tri11paragon
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image-gp-6
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silly

main
Brett 2024-08-07 01:14:07 -04:00
parent b5f3748dc3
commit 7980dc9f9f
2 changed files with 45 additions and 7 deletions
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2
CMakeLists.txt
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@ -1,5 +1,5 @@
cmake_minimum_required(VERSION 3.25)
project(image-gp-6 VERSION 0.0.22)
project(image-gp-6 VERSION 0.0.23)
include(FetchContent)

50
include/image_operations.h
View File

@ -102,35 +102,70 @@ inline blt::gp::operation_t dissolve([](const full_image_t& a, const full_image_
return img;
}, "dissolve");
//inline blt::gp::operation_t band_pass([](const full_image_t& a, blt::u64 lp, blt::u64 hp) {
inline blt::gp::operation_t band_pass([](const full_image_t& a, float fa, float fb, blt::u64 size) {
cv::Mat src(IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, const_cast<float*>(a.rgb_data));
full_image_t img{};
std::memcpy(img.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
cv::Mat dst{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, img.rgb_data};
if (size % 2 == 0)
size++;
auto min = fa < fb ? fa : fb;
auto max = fa > fb ? fa : fb;
auto low = cv::getGaussianKernel(static_cast<int>(size), min * ((static_cast<int>(size) - 1) * 0.5 - 1) + 0.8, CV_32F);
auto high = cv::getGaussianKernel(static_cast<int>(size), max * ((static_cast<int>(size) - 1) * 0.5 - 1) + 0.8, CV_32F);
auto func = high - low;
cv::Mat funcY;
cv::transpose(func, funcY);
cv::sepFilter2D(src, dst, 3, func, funcY);
return img;
// if (hp % 2 == 0)
// hp++;
// if (lp % 2 == 0)
// lp++;
//
// auto min = lp < hp ? lp : hp;
// auto max = lp > hp ? lp : hp;
//
// full_image_t hp_blur{};
// full_image_t lp_blur{};
// full_image_t base{};
// full_image_t ret{};
// std::memcpy(hp_blur.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
// std::memcpy(lp_blur.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
// std::memcpy(base.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
//
// cv::Mat hp_blur_mat{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, hp_blur.rgb_data};
// cv::Mat lp_blur_mat{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, lp_blur.rgb_data};
// cv::Mat base_mat{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, base.rgb_data};
// cv::Mat ret_mat{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, ret.rgb_data};
//
// for (blt::u64 i = 1; i < min; i += 2)
// cv::GaussianBlur(hp_blur_mat, hp_blur_mat, cv::Size(static_cast<int>(i), static_cast<int>(i)), 0, 0);
// for (blt::u64 i = 1; i < max; i += 2)
// cv::GaussianBlur(lp_blur_mat, lp_blur_mat, cv::Size(static_cast<int>(i), static_cast<int>(i)), 0, 0);
//
// const static cv::Mat half{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, 0.5f};
// cv::subtract(base_mat, lp_blur_mat, ret_mat);
// cv::add(ret_mat, half, ret_mat);
// cv::subtract(ret_mat, hp_blur_mat, base_mat);
// cv::add(base_mat, half, ret_mat);
//
// return ret;
}, "band_pass");
inline blt::gp::operation_t high_pass([](const full_image_t& a, blt::u64 size) {
full_image_t blur{};
std::memcpy(blur.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
full_image_t base{};
std::memcpy(blur.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
full_image_t ret{};
std::memcpy(blur.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
std::memcpy(base.rgb_data, a.rgb_data, DATA_CHANNELS_SIZE * sizeof(float));
cv::Mat blur_mat{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, blur.rgb_data};
cv::Mat base_mat{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, base.rgb_data};
@ -141,7 +176,10 @@ inline blt::gp::operation_t high_pass([](const full_image_t& a, blt::u64 size) {
for (blt::u64 i = 1; i < size; i += 2)
cv::GaussianBlur(blur_mat, blur_mat, cv::Size(static_cast<int>(i), static_cast<int>(i)), 0, 0);
const static cv::Mat half{IMAGE_SIZE, IMAGE_SIZE, CV_32FC3, 0.5f};
cv::subtract(base_mat, blur_mat, ret_mat);
cv::add(ret_mat, half, ret_mat);
return ret;
}, "high_pass");