robocar-road/vendor/gocv.io/x/gocv/photo.cpp

123 lines
4.2 KiB
C++
Raw Normal View History

#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();
}
2022-06-09 14:40:23 +00:00
void FastNlMeansDenoising(Mat src, Mat dst) {
cv::fastNlMeansDenoising(*src, *dst);
}
void FastNlMeansDenoisingWithParams(Mat src, Mat dst, float h, int templateWindowSize, int searchWindowSize) {
cv::fastNlMeansDenoising(*src, *dst, h, templateWindowSize, searchWindowSize);
}
void FastNlMeansDenoisingColored(Mat src, Mat dst) {
cv::fastNlMeansDenoisingColored(*src, *dst);
}
void FastNlMeansDenoisingColoredWithParams(Mat src, Mat dst, float h, float hColor, int templateWindowSize, int searchWindowSize) {
cv::fastNlMeansDenoisingColored(*src, *dst, h, hColor, templateWindowSize, searchWindowSize);
}
void EdgePreservingFilter(Mat src, Mat dst, int filter, float sigma_s, float sigma_r) {
cv::edgePreservingFilter(*src, *dst, filter, sigma_s, sigma_r);
}
void DetailEnhance(Mat src, Mat dst, float sigma_s, float sigma_r) {
cv::detailEnhance(*src, *dst, sigma_s, sigma_r);
}
void PencilSketch(Mat src, Mat dst1, Mat dst2, float sigma_s, float sigma_r, float shade_factor) {
cv::pencilSketch(*src, *dst1, *dst2, sigma_s, sigma_r, shade_factor);
}
void Stylization(Mat src, Mat dst, float sigma_s, float sigma_r) {
cv::stylization(*src, *dst, sigma_s, sigma_r);
}
void PhotoInpaint(Mat src, Mat mask, Mat dst, float inpaint_radius, int algorithm_type) {
cv::inpaint(*src, *mask, *dst, inpaint_radius, algorithm_type);
}