void incBrightness(void)
{
if(fBrightness < 255)
{
fBrightness++;
calcEdges();
}
}
void decBrightness(void)
{
if(fBrightness > 0)
{
fBrightness--;
calcEdges();
}
}
void initDevice(void)
{
// Init randomizer
srand();
// Main timer Frames counter
fFrameCounter = 0;
// PWM Counters to null
fPwmLedCounter1 = 0;
fPwmLedCounter2 = 0;
// Inital PWM Values
fPwmLedValue1 = 1;
fPwmLedValue2 = 1;
// Default brightness values
fBrightness = 0;
fCanIncrement = 0;
// Recalc PWM Edges
calcEdges();
}
int main(int argc, char* argv[]) {
if (argc < 2) {
std::cout << "USAGE: program [path_to_image] (width) (height)" << std::endl;
std::cout << " optional optional" << std::endl;
return 0;
}
cv::Mat img = cv::imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE);
if (!img.data){
std::cout << "[ERROR]: loading image" << std::endl;
return 0;
}
int rows = 0;
int cols = 0;
if (argc > 2) {
rows = std::stoi(argv[2]);
if (argc > 3) {
cols = std::stoi(argv[3]);
} else {
cols = rows;
}
} else {
rows = cols = 50;
}
/// jam::StopWatch sw;
/// sw.start();
// let's get to it
img.convertTo(img, CV_32F);
cv::resize(img, img, cv::Size(rows, cols), 0, 0, CV_INTER_AREA);
// get image's edges
cv::Mat edge_angles, edge_strength;
calcEdges(img, edge_angles, edge_strength);
// remove noisy edges
// find a mask of non-noisy edges
const float thresh = optimalThresh(edge_strength) * 2;
cv::Mat bin_img(rows, cols, CV_8U);
cv::threshold(edge_strength, bin_img, thresh, 1, CV_THRESH_BINARY);
bin_img.convertTo(bin_img, CV_8U);
// set the non-noisy edges, and mark the noisy ones
cv::Mat result_angles(rows, cols, CV_32F);
result_angles = NO_EDGE;
edge_angles.copyTo(result_angles, bin_img);
// generate a string out of edges
std::string result = img2ascii(result_angles);
// print the string
puts(result.c_str());
/// sw.measure();
/// std::cout << sw.asMilliseconds() << std::endl;
/*
cv::namedWindow("debug", CV_WINDOW_NORMAL);
show(img);
show(edge_strength);
show((result_angles + M_PI / 2) * (255 / M_PI));
*/
return 0;
}
