int main(int argc, char** argv) {
int ret = 1;
// definition of command line arguments
TCLAP::CmdLine cmd("waifu2x reimplementation using OpenCV", ' ', "1.0.0");
TCLAP::ValueArg<std::string> cmdInputFile("i", "input_file",
"path to input image file (you should input full path)", true, "",
"string", cmd);
TCLAP::ValueArg<std::string> cmdOutputFile("o", "output_file",
"path to output image file (you should input full path)", false,
"(auto)", "string", cmd);
std::vector<std::string> cmdModeConstraintV;
cmdModeConstraintV.push_back("noise");
cmdModeConstraintV.push_back("scale");
cmdModeConstraintV.push_back("noise_scale");
TCLAP::ValuesConstraint<std::string> cmdModeConstraint(cmdModeConstraintV);
TCLAP::ValueArg<std::string> cmdMode("m", "mode", "image processing mode",
false, "noise_scale", &cmdModeConstraint, cmd);
std::vector<int> cmdNRLConstraintV;
cmdNRLConstraintV.push_back(1);
cmdNRLConstraintV.push_back(2);
TCLAP::ValuesConstraint<int> cmdNRLConstraint(cmdNRLConstraintV);
TCLAP::ValueArg<int> cmdNRLevel("", "noise_level", "noise reduction level",
false, 1, &cmdNRLConstraint, cmd);
TCLAP::ValueArg<double> cmdScaleRatio("", "scale_ratio",
"custom scale ratio", false, 2.0, "double", cmd);
TCLAP::ValueArg<std::string> cmdModelPath("", "model_dir",
"path to custom model directory (don't append last / )", false,
"models_rgb", "string", cmd);
TCLAP::ValueArg<int> cmdNumberOfJobs("j", "jobs",
"number of threads launching at the same time", false, 0, "integer",
cmd);
TCLAP::SwitchArg cmdForceOpenCL("", "force-OpenCL",
"force to use OpenCL on Intel Platform",
cmd, false);
TCLAP::SwitchArg cmdDisableGPU("", "disable-gpu", "disable GPU", cmd, false);
TCLAP::ValueArg<int> cmdBlockSize("", "block_size", "block size",
false, 0, "integer", cmd);
// definition of command line argument : end
// parse command line arguments
try {
cmd.parse(argc, argv);
} catch (std::exception &e) {
std::cerr << e.what() << std::endl;
std::cerr << "Error : cmd.parse() threw exception" << std::endl;
std::exit(-1);
}
std::string outputFileName = cmdOutputFile.getValue();
if (outputFileName == "(auto)") {
outputFileName = cmdInputFile.getValue();
int tailDot = outputFileName.find_last_of('.');
outputFileName.erase(tailDot, outputFileName.length());
outputFileName = outputFileName + "(" + cmdMode.getValue() + ")";
std::string &mode = cmdMode.getValue();
if(mode.find("noise") != mode.npos){
outputFileName = outputFileName + "(Level" + std::to_string(cmdNRLevel.getValue())
+ ")";
}
if(mode.find("scale") != mode.npos){
outputFileName = outputFileName + "(x" + std::to_string(cmdScaleRatio.getValue())
+ ")";
}
outputFileName += ".png";
}
enum W2XConvGPUMode gpu = W2XCONV_GPU_AUTO;
if (cmdDisableGPU.getValue()) {
gpu = W2XCONV_GPU_DISABLE;
} else if (cmdForceOpenCL.getValue()) {
gpu = W2XCONV_GPU_FORCE_OPENCL;
}
W2XConv *converter = w2xconv_init(gpu,
cmdNumberOfJobs.getValue(), 1);
double time_start = getsec();
switch (converter->target_processor.type) {
case W2XCONV_PROC_HOST:
printf("CPU: %s\n",
converter->target_processor.dev_name);
break;
case W2XCONV_PROC_CUDA:
printf("CUDA: %s\n",
converter->target_processor.dev_name);
break;
case W2XCONV_PROC_OPENCL:
printf("OpenCL: %s\n",
converter->target_processor.dev_name);
break;
}
int bs = cmdBlockSize.getValue();
int r = w2xconv_load_models(converter, cmdModelPath.getValue().c_str());
if (r < 0) {
goto error;
}
{
int nrLevel = 0;
if (cmdMode.getValue() == "noise" || cmdMode.getValue() == "noise_scale") {
nrLevel = cmdNRLevel.getValue();
}
double scaleRatio = 1;
if (cmdMode.getValue() == "scale" || cmdMode.getValue() == "noise_scale") {
