https://github.com/olefasting/libaegis
OpenCV pipelines with lambda functions
https://github.com/olefasting/libaegis
cpp20 cpp20-lib cpp20-library opencv
Last synced: about 2 months ago
JSON representation
OpenCV pipelines with lambda functions
- Host: GitHub
- URL: https://github.com/olefasting/libaegis
- Owner: olefasting
- License: mit
- Created: 2021-07-04T12:45:33.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-11-18T10:29:01.000Z (over 4 years ago)
- Last Synced: 2025-02-12T13:55:30.843Z (over 1 year ago)
- Topics: cpp20, cpp20-lib, cpp20-library, opencv
- Language: C++
- Homepage:
- Size: 16.9 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# libaegis
A library for building OpenCV pipelines from lambda functions.
In early development so expect breaking changes.
It currently has no documentation but here is an example:
```c++
#include
#include
#include "aegis/aegis.h"
using namespace aegis;
Reducer create_color_convert_reducer(int code) {
return [code](InputArray input, OutputArray output) {
cv::cvtColor(input, output, code);
};
}
Reducer create_gaussian_blur_reducer(const int* width, const int* height, const int* sigma_x,const int* sigma_y) {
return [width, height, sigma_x, sigma_y](InputArray input, OutputArray output) {
cv::GaussianBlur(input, output, cv::Size(*width, *height),*sigma_x, *sigma_y);
};
}
Reducer create_canny_reducer(const int* threshold_1, const int* threshold_2) {
return [threshold_1, threshold_2](InputArray input, OutputArray output) {
cv::Canny(input, output, *threshold_1, *threshold_2);
};
}
Reducer create_dilate_reducer(const int* width, const int* height) {
return [width, height](InputArray input, OutputArray output) {
auto kernel = cv::getStructuringElement(
cv::MORPH_RECT, cv::Size(*width, *height));
cv::dilate(input, output, kernel);
};
}
Reducer create_erode_reducer(const int* width, const int* height) {
return [width, height](InputArray input, OutputArray output) {
auto kernel = cv::getStructuringElement(
cv::MORPH_RECT, cv::Size(*width, *height));
cv::erode(input, output, kernel);
};
}
int main() {
int gauss_width = 3, gauss_height = 3, gauss_sigma_x = 3, gauss_sigma_y = 0;
int canny_threshold_1 = 25, canny_threshold_2 = 75;
int dilate_width = 5, dilate_height = 5;
int erode_width = 5, erode_height = 5;
auto source = CaptureSource(0);
auto pipeline = Pipeline(source, {
create_color_convert_reducer(cv::COLOR_BGR2GRAY),
create_gaussian_blur_reducer(&gauss_width, &gauss_height, &gauss_sigma_x, &gauss_sigma_y),
create_canny_reducer(&canny_threshold_1, &canny_threshold_2),
create_dilate_reducer(&dilate_width, &dilate_height),
create_erode_reducer(&erode_width, &erode_height),
});
Matrix output;
auto should_quit = false;
while (!should_quit) {
if (pipeline.read(output)) {
cv::imshow("Output", output);
}
cv::namedWindow("Settings", cv::WINDOW_AUTOSIZE);
cv::createTrackbar("Canny Threshold 1", "Settings", &canny_threshold_1, 200);
cv::createTrackbar("Canny Threshold 2", "Settings", &canny_threshold_2, 200);
cv::createTrackbar("Dilate Kernel Width", "Settings", &dilate_width, 20);
cv::createTrackbar("Dilate Kernel Height", "Settings", &dilate_height, 20);
cv::createTrackbar("Erode Kernel Width", "Settings", &erode_width, 20);
cv::createTrackbar("Erode Kernel Height", "Settings", &erode_height, 20);
switch (cv::waitKey(1)) {
case KEY_ESC:
case KEY_Q:
should_quit = true;
}
}
return 0;
}
```
LICENSE MIT
Copyright 2021 Ole A. Sjo Fasting