UFuncTypeError 数据类型 u32

Question

结节识别模型

此模型将肺部扫描（3D 图像）中的一个小体积（块）作为输入，并将该块分为两类：

Class 0 : Chunk does not contain a nodule
Class 1 : Chunk contains a nodule

我在这部分遇到了这个错误：UFuncTypeError: ufunc 'add' did not contain a loop with signature matching types (dtype(' dtype('

def get_validation_batch（validation_x_ids，validation_y，batch_number）： num_images = len(validation_x_ids)

    count = 0
    start_index = batch_number * FLAGS.batch_size
    end_index = start_index + FLAGS.batch_size
    end_index = num_images if end_index > num_images else end_index
    real_batch_size = end_index - start_index

    validation_x = np.ndarray([real_batch_size, FLAGS.chunk_size, FLAGS.chunk_size, FLAGS.chunk_size, 1], dtype=np.float32)

    for chunk_id in validation_x_ids[start_index : end_index]:
        chunk = np.load(DATA_PATH + chunk_id + '_X.npy').astype(np.float32, copy=False)
        validation_x[count, :, :, :, :] = img_to_rgb(chunk)
        count = count + 1

    return validation_x, validation_y[start_index : end_index]

Answer 1

错误是由于np.load(...) 语句中字符串连接的数据类型不匹配，其中chund_id 是从np.ndarray() 获得的整数，而'_X.npy' 是字符串。

因此，将chunk = np.load(DATA_PATH + chunk_id + '_X.npy').astype(np.float32, copy=False) 行替换为以下行：

chunk = np.load(DATA_PATH + str(chunk_id) + '_X.npy').astype(np.float32, copy=False)

在添加其他字符串之前先将 chunk_id 与 str() 进行类型转换。

参考资料：

• Python: ufunc 'add' did not contain a loop with signature matching types dtype('S21') dtype('S21') dtype('S21')
• ufunc 'add' did not contain loop with signature matching type dtype ('S32') ('S32') ('S32')