_step, checkpoint_dir='./checkpoint/')
Baselines/scene_classification_baseline/scene.py:71
↓ 1 callersFunctionunicode_to_utf8
(d)
Baselines/translation_and_interpretation_baseline/train/prepare_data/generate_vocab_from_json.py:6
↓ 1 callersFunctionviterbi
(obs, states, start_p, trans_p, emit_p)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/finalseg/__init__.py:37
↓ 1 callersFunctionviterbi
(obs, states, start_p, trans_p, emit_p)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/viterbi.py:14
↓ 1 callersMethodword_to_id
Returns the integer id of a word string.
Baselines/caption_baseline/build_tfrecord.py:88
FunctionChineseAnalyzer
(stoplist=STOP_WORDS, minsize=1, stemfn=stem, cachesize=50000)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/analyzer.py:34
Method__call__
(self, text, **kargs)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/analyzer.py:21
Method__cmp__
Compares Captions by score.
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:48
Method__cut_DAG
(self, sentence)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:232
Method__cut_DAG
(self, sentence)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:175
Method__cut_DAG_NO_HMM
(self, sentence)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:209
Method__cut_DAG_NO_HMM
(self, sentence)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:152
Method__cut_all
(self, sentence)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:196
Method__del__
(self)
Evaluation/caption_eval/coco_caption/pycxevalcap/meteor/meteor.py:75
Method__eq__
(self, other)
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:64
Method__eq__
(self, other)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:68
Method__getattr__
(self, name)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:87
Method__hash__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:71
Method__iadd__
add an instance (e.g., from another sentence).
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu_scorer.py:161
Method__iadd__
add an instance (e.g., from another sentence).
Evaluation/caption_eval/coco_caption/pycxevalcap/cider/cider_scorer.py:82
Method__init__
Initializes the vocabulary. Args: vocab: A dictionary of word to word_id. unk_id: Id of the special 'unknown' word.
Baselines/caption_baseline/build_tfrecord.py:79
Method__init__
(self)
Baselines/caption_baseline/build_tfrecord.py:99
Method__init__
Sets the default model hyperparameters.
Baselines/caption_baseline/im2txt/im2txt/configuration.py:26
Method__init__
Sets the default training hyperparameters.
Baselines/caption_baseline/im2txt/im2txt/configuration.py:84
Method__init__
(self)
Baselines/caption_baseline/im2txt/im2txt/inference_wrapper.py:31
Method__init__
Basic setup. Args: config: Object containing configuration parameters. mode: "train", "eval" or "inference". train_inception: W
Baselines/caption_baseline/im2txt/im2txt/show_and_tell_model.py:41
Method__init__
(self)
Baselines/caption_baseline/im2txt/im2txt/inference_utils/inference_wrapper_base.py:59
Method__init__
Initializes the Caption. Args: sentence: List of word ids in the caption. state: Model state after generating the previous word.
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:31
Method__init__
(self, n)
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:72
Method__init__
Initializes the generator. Args: model: Object encapsulating a trained image-to-text model. Must have methods feed_image() and infe
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:114
Method__init__
Initializes the vocabulary. Args: vocab_file: File containing the vocabulary, where the words are the first whitespace-separated to
Baselines/caption_baseline/im2txt/im2txt/inference_utils/vocabulary.py:28
Method__init__
(self, dictionary=DEFAULT_DICT)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:54
Method__init__
(self, idf_path=None)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/tfidf.py:37
Method__init__
(self, idf_path=None)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/tfidf.py:61
Method__init__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/textrank.py:16
Method__init__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/analyse/textrank.py:59
Method__init__
(self, word, flag)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:46
Method__init__
(self, tokenizer=None)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:80
Method__init__
(self, image_path, label_path)
Baselines/scene_classification_baseline/scene_input.py:26
Method__init__
Constructor of Microsoft COCO helper class for reading and visualizing annotations. :param annotation_file (str): location of annotat
Evaluation/caption_eval/coco_caption/pycxtools/coco.py:65
Method__init__
(self, coco, cocoRes)
Evaluation/caption_eval/coco_caption/pycxevalcap/eval.py:9
Method__init__
(self)
Evaluation/caption_eval/coco_caption/pycxevalcap/meteor/meteor.py:17
Method__init__
(self)
Evaluation/caption_eval/coco_caption/pycxevalcap/rouge/rouge.py:41
Method__init__
singular instance
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu_scorer.py:100
Method__init__
(self, n=4)
Evaluation/caption_eval/coco_caption/pycxevalcap/bleu/bleu.py:15
Method__init__
(self, test=None, refs=None, n=4, sigma=6.0)
Evaluation/caption_eval/coco_caption/pycxevalcap/cider/cider.py:18
Method__init__
singular instance
Evaluation/caption_eval/coco_caption/pycxevalcap/cider/cider_scorer.py:58
Method__iter__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:62
Method__lt__
(self, other)
Baselines/caption_baseline/im2txt/im2txt/inference_utils/caption_generator.py:59
Method__lt__
(self, other)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:65
Method__repr__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:67
Method__repr__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:53
Method__repr__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:84
Method__str__
(self)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:56
Function_lcut
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:522
Function_lcut_all
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:518
Function_lcut_for_search
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:534
Function_lcut_for_search_no_hmm
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:538
Function_lcut_internal
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:264
Function_lcut_internal_no_hmm
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/posseg/__init__.py:268
Function_lcut_no_hmm
(s)
Baselines/translation_and_interpretation_baseline/train/prepare_data/jieba/__init__.py:526
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