scaleRatio = cmdScaleRatio.getValue();
}
r = w2xconv_convert_file(converter,
outputFileName.c_str(),
cmdInputFile.getValue().c_str(),
nrLevel,
scaleRatio, bs);
}
if (r < 0) {
goto error;
}
{
double time_end = getsec();
double gflops_proc = (converter->flops.flop/(1000.0*1000.0*1000.0)) / converter->flops.filter_sec;
double gflops_all = (converter->flops.flop/(1000.0*1000.0*1000.0)) / (time_end-time_start);
std::cout << "process successfully done! (all:"
<< (time_end - time_start)
<< "[sec], " << gflops_all << "[GFLOPS], filter:"
<< converter->flops.filter_sec
<< "[sec], " << gflops_proc << "[GFLOPS])" << std::endl;
}
ret = 0;
error:
if (ret != 0) {
char *err = w2xconv_strerror(&converter->last_error);
puts(err);
w2xconv_free(err);
}
w2xconv_fini(converter);
return ret;
}
int main(int argc, char** argv)
{
// definition of command line arguments
TCLAP::CmdLine cmd("waifu2x reimplementation using Caffe", ' ', "1.0.0");
TCLAP::ValueArg<std::string> cmdInputFile("i", "input_path",
"path to input image file", true, "",
"string", cmd);
TCLAP::ValueArg<std::string> cmdOutputFile("o", "output_path",
"path to output image file (when input_path is folder, output_path must be folder)", false,
"(auto)", "string", cmd);
TCLAP::ValueArg<std::string> cmdInputFileExt("l", "input_extention_list",
"extention to input image file when input_path is folder", false, "png:jpg:jpeg:tif:tiff:bmp",
"string", cmd);
TCLAP::ValueArg<std::string> cmdOutputFileExt("e", "output_extention",
"extention to output image file when output_path is (auto) or input_path is folder", false,
"png", "string", cmd);
std::vector<std::string> cmdModeConstraintV;
cmdModeConstraintV.push_back("noise");
cmdModeConstraintV.push_back("scale");
cmdModeConstraintV.push_back("noise_scale");
cmdModeConstraintV.push_back("auto_scale");
TCLAP::ValuesConstraint<std::string> cmdModeConstraint(cmdModeConstraintV);
TCLAP::ValueArg<std::string> cmdMode("m", "mode", "image processing mode",
false, "noise_scale", &cmdModeConstraint, cmd);
std::vector<int> cmdNRLConstraintV;
cmdNRLConstraintV.push_back(1);
cmdNRLConstraintV.push_back(2);
TCLAP::ValuesConstraint<int> cmdNRLConstraint(cmdNRLConstraintV);
TCLAP::ValueArg<int> cmdNRLevel("n", "noise_level", "noise reduction level",
false, 1, &cmdNRLConstraint, cmd);
TCLAP::ValueArg<double> cmdScaleRatio("s", "scale_ratio",
"custom scale ratio", false, 2.0, "double", cmd);
TCLAP::ValueArg<std::string> cmdModelPath("", "model_dir",
"path to custom model directory (don't append last / )", false,
"models", "string", cmd);
std::vector<std::string> cmdProcessConstraintV;
cmdProcessConstraintV.push_back("cpu");
cmdProcessConstraintV.push_back("gpu");
cmdProcessConstraintV.push_back("cudnn");
TCLAP::ValuesConstraint<std::string> cmdProcessConstraint(cmdProcessConstraintV);
TCLAP::ValueArg<std::string> cmdProcess("p", "process", "process mode",
false, "gpu", &cmdProcessConstraint, cmd);
TCLAP::ValueArg<int> cmdCropSizeFile("c", "crop_size",
"input image split size", false,
128, "int", cmd);
TCLAP::ValueArg<int> cmdBatchSizeFile("b", "batch_size",
"input batch size", false,
1, "int", cmd);
// definition of command line argument : end
TCLAP::Arg::enableIgnoreMismatched();
// parse command line arguments
try
{
cmd.parse(argc, argv);
}
catch (std::exception &e)
{
printf("エラー: %s\n", e.what());
return 1;
}
const boost::filesystem::path input_path(boost::filesystem::absolute((cmdInputFile.getValue())));
std::string outputExt = cmdOutputFileExt.getValue();
if (outputExt.length() > 0 && outputExt[0] != '.')
