Ejemplos de SimpleMnistDL.get_test_data en Python

Ejemplo n.º 1

def main_test():
    print('[INFO] 解析配置...')
    parser = None
    config = None
    model_path = None

    try:
        args, parser = get_test_args()
        config = process_config(args.config)
        model_path = args.model
    except Exception as e:
        print('[Exception] 配置无效, %s' % e)
        if parser:
            parser.print_help()
        print ('[Exception] 参考: python main_test.py -c configs/simple_mnist_config.json ' \
              '-m simple_mnist.weights.10-0.24.hdf5')
        exit(0)
    # config = process_config('configs/simple_mnist_config.json')

    np.random.seed(47)  # 固定随机数

    print('[INFO] 加载数据...')
    dl = SimpleMnistDL()
    test_data = np.expand_dims(dl.get_test_data()[0][0], axis=0)
    test_label = np.argmax(dl.get_test_data()[1][0])

    print('[INFO] 预测数据...')
    # infer = SimpleMnistInfer("simple_mnist.weights.16-0.19.hdf5", config)
    infer = SimpleMnistInfer(model_path, config)
    infer_label = np.argmax(infer.predict(test_data))
    print('[INFO] 真实Label: %s, 预测Label: %s' % (test_label, infer_label))

    print('[INFO] 预测完成...')

Ejemplo n.º 2

Archivo: main_train.py Proyecto: Patrickctyyx/DL-Project-Template

def test_main():
    print('[INFO] 解析配置...')
    config = process_config('configs/simple_mnist_config.json')

    print('[INFO] 加载数据...')
    dl = SimpleMnistDL()
    test_data = np.expand_dims(dl.get_test_data()[0][0], axis=0)
    test_label = np.argmax(dl.get_test_data()[1][0])

    print('[INFO] 预测数据...')
    infer = SimpleMnistInfer("simple_mnist.weights.10-0.21.hdf5", config)
    infer_label = np.argmax(infer.predict(test_data))
    print('[INFO] 真实Label: %s, 预测Label: %s' % (test_label, infer_label))

    print('[INFO] 预测完成...')

Ejemplo n.º 3

def main_train():
    """
    训练模型

    :return:
    """
    print '[INFO] 解析配置...'

    parser = None
    config = None

    try:
        args, parser = get_train_args()
        config = process_config(args.config)
    except Exception as e:
        print '[Exception] 配置无效, %s' % e
        if parser:
            parser.print_help()
        print '[Exception] 参考: python main_train.py -c configs/simple_mnist_config.json'
        exit(0)
    # config = process_config('configs/simple_mnist_config.json')

    print '[INFO] 加载数据...'
    dl = SimpleMnistDL(config=config)

    print '[INFO] 构造网络...'
    model = SimpleMnistModel(config=config)

    print '[INFO] 训练网络...'
    trainer = SimpleMnistTrainer(
        model=model.model,
        data=[dl.get_train_data(), dl.get_test_data()],
        config=config)
    trainer.train()
    print '[INFO] 训练完成...'

Ejemplo n.º 4

Archivo: main_train.py Proyecto: Patrickctyyx/DL-Project-Template

def main_train():
    """
    训练模型

    :return:
    """
    print('[INFO] 解析配置...')

    parser = None
    config = None

    # try:
    #     args, parser = get_train_args()
    #     config = process_config(args.config)
    # except Exception as e:
    #     print('[Exception] 配置无效, %s' % e)
    #     if parser:
    #         parser.print_help()
    #     print('[Exception] 参考: python main_train.py -c configs/simple_mnist_config.json')
    #     exit(0)
    config = process_config('configs/simple_mnist_config.json')

    np.random.seed(47)  # 固定随机数

    print('[INFO] 加载数据...')
    dl = SimpleMnistDL(config=config)

    print('[INFO] 构造网络...')
    model = SimpleMnistModel(config=config)

    print('[INFO] 训练网络...')
    trainer = SimpleMnistTrainer(
        model=model.model,
        data=[dl.get_train_data(), dl.get_test_data()],
        config=config)
    trainer.train()
    print('[INFO] 训练完成...')