178 lines
4.2 KiB
C++

#include <cstdio>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;
string focus_pipeline(int capture_width, int capture_height, int framerate,
int flip_method) {
return "nvarguscamerasrc ! "
"video/x-raw(memory:NVMM),width=(int)" +
to_string(capture_width) + ",height=(int)" +
to_string(capture_height) + ",framerate=(fraction)" +
to_string(framerate) +
"/1 ! "
"nvvidconv flip-method=" +
to_string(flip_method) +
" ! "
"video/x-raw,format=(string)BGRx ! "
"videoconvert ! "
"video/x-raw,format=(string)BGR,width=(int)3264,height=(int)2464 ! "
"appsink";
}
int focus(int val) {
int value = (val << 4) & 0x3ff0;
int data1 = (value >> 8) & 0x3f;
int data2 = value & 0xf0;
string data1_s = to_string(data1);
string data2_s = to_string(data2);
string command = ("i2cset -y 6 0x0c " + data1_s + " " + data2_s);
cout << command << endl;
const char *final = command.c_str();
int ch;
FILE *proc = popen(final, "r");
if (proc == NULL) {
puts("Unable to open process");
return (1);
}
while ((ch = fgetc(proc)) != EOF) {
putchar(ch);
}
pclose(proc);
cout << "Focusing done!" << endl;
return 0;
}
Scalar sobel(Mat img) {
Mat img_gray;
Mat img_sobel;
cvtColor(img, img_gray, COLOR_RGB2GRAY);
Sobel(img_gray, img_sobel, CV_16U, 1, 1);
return mean(img_sobel)[0];
}
Scalar laplacian(Mat img) {
Mat img_gray;
Mat img_laplacian;
cvtColor(img, img_gray, COLOR_RGB2GRAY);
Laplacian(img_gray, img_laplacian, CV_16U, 1, 1);
return mean(img_laplacian)[0];
}
int main() {
int capture_width = 3264;
int capture_height = 2464;
int framerate = 21;
int flip_method = 2;
string pipeline =
focus_pipeline(capture_width, capture_height, framerate, flip_method);
cout << "Using pipeline: \n\t" << pipeline << endl;
VideoCapture cap(pipeline, CAP_GSTREAMER);
if (!cap.isOpened()) {
cout << "Failed to open camera." << endl;
return -1;
}
Mat img;
// Take 21 images (1s) to get automatic ISO
for (int i = 0; i < 21; i++) {
cap.read(img);
}
cap.read(img);
try {
imwrite("test.jpg", img);
} catch (const Exception &ex) {
fprintf(stderr, "Exception converting image to JPG format: %s\n",
ex.what());
}
// while (true) {
// if (!cap.read(img)) {
// cout << "Capture read error" << endl;
// break;
// }
// // imshow("CSI Camera", img);
// if (dec_count < 6 && focal_distance < 1000) {
// // Adjust focus by 10
// focus(focal_distance);
// // Calculate image clarity
// auto val = laplacian(img);
// // Find max clarity
// if (val[0] > max_value) {
// max_index = focal_distance;
// max_value = val[0];
// }
// // If clarity starts to decrease
// if (val[0] < last_value) {
// dec_count += 1;
// } else {
// dec_count = 0;
// }
// // Img clarity is reduced by 6 consecutive frames
// if (dec_count < 6) {
// last_value = val[0];
// // Increase focal distance
// focal_distance += 10;
// }
// } else if (!focus_finished) {
// // Adjust focus to best
// focus(max_index);
// focus_finished = true;
// }
// vector<int> compression_params;
// compression_params.push_back(IMWRITE_JPEG_QUALITY);
// if (focus_finished) {
// bool result = false;
// try {
// result = imwrite("current.jpg", img, compression_params);
// } catch (const Exception &ex) {
// fprintf(stderr, "Exception converting image to JPG format: %s\n",
// ex.what());
// }
// if (result) {
// printf("Saved JPG file.\n");
// } else {
// printf("ERROR: Can't save JPG file.\n");
// }
// break;
// }
// // Stop on ESC
// if (keycode == 27) {
// break;
// }
// else if (keycode == 13) {
// max_index = 10;
// max_value = 0;
// last_value = 0;
// dec_count = 0;
// focal_distance = 10;
// focus_finished = false;
// }
// }
cap.release();
return 0;
}