outputExt = "." + outputExt;
std::vector<std::pair<std::string, std::string>> file_paths;
if (boost::filesystem::is_directory(input_path)) // input_pathがフォルダならそのディレクトリ以下の画像ファイルを一括変換
{
boost::filesystem::path output_path;
if (cmdOutputFile.getValue() == "(auto)")
{
// 「test」なら「test_noise_scale(Level1)(x2.000000)」みたいな感じにする
std::string addstr("_" + cmdMode.getValue());
const std::string &mode = cmdMode.getValue();
if (mode.find("noise") != mode.npos || mode.find("auto_scale") != mode.npos)
addstr += "(Level" + std::to_string(cmdNRLevel.getValue()) + ")";
if (mode.find("scale") != mode.npos)
addstr += "(x" + std::to_string(cmdScaleRatio.getValue()) + ")";
output_path = input_path.branch_path() / (input_path.stem().string() + addstr);
}
else
output_path = cmdOutputFile.getValue();
output_path = boost::filesystem::absolute(output_path);
if (!boost::filesystem::exists(output_path))
{
if (!boost::filesystem::create_directory(output_path))
{
printf("エラー: 出力フォルダ「%s」の作成に失敗しました\n", output_path.string().c_str());
return 1;
}
}
std::vector<std::string> extList;
{
// input_extention_listを文字列の配列にする
typedef boost::char_separator<char> char_separator;
typedef boost::tokenizer<char_separator> tokenizer;
char_separator sep(":", "", boost::drop_empty_tokens);
tokenizer tokens(cmdInputFileExt.getValue(), sep);
for (tokenizer::iterator tok_iter = tokens.begin(); tok_iter != tokens.end(); ++tok_iter)
extList.push_back("." + *tok_iter);
}
// 変換する画像の入力、出力パスを取得
const auto func = [&extList, &input_path, &output_path, &outputExt, &file_paths](const boost::filesystem::path &path)
{
BOOST_FOREACH(const boost::filesystem::path& p, std::make_pair(boost::filesystem::recursive_directory_iterator(path),
boost::filesystem::recursive_directory_iterator()))
{
if (boost::filesystem::is_directory(p))
{
const auto out_relative = relativePath(p, input_path);
const auto out_absolute = output_path / out_relative;
if (!boost::filesystem::exists(out_absolute))
{
if (!boost::filesystem::create_directory(out_absolute))
{
printf("エラー: 出力フォルダ「%s」の作成に失敗しました\n", out_absolute.string().c_str());
return false;
}
}
}
else if (std::find(extList.begin(), extList.end(), p.extension().string()) != extList.end())
{
const auto out_relative = relativePath(p, input_path);
const auto out_absolute = output_path / out_relative;
const auto out = (out_absolute.branch_path() / out_absolute.stem()).string() + outputExt;
file_paths.emplace_back(p.string(), out);
}
}
return true;
};
if (!func(input_path))
return 1;
}
else
{
int main(int argc, char** argv)
{
Waifu2x::init_liblary(argc, argv);
// Caffeのエラーでないログを保存しないようにする
google::SetLogDestination(google::INFO, "");
google::SetLogDestination(google::WARNING, "");
// Caffeのエラーログを「error_log_〜」に出力
google::SetLogDestination(google::ERROR, "error_log_");
google::SetLogDestination(google::FATAL, "error_log_");
// definition of command line arguments
TCLAP::CmdLine cmd("waifu2x reimplementation using Caffe", ' ', "1.0.0");
TCLAP::ValueArg<std::string> cmdInputFile("i", "input_path",
"path to input image file", true, "",
"string", cmd);
TCLAP::ValueArg<std::string> cmdOutputFile("o", "output_path",
"path to output image file (when input_path is folder, output_path must be folder)", false,
"(auto)", "string", cmd);
TCLAP::ValueArg<std::string> cmdInputFileExt("l", "input_extention_list",
"extention to input image file when input_path is folder", false, "png:jpg:jpeg:tif:tiff:bmp:tga",
"string", cmd);
TCLAP::ValueArg<std::string> cmdOutputFileExt("e", "output_extention",
"extention to output image file when output_path is (auto) or input_path is folder", false,
"png", "string", cmd);
std::vector<std::string> cmdModeConstraintV;
