Python matches_in_corpus примеры использования

Пример #1

# melody_dict_LOADED = {}
# melody_dict_LOADED = pickle.load(open("MelodyDict_1606493916.28312.pkl", "rb"))

melody_dict_LOADED = {}
melody_dict_LOADED = pickle.load(open("melodies.pkl", "rb"))

# print(melody_dict_LOADED)

# print("++++++++++")
# print("**********")

# phrase_dict_LOADED = {}
# phrase_dict_LOADED = pickle.load(open("PhraseDict_1606493916.2988284.pkl", "rb"))

phrase_dict_LOADED = {}
phrase_dict_LOADED = pickle.load(open("phrases.pkl", "rb"))

# print(phrase_dict_LOADED)

# ev_results = prepare_evaluation(full_results, phrase_dict)
# print(pattern_precision_recall(ev_results, melody_dict, phrase_dict, "ed", 'ann1'))
# full_results = distance_measures(melody_dict_LOADED, phrase_dict_LOADED, music_representation='pitch', return_positions=True, scaling=None)
full_results = matches_in_corpus(melody_dict_LOADED,
                                 phrase_dict_LOADED,
                                 measure=SIAM)
ts = time.time()

pickle.dump(
    full_results,
    open('./O2_SIAM_DistanceMeasures_LOADED_{0}.pkl'.format(str(ts)), "wb"))

Пример #2

Файл: O2_LAMODTEMPO_calculate_distances_loaded.py Проект: Sirivasv/MelodicOccurrences

# melody_dict_LOADED = {}
# melody_dict_LOADED = pickle.load(open("MelodyDict_1606493916.28312.pkl", "rb"))

melody_dict_LOADED = {}
melody_dict_LOADED = pickle.load(open("melodies.pkl", "rb"))

# print(melody_dict_LOADED)

# print("++++++++++")
# print("**********")

# phrase_dict_LOADED = {}
# phrase_dict_LOADED = pickle.load(open("PhraseDict_1606493916.2988284.pkl", "rb"))

phrase_dict_LOADED = {}
phrase_dict_LOADED = pickle.load(open("phrases.pkl", "rb"))

# print(phrase_dict_LOADED)

# ev_results = prepare_evaluation(full_results, phrase_dict)
# print(pattern_precision_recall(ev_results, melody_dict, phrase_dict, "ed", 'ann1'))
# full_results = distance_measures(melody_dict_LOADED, phrase_dict_LOADED, music_representation='pitch', return_positions=True, scaling=None)
full_results = matches_in_corpus(melody_dict_LOADED,
                                 phrase_dict_LOADED,
                                 measure=local_aligner_mod_tempo)
ts = time.time()

pickle.dump(
    full_results,
    open('./O2_LAMODTEMPO_DistanceMeasures_LOADED_{0}.pkl'.format(str(ts)),
         "wb"))

Пример #3

Файл: O2_DMS_calculate_distances_loaded.py Проект: Sirivasv/MelodicOccurrences

meta_dict_LOADED = {}
with open('./MetaDict_1606493901.686324.json') as json_file:
  meta_dict_LOADED = json.load(json_file)

# melody_dict_LOADED = {}
# melody_dict_LOADED = pickle.load(open("MelodyDict_1606493916.28312.pkl", "rb"))

melody_dict_LOADED = {}
melody_dict_LOADED = pickle.load(open("melodies.pkl", "rb"))

# print(melody_dict_LOADED)

# print("++++++++++")
# print("**********")

# phrase_dict_LOADED = {}
# phrase_dict_LOADED = pickle.load(open("PhraseDict_1606493916.2988284.pkl", "rb"))

phrase_dict_LOADED = {}
phrase_dict_LOADED = pickle.load(open("phrases.pkl", "rb"))

# print(phrase_dict_LOADED)

# ev_results = prepare_evaluation(full_results, phrase_dict)
# print(pattern_precision_recall(ev_results, melody_dict, phrase_dict, "ed", 'ann1'))
# full_results = distance_measures(melody_dict_LOADED, phrase_dict_LOADED, music_representation='pitch', return_positions=True, scaling=None)
full_results = matches_in_corpus(melody_dict_LOADED, phrase_dict_LOADED, measure=distance_measures)
ts = time.time()

pickle.dump(full_results, open('./O2_DMS_DistanceMeasures_LOADED_{0}.pkl'.format(str(ts)), "wb"))