fast-yolo4/3rdparty/opencv/inc/opencv2/stitching/detail/blenders.hpp
2024-09-25 09:43:03 +08:00

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#ifndef OPENCV_STITCHING_BLENDERS_HPP
#define OPENCV_STITCHING_BLENDERS_HPP
#if defined(NO)
# warning Detected Apple 'NO' macro definition, it can cause build conflicts. Please, include this header before any Apple headers.
#endif
#include "opencv2/core.hpp"
#include "opencv2/core/cuda.hpp"
namespace cv {
namespace detail {
//! @addtogroup stitching_blend
//! @{
/** @brief Base class for all blenders.
Simple blender which puts one image over another
*/
class CV_EXPORTS_W Blender
{
public:
virtual ~Blender() {}
enum { NO, FEATHER, MULTI_BAND };
CV_WRAP static Ptr<Blender> createDefault(int type, bool try_gpu = false);
/** @brief Prepares the blender for blending.
@param corners Source images top-left corners
@param sizes Source image sizes
*/
CV_WRAP virtual void prepare(const std::vector<Point> &corners, const std::vector<Size> &sizes);
/** @overload */
CV_WRAP virtual void prepare(Rect dst_roi);
/** @brief Processes the image.
@param img Source image
@param mask Source image mask
@param tl Source image top-left corners
*/
CV_WRAP virtual void feed(InputArray img, InputArray mask, Point tl);
/** @brief Blends and returns the final pano.
@param dst Final pano
@param dst_mask Final pano mask
*/
CV_WRAP virtual void blend(CV_IN_OUT InputOutputArray dst,CV_IN_OUT InputOutputArray dst_mask);
protected:
UMat dst_, dst_mask_;
Rect dst_roi_;
};
/** @brief Simple blender which mixes images at its borders.
*/
class CV_EXPORTS_W FeatherBlender : public Blender
{
public:
CV_WRAP FeatherBlender(float sharpness = 0.02f);
CV_WRAP float sharpness() const { return sharpness_; }
CV_WRAP void setSharpness(float val) { sharpness_ = val; }
CV_WRAP void prepare(Rect dst_roi) CV_OVERRIDE;
CV_WRAP void feed(InputArray img, InputArray mask, Point tl) CV_OVERRIDE;
CV_WRAP void blend(InputOutputArray dst, InputOutputArray dst_mask) CV_OVERRIDE;
//! Creates weight maps for fixed set of source images by their masks and top-left corners.
//! Final image can be obtained by simple weighting of the source images.
CV_WRAP Rect createWeightMaps(const std::vector<UMat> &masks, const std::vector<Point> &corners,
CV_IN_OUT std::vector<UMat> &weight_maps);
private:
float sharpness_;
UMat weight_map_;
UMat dst_weight_map_;
};
inline FeatherBlender::FeatherBlender(float _sharpness) { setSharpness(_sharpness); }
/** @brief Blender which uses multi-band blending algorithm (see @cite BA83).
*/
class CV_EXPORTS_W MultiBandBlender : public Blender
{
public:
CV_WRAP MultiBandBlender(int try_gpu = false, int num_bands = 5, int weight_type = CV_32F);
CV_WRAP int numBands() const { return actual_num_bands_; }
CV_WRAP void setNumBands(int val) { actual_num_bands_ = val; }
CV_WRAP void prepare(Rect dst_roi) CV_OVERRIDE;
CV_WRAP void feed(InputArray img, InputArray mask, Point tl) CV_OVERRIDE;
CV_WRAP void blend(CV_IN_OUT InputOutputArray dst, CV_IN_OUT InputOutputArray dst_mask) CV_OVERRIDE;
private:
int actual_num_bands_, num_bands_;
std::vector<UMat> dst_pyr_laplace_;
std::vector<UMat> dst_band_weights_;
Rect dst_roi_final_;
bool can_use_gpu_;
int weight_type_; //CV_32F or CV_16S
#if defined(HAVE_OPENCV_CUDAARITHM) && defined(HAVE_OPENCV_CUDAWARPING)
std::vector<cuda::GpuMat> gpu_dst_pyr_laplace_;
std::vector<cuda::GpuMat> gpu_dst_band_weights_;
std::vector<Point> gpu_tl_points_;
std::vector<cuda::GpuMat> gpu_imgs_with_border_;
std::vector<std::vector<cuda::GpuMat> > gpu_weight_pyr_gauss_vec_;
std::vector<std::vector<cuda::GpuMat> > gpu_src_pyr_laplace_vec_;
std::vector<std::vector<cuda::GpuMat> > gpu_ups_;
cuda::GpuMat gpu_dst_mask_;
cuda::GpuMat gpu_mask_;
cuda::GpuMat gpu_img_;
cuda::GpuMat gpu_weight_map_;
cuda::GpuMat gpu_add_mask_;
int gpu_feed_idx_;
bool gpu_initialized_;
#endif
};
//////////////////////////////////////////////////////////////////////////////
// Auxiliary functions
void CV_EXPORTS_W normalizeUsingWeightMap(InputArray weight, CV_IN_OUT InputOutputArray src);
void CV_EXPORTS_W createWeightMap(InputArray mask, float sharpness, CV_IN_OUT InputOutputArray weight);
void CV_EXPORTS_W createLaplacePyr(InputArray img, int num_levels, CV_IN_OUT std::vector<UMat>& pyr);
void CV_EXPORTS_W createLaplacePyrGpu(InputArray img, int num_levels, CV_IN_OUT std::vector<UMat>& pyr);
// Restores source image
void CV_EXPORTS_W restoreImageFromLaplacePyr(CV_IN_OUT std::vector<UMat>& pyr);
void CV_EXPORTS_W restoreImageFromLaplacePyrGpu(CV_IN_OUT std::vector<UMat>& pyr);
//! @}
} // namespace detail
} // namespace cv
#endif // OPENCV_STITCHING_BLENDERS_HPP