cmdModeConstraintV.push_back("noise");
cmdModeConstraintV.push_back("scale");
cmdModeConstraintV.push_back("noise_scale");
cmdModeConstraintV.push_back("auto_scale");
TCLAP::ValuesConstraint<std::string> cmdModeConstraint(cmdModeConstraintV);
TCLAP::ValueArg<std::string> cmdMode("m", "mode", "image processing mode",
false, "noise_scale", &cmdModeConstraint, cmd);
std::vector<int> cmdNRLConstraintV;
cmdNRLConstraintV.push_back(1);
cmdNRLConstraintV.push_back(2);
cmdNRLConstraintV.push_back(3);
TCLAP::ValuesConstraint<int> cmdNRLConstraint(cmdNRLConstraintV);
TCLAP::ValueArg<int> cmdNRLevel("n", "noise_level", "noise reduction level",
false, 1, &cmdNRLConstraint, cmd);
TCLAP::ValueArg<double> cmdScaleRatio("s", "scale_ratio",
"custom scale ratio", false, 2.0, "double", cmd);
TCLAP::ValueArg<double> cmdScaleWidth("w", "scale_width",
"custom scale width", false, 0, "double", cmd);
TCLAP::ValueArg<double> cmdScaleHeight("h", "scale_height",
"custom scale height", false, 0, "double", cmd);
TCLAP::ValueArg<std::string> cmdModelPath("", "model_dir",
"path to custom model directory (don't append last / )", false,
"models/anime_style_art_rgb", "string", cmd);
std::vector<std::string> cmdProcessConstraintV;
cmdProcessConstraintV.push_back("cpu");
cmdProcessConstraintV.push_back("gpu");
cmdProcessConstraintV.push_back("cudnn");
TCLAP::ValuesConstraint<std::string> cmdProcessConstraint(cmdProcessConstraintV);
TCLAP::ValueArg<std::string> cmdProcess("p", "process", "process mode",
false, "gpu", &cmdProcessConstraint, cmd);
TCLAP::ValueArg<int> cmdOutputQuality("q", "output_quality",
"output image quality", false,
-1, "int", cmd);
TCLAP::ValueArg<int> cmdOutputDepth("d", "output_depth",
"output image chaneel depth bit", false,
8, "int", cmd);
TCLAP::ValueArg<int> cmdCropSizeFile("c", "crop_size",
"input image split size", false,
128, "int", cmd);
TCLAP::ValueArg<int> cmdCropWidth("", "crop_w",
"input image split size(width)", false,
128, "int", cmd);
TCLAP::ValueArg<int> cmdCropHeight("", "crop_h",
"input image split size(height)", false,
128, "int", cmd);
TCLAP::ValueArg<int> cmdBatchSizeFile("b", "batch_size",
"input batch size", false,
1, "int", cmd);
TCLAP::ValueArg<int> cmdGPUNoFile("", "gpu",
"gpu device no", false,
0, "int", cmd);
std::vector<int> cmdTTAConstraintV;
cmdTTAConstraintV.push_back(0);
cmdTTAConstraintV.push_back(1);
TCLAP::ValuesConstraint<int> cmdTTAConstraint(cmdTTAConstraintV);
TCLAP::ValueArg<int> cmdTTALevel("t", "tta", "8x slower and slightly high quality",
false, 0, &cmdTTAConstraint, cmd);
// definition of command line argument : end
TCLAP::Arg::enableIgnoreMismatched();
// parse command line arguments
try
{
cmd.parse(argc, argv);
}
catch (std::exception &e)
{
printf("エラー: %s\n", e.what());
return 1;
}
boost::optional<double> ScaleRatio;
boost::optional<int> ScaleWidth;
boost::optional<int> ScaleHeight;
int valid_num = 0;
if (cmdScaleWidth.getValue() > 0)
valid_num++;
if (cmdScaleHeight.getValue() > 0)
valid_num++;
if (valid_num > 1)
{
printf("エラー: scale_widthとscale_heightは同時に指定できません\n");
return 1;
}
int crop_w = cmdCropSizeFile.getValue();
int crop_h = cmdCropSizeFile.getValue();
if (cmdCropWidth.isSet())
crop_w = cmdCropWidth.getValue();
if (cmdCropHeight.isSet())
crop_h = cmdCropHeight.getValue();
if (cmdScaleWidth.getValue() > 0)
ScaleWidth = cmdScaleWidth.getValue();
else if (cmdScaleHeight.getValue() > 0)
ScaleHeight = cmdScaleHeight.getValue();
else
ScaleRatio = cmdScaleRatio.getValue();
const boost::filesystem::path input_path(boost::filesystem::absolute((cmdInputFile.getValue())));
std::string outputExt = cmdOutputFileExt.getValue();
if (outputExt.length() > 0 && outputExt[0] != '.')
