Python Convert_arff_emo示例

示例#1

文件： test_predict_emotion.py 项目： Maksymdelta/Emotion_Voice_Recognition_Chainer-

def test_emotion():
    args = parse_args()
    data_path = os.environ["OPENSMILE_ARFF"]
    emolist = args.arff_label
    inputter = Convert_arff_emo(data_path + emolist)
    inputter.input_emo_list()
    first_flag = 1
    for k, v in inputter.arff_emo_list.items():
        inputter.input_data(k, v, first_flag)
        first_flag = 0
    emotion_voice = Predict_Emotion(inputter.x_data, inputter.y_data, args.feature, args.model, args.gpu)
    emotion_voice.method()

示例#2

文件： test_emotion_voice.py 项目： Maksymdelta/Emotion_Voice_Recognition_Chainer-

def test_emotion():
    args = parse_args()
    data_path = os.environ["OPENSMILE_ARFF"]
    emolist = args.arff_label
    inputter = Convert_arff_emo(data_path + emolist)
    inputter.input_emo_list()
    first_flag = 1
    for k, v in inputter.arff_emo_list.items():
        inputter.input_data(k, v, first_flag)
        first_flag = 0
    for i in range(1, 20):
        print("iteration number,", i)
        emotion_voice = Emotion_voice(inputter.x_data, inputter.y_data, i, args.feature, args.gpu)
        emotion_voice.method()

示例#3

def test_emotion():
    args = parse_args()
    data_path = os.environ["OPENSMILE_ARFF"]
    emolist = args.arff_label
    inputter = Convert_arff_emo(data_path + emolist)
    inputter.input_emo_list()
    first_flag = 1
    for k, v in inputter.arff_emo_list.items():
        inputter.input_data(k, v, first_flag)
        first_flag = 0
    emotion_voice = Predict_Emotion(inputter.x_data, inputter.y_data,
                                    args.feature, args.model, args.gpu)
    emotion_voice.method()

示例#4

def test_emotion():
    args = parse_args()
    data_path = os.environ["OPENSMILE_ARFF"]
    emolist = args.arff_label
    inputter = Convert_arff_emo(data_path + emolist)
    inputter.input_emo_list()
    first_flag = 1
    for k, v in inputter.arff_emo_list.items():
        inputter.input_data(k, v, first_flag)
        first_flag = 0
    for i in range(1, 20):
        print("iteration number,", i)
        emotion_voice = Emotion_voice(inputter.x_data, inputter.y_data, i,
                                      args.feature, args.gpu)
        emotion_voice.method()