int main(int argc, char* argv[]) {
if (error(argc, argv)) return 1;
char* index = argv[2];
int oneSide = atoi(argv[4]);
// this finds the length the binary number should be (number of pixels)
int squareSize = pow(oneSide, 2); //==other calc log(size)/log(2) + 1;
double size = pow(2, oneSide*oneSide) -1; // 511 is the max combinations for a 3x3 square of pixels
// if (argv[1]==std::string("-percentage")) {
// index = size*(index/100.0);
// std::cout << index << std::endl;
// }
Image image;
image.Allocate(oneSide);
vector<vector<int> > coordinates(getCoordinates(squareSize));
//only needed for all images solution
// string binString[size];
// for (int i = 0; i<size; i++) {
// binString[i] = convertBin(squareSize, i);
// }
//cant use with large values (bigger than 10)
// std::string aBin = convertBin(squareSize, index);
// right now this only does one of the combinations for a size
drawImage(image, coordinates, index);
std::vector<unsigned char> png = image.getOutput();
saveImage(index, png, oneSide);
std::cout << "finished." << std::endl;
return 0;
}
bool Renderer::TakeScreenshot(const char* directory_name)
{
// Fill our path string
char filename[50];
time_t now = time(nullptr);
strftime(filename, _countof(filename), "SS.%Y.%m.%d.%H.%M.%S.jpg", localtime(&now));
char delimeter[2] = { system::GetPathDelimeter(), '\0' };
size_t size = strlen(directory_name) + strlen(filename) + 2; // 1 is for delimeter, another 1 is for \0
char *full_filename = new char[size];
strcpy(full_filename, directory_name);
strcat(full_filename, delimeter);
strcat(full_filename, filename);
system::CreateDirectory(directory_name); // create directory if it doesn't exist
Image image;
// allocate memory and read pixels
u8 *data = image.Allocate(width_, height_, Image::Format::kRGB8);
ReadPixels(width_, height_, data);
if (!image.Save(full_filename))
{
delete[] full_filename;
return false;
}
delete[] full_filename;
return true;
}
int main(int argc, char* argv[]) {
if (argc != 5) {
std::cerr << "Usage: " << argv[0] << " input.ppm output.ppm distance_field_method visualization_style" << std::endl;
exit(1);
}
// open the input image
Image<Color> input;
if (!input.Load(argv[1])) {
std::cerr << "ERROR: Cannot open input file: " << argv[1] << std::endl;
exit(1);
}
// a place to write the distance values
Image<DistancePixel> distance_image;
distance_image.Allocate(input.Width(),input.Height());
// calculate the distance field (each function returns the maximum distance value)
double max_distance = 0;
if (std::string(argv[3]) == std::string("naive_method")) {
max_distance = NaiveDistanceFieldMethod(input,distance_image);
} else if (std::string(argv[3]) == std::string("improved_method")) {
max_distance = ImprovedDistanceFieldMethod(input,distance_image);
} else if (std::string(argv[3]) == std::string("pq_with_map")) {
max_distance = FastMarchingMethod(input,distance_image);
} else if (std::string(argv[3]) == std::string("pq_with_hash_table")) {
// EXTRA CREDIT: implement FastMarchingMethod with a hash table
} else {
std::cerr << "ERROR: Unknown distance field method: " << argv[3] << std::endl;
exit(1);
}
// convert distance values to a visualization
Image<Color> output;
output.Allocate(input.Width(),input.Height());
for (int i = 0; i < input.Width(); i++) {
for (int j = 0; j < input.Height(); j++) {
double v = distance_image.GetPixel(i,j).getValue();
if (std::string(argv[4]) == std::string("greyscale")) {
output.SetPixel(i,j,GreyBands(v,max_distance*1.01,1));
} else if (std::string(argv[4]) == std::string("grey_bands")) {
output.SetPixel(i,j,GreyBands(v,max_distance,4));
} else if (std::string(argv[4]) == std::string("rainbow")) {
output.SetPixel(i,j,Rainbow(v,max_distance));
} else {
// EXTRA CREDIT: create other visualizations
std::cerr << "ERROR: Unknown visualization style" << std::endl;
exit(0);
}
}
}
// save output
if (!output.Save(argv[2])) {
std::cerr << "ERROR: Cannot save to output file: " << argv[2] << std::endl;
exit(1);
}
return 0;
}