outputExt = "." + outputExt;
const std::string ModelName = Waifu2x::GetModelName(cmdModelPath.getValue());
const bool use_tta = cmdTTALevel.getValue() == 1;
std::vector<std::pair<std::string, std::string>> file_paths;
if (boost::filesystem::is_directory(input_path)) // input_pathがフォルダならそのディレクトリ以下の画像ファイルを一括変換
{
boost::filesystem::path output_path;
if (cmdOutputFile.getValue() == "(auto)")
{
// 「test」なら「test_noise_scale(Level1)(x2.000000)」みたいな感じにする
std::string addstr("(");
addstr += ModelName;
addstr += ")";
const std::string &mode = cmdMode.getValue();
addstr += "(" + mode + ")";
if (mode.find("noise") != mode.npos || mode.find("auto_scale") != mode.npos)
addstr += "(Level" + std::to_string(cmdNRLevel.getValue()) + ")";
if (use_tta)
addstr += "(tta)";
if (mode.find("scale") != mode.npos)
{
if(ScaleRatio)
addstr += "(x" + std::to_string(*ScaleRatio) + ")";
else if (ScaleWidth)
addstr += "(width " + std::to_string(*ScaleWidth) + ")";
else
addstr += "(height " + std::to_string(*ScaleHeight) + ")";
}
if (cmdOutputDepth.getValue() != 8)
addstr += "(" + std::to_string(cmdOutputDepth.getValue()) + "bit)";
output_path = input_path.branch_path() / (input_path.stem().string() + addstr);
}
else
output_path = cmdOutputFile.getValue();
output_path = boost::filesystem::absolute(output_path);
if (!boost::filesystem::exists(output_path))
{
if (!boost::filesystem::create_directory(output_path))
{
printf("エラー: 出力フォルダ「%s」の作成に失敗しました\n", output_path.string().c_str());
return 1;
}
}
std::vector<std::string> extList;
{
// input_extention_listを文字列の配列にする
typedef boost::char_separator<char> char_separator;
typedef boost::tokenizer<char_separator> tokenizer;
char_separator sep(":", "", boost::drop_empty_tokens);
tokenizer tokens(cmdInputFileExt.getValue(), sep);
for (tokenizer::iterator tok_iter = tokens.begin(); tok_iter != tokens.end(); ++tok_iter)
{
std::string ext(*tok_iter);
std::transform(ext.begin(), ext.end(), ext.begin(), ::tolower);
extList.push_back("." + ext);
}
}
// 変換する画像の入力、出力パスを取得
const auto func = [&extList, &input_path, &output_path, &outputExt, &file_paths](const boost::filesystem::path &path)
{
BOOST_FOREACH(const boost::filesystem::path& p, std::make_pair(boost::filesystem::recursive_directory_iterator(path),
boost::filesystem::recursive_directory_iterator()))
{
if (boost::filesystem::is_directory(p))
{
const auto out_relative = relativePath(p, input_path);
const auto out_absolute = output_path / out_relative;
if (!boost::filesystem::exists(out_absolute))
{
if (!boost::filesystem::create_directory(out_absolute))
{
printf("エラー: 出力フォルダ「%s」の作成に失敗しました\n", out_absolute.string().c_str());
return false;
}
}
}
else
{
std::string ext(p.extension().string());
std::transform(ext.begin(), ext.end(), ext.begin(), ::tolower);
if (std::find(extList.begin(), extList.end(), ext) != extList.end())
{
const auto out_relative = relativePath(p, input_path);
const auto out_absolute = output_path / out_relative;
const auto out = (out_absolute.branch_path() / out_absolute.stem()).string() + outputExt;
file_paths.emplace_back(p.string(), out);
}
}
}
return true;
};
if (!func(input_path))
return 1;
}
else
{
int main(int argc, char** argv) {
// definition of command line arguments
TCLAP::CmdLine cmd("waifu2x reimplementation using OpenCV", ' ', "1.0.0");
TCLAP::ValueArg<std::string> cmdInputFile("i", "input_file",
"path to input image file (you should input full path)", true, "",
"string", cmd);
TCLAP::ValueArg<std::string> cmdOutputFile("o", "output_file",
"path to output image file (you should input full path)", false,
"(auto)", "string", cmd);
