87 lines
2.9 KiB
C++
87 lines
2.9 KiB
C++
#include "photo.h"
|
|
|
|
void ColorChange(Mat src, Mat mask, Mat dst, float red_mul, float green_mul, float blue_mul) {
|
|
cv::colorChange(*src, *mask, *dst, red_mul, green_mul, blue_mul);
|
|
}
|
|
|
|
void IlluminationChange(Mat src, Mat mask, Mat dst, float alpha, float beta) {
|
|
cv::illuminationChange(*src, *mask, *dst, alpha, beta);
|
|
}
|
|
|
|
void SeamlessClone(Mat src, Mat dst, Mat mask, Point p, Mat blend, int flags) {
|
|
cv::Point pt(p.x, p.y);
|
|
cv::seamlessClone(*src, *dst, *mask, pt, *blend, flags);
|
|
}
|
|
|
|
void TextureFlattening(Mat src, Mat mask, Mat dst, float low_threshold, float high_threshold, int kernel_size) {
|
|
cv::textureFlattening(*src, *mask, *dst, low_threshold, high_threshold, kernel_size);
|
|
}
|
|
|
|
|
|
void FastNlMeansDenoisingColoredMulti( struct Mats src, Mat dst, int imgToDenoiseIndex, int temporalWindowSize){
|
|
std::vector<cv::Mat> images;
|
|
for (int i = 0; i < src.length; ++i) {
|
|
images.push_back(*src.mats[i]);
|
|
}
|
|
cv::fastNlMeansDenoisingColoredMulti( images, *dst, imgToDenoiseIndex, temporalWindowSize );
|
|
}
|
|
|
|
void FastNlMeansDenoisingColoredMultiWithParams( struct Mats src, Mat dst, int imgToDenoiseIndex, int temporalWindowSize, float h, float hColor, int templateWindowSize, int searchWindowSize ){
|
|
std::vector<cv::Mat> images;
|
|
for (int i = 0; i < src.length; ++i) {
|
|
images.push_back(*src.mats[i]);
|
|
}
|
|
cv::fastNlMeansDenoisingColoredMulti( images, *dst, imgToDenoiseIndex, temporalWindowSize, h, hColor, templateWindowSize, searchWindowSize );
|
|
}
|
|
|
|
MergeMertens MergeMertens_Create() {
|
|
return new cv::Ptr<cv::MergeMertens>(cv::createMergeMertens());
|
|
}
|
|
|
|
MergeMertens MergeMertens_CreateWithParams(float contrast_weight,
|
|
float saturation_weight,
|
|
float exposure_weight) {
|
|
return new cv::Ptr<cv::MergeMertens>(cv::createMergeMertens(
|
|
contrast_weight, saturation_weight, exposure_weight));
|
|
}
|
|
|
|
void MergeMertens_Close(MergeMertens b) {
|
|
delete b;
|
|
}
|
|
|
|
void MergeMertens_Process(MergeMertens b, struct Mats src, Mat dst) {
|
|
std::vector<cv::Mat> images;
|
|
for (int i = 0; i < src.length; ++i) {
|
|
images.push_back(*src.mats[i]);
|
|
}
|
|
(*b)->process(images, *dst);
|
|
}
|
|
|
|
AlignMTB AlignMTB_Create() {
|
|
return new cv::Ptr<cv::AlignMTB>(cv::createAlignMTB(6,4,false));
|
|
}
|
|
|
|
AlignMTB AlignMTB_CreateWithParams(int max_bits, int exclude_range, bool cut) {
|
|
return new cv::Ptr<cv::AlignMTB>(
|
|
cv::createAlignMTB(max_bits, exclude_range, cut));
|
|
}
|
|
|
|
void AlignMTB_Close(AlignMTB b) { delete b; }
|
|
|
|
void AlignMTB_Process(AlignMTB b, struct Mats src, struct Mats *dst) {
|
|
|
|
std::vector<cv::Mat> srcMats;
|
|
for (int i = 0; i < src.length; ++i) {
|
|
srcMats.push_back(*src.mats[i]);
|
|
}
|
|
|
|
std::vector<cv::Mat> dstMats;
|
|
(*b)->process(srcMats, dstMats);
|
|
|
|
dst->mats = new Mat[dstMats.size()];
|
|
for (size_t i = 0; i < dstMats.size() ; ++i) {
|
|
dst->mats[i] = new cv::Mat( dstMats[i] );
|
|
}
|
|
dst->length = (int)dstMats.size();
|
|
}
|