CommonUtility.h

// 常用工具

#ifndef __COMMON_UTILITY_H__
#define __COMMON_UTILITY_H__

#include <CommonDefinition.h>

using namespace cv;
using namespace cv::dnn;

namespace migraphxSamples
{

enum DataLayout
{
    DNN_LAYOUT_UNKNOWN = 0,
    DNN_LAYOUT_ND      = 1, //!< OpenCV data layout for 2D data.
    DNN_LAYOUT_NCHW    = 2, //!< OpenCV data layout for 4D data.
    DNN_LAYOUT_NCDHW   = 3, //!< OpenCV data layout for 5D data.
    DNN_LAYOUT_NHWC    = 4, //!< Tensorflow-like data layout for 4D data.
    DNN_LAYOUT_NDHWC   = 5, //!< Tensorflow-like data layout for 5D data.
    DNN_LAYOUT_PLANAR =
        6, //!< Tensorflow-like data layout, it should only be used at tf or tflite model parsing.
};

enum ImagePaddingMode
{
    DNN_PMODE_NULL = 0, // !< Default. Resize to required input size without extra processing.
    DNN_PMODE_CROP_CENTER = 1, // !< Image will be cropped after resize.
    DNN_PMODE_LETTERBOX   = 2, // !< Resize image to the desired size while preserving the aspect
                               // ratio of original image.
};

struct Image2BlobParams
{
    Image2BlobParams()
        : scalefactor(Scalar::all(1.0)),
          size(Size()),
          mean(Scalar()),
          swapRB(false),
          ddepth(CV_32F),
          datalayout(DNN_LAYOUT_NCHW),
          paddingmode(DNN_PMODE_NULL)
    {
    }

    Image2BlobParams(const Scalar& scalefactor_,
                     const Size& size_,
                     const Scalar& mean_,
                     bool swapRB_,
                     int ddepth_,
                     DataLayout datalayout_,
                     ImagePaddingMode mode_)
        : scalefactor(scalefactor_),
          size(size_),
          mean(mean_),
          swapRB(swapRB_),
          ddepth(ddepth_),
          datalayout(datalayout_),
          paddingmode(mode_)
    {
    }

    Scalar scalefactor; //!< scalefactor multiplier for input image values.
    Size size;          //!< Spatial size for output image.
    Scalar mean;        //!< Scalar with mean values which are subtracted from channels.
    bool swapRB;        //!< Flag which indicates that swap first and last channels
    int ddepth;         //!< Depth of output blob. Choose CV_32F or CV_8U.
    DataLayout
        datalayout; //!< Order of output dimensions. Choose DNN_LAYOUT_NCHW or DNN_LAYOUT_NHWC.
    ImagePaddingMode paddingmode; //!< Image padding mode. @see ImagePaddingMode.
};

void blobFromImagesWithParams(InputArrayOfArrays images_,
                              OutputArray blob_,
                              const Image2BlobParams& param);

} // namespace migraphxSamples

#endif