OpenCV图像归一化和标准化问题

[attor]

代码部分：

//图片标准化
    cv::Mat im;
    int64 start = cv::getTickCount();
    int channels = 3;
    int bach_size = ori_image_vec.size();
    cv::resize(ori_image_vec[0], im, cv::Size(new_width, new_height));
    int size = im.rows * im.cols * channels;
    std::vector<std::vector<float>> files(bach_size);
    files[0].resize(size);

    float *image_data = files[0].data();
    float *ptr_image_r = image_data;
    float *ptr_image_g = image_data + size / 3;
    float *ptr_image_b = image_data + size / 3 * 2;
    float mean_b = 0.485;
    float mean_g = 0.456;
    float mean_r = 0.406;
    float std_b = 0.229;
    float std_g = 0.224;
    float std_r = 0.225;

    for (int i = 0; i < im.rows; ++i)
    {
        auto data = im.ptr<uchar>(i);
        for (int j = 0; j < im.cols; j++)
        {
            if (channels > 1)
            {
                *ptr_image_b++ = (static_cast<float>(*data++) / 255.0 - mean_b) / std_b;
                *ptr_image_g++ = (static_cast<float>(*data++) / 255.0 - mean_g) / std_g;
                *ptr_image_r++ = (static_cast<float>(*data++) / 255.0 - mean_r) / std_r;
            }
        }
       
    }
    
    //transpose shape from (h,w,c) to (c,h,w)
    
    for (int k = 0; k < bach_size; k++)
    {

        for (int c = 0; c < channels; ++c)
        {
            for (int i = 0; i < new_height; ++i)
            {
                for (int j = 0; j < new_width; ++j)
                {
                    array.push_back(static_cast<float>(image_data[(i * new_width + j) * 3 + c]));
                }
            }
        }
    }
    
    //expend shape from (c,h,w) to (1,c,h,w)
    Shape image_shape = Shape(bach_size, channels, new_height, new_width);
    NDArray transformed_image = NDArray(image_shape, (*model_p).global_ctx, false);

    transformed_image.SyncCopyFromCPU(array.data(), image_shape.Size());
    NDArray::WaitAll();
    (*model_p).mutex.unlock(); //线程解锁
    return transformed_image;

能帮我看看这部分代码的问题吗，结果与NDArray运算出来的不一样

[attor]

已解决，是前面归一化改变了原来Mat的结构