std::vector<std::string> cmdModeConstraintV;
cmdModeConstraintV.push_back("noise");
cmdModeConstraintV.push_back("scale");
cmdModeConstraintV.push_back("noise_scale");
TCLAP::ValuesConstraint<std::string> cmdModeConstraint(cmdModeConstraintV);
TCLAP::ValueArg<std::string> cmdMode("m", "mode", "image processing mode",
false, "noise_scale", &cmdModeConstraint, cmd);
std::vector<int> cmdNRLConstraintV;
cmdNRLConstraintV.push_back(1);
cmdNRLConstraintV.push_back(2);
TCLAP::ValuesConstraint<int> cmdNRLConstraint(cmdNRLConstraintV);
TCLAP::ValueArg<int> cmdNRLevel("", "noise_level", "noise reduction level",
false, 1, &cmdNRLConstraint, cmd);
TCLAP::ValueArg<double> cmdScaleRatio("", "scale_ratio",
"custom scale ratio", false, 2.0, "double", cmd);
TCLAP::ValueArg<std::string> cmdModelPath("", "model_dir",
"path to custom model directory (don't append last / )", false,
"models", "string", cmd);
TCLAP::ValueArg<int> cmdNumberOfJobs("j", "jobs",
"number of threads launching at the same time", false, 4, "integer",
cmd);
// definition of command line argument : end
// parse command line arguments
try {
cmd.parse(argc, argv);
} catch (std::exception &e) {
std::cerr << e.what() << std::endl;
std::cerr << "Error : cmd.parse() threw exception" << std::endl;
std::exit(-1);
}
// load image file
cv::Mat image = cv::imread(cmdInputFile.getValue(), cv::IMREAD_COLOR);
image.convertTo(image, CV_32F, 1.0 / 255.0);
// set number of jobs for processing models
w2xc::modelUtility::getInstance().setNumberOfJobs(cmdNumberOfJobs.getValue());
// ===== Noise Reduction Phase =====
if (cmdMode.getValue() == "noise" || cmdMode.getValue() == "noise_scale") {
std::string modelFileName(cmdModelPath.getValue());
modelFileName = modelFileName + "/noise"
+ std::to_string(cmdNRLevel.getValue()) + "_model.json";
std::vector<std::unique_ptr<w2xc::Model> > models;
if (!w2xc::modelUtility::generateModelFromJSON(modelFileName, models))
std::exit(-1);
cv::Mat imageYUV;
cv::cvtColor(image, imageYUV, cv::COLOR_RGB2YUV);
std::vector<cv::Mat> imageSplit;
cv::Mat imageY;
cv::split(imageYUV, imageSplit);
imageSplit[0].copyTo(imageY);
w2xc::convertWithModels(imageY, imageSplit[0], models);
cv::merge(imageSplit, imageYUV);
cv::cvtColor(imageYUV, image, cv::COLOR_YUV2RGB);
} // noise reduction phase : end
// ===== scaling phase =====
if (cmdMode.getValue() == "scale" || cmdMode.getValue() == "noise_scale") {
// calculate iteration times of 2x scaling and shrink ratio which will use at last
int iterTimesTwiceScaling = static_cast<int>(std::ceil(
std::log2(cmdScaleRatio.getValue())));
double shrinkRatio = 0.0;
if (static_cast<int>(cmdScaleRatio.getValue())
!= std::pow(2, iterTimesTwiceScaling)) {
shrinkRatio = cmdScaleRatio.getValue()
/ std::pow(2.0, static_cast<double>(iterTimesTwiceScaling));
}
std::string modelFileName(cmdModelPath.getValue());
modelFileName = modelFileName + "/scale2.0x_model.json";
std::vector<std::unique_ptr<w2xc::Model> > models;
if (!w2xc::modelUtility::generateModelFromJSON(modelFileName, models))
std::exit(-1);
std::cout << "start scaling" << std::endl;
// 2x scaling
for (int nIteration = 0; nIteration < iterTimesTwiceScaling;
nIteration++) {
std::cout << "#" << std::to_string(nIteration + 1)
<< " 2x scaling..." << std::endl;
cv::Mat imageYUV;
cv::Size imageSize = image.size();
imageSize.width *= 2;
imageSize.height *= 2;
cv::Mat image2xNearest;
cv::resize(image, image2xNearest, imageSize, 0, 0, cv::INTER_NEAREST);
cv::cvtColor(image2xNearest, imageYUV, cv::COLOR_RGB2YUV);
std::vector<cv::Mat> imageSplit;
cv::Mat imageY;
cv::split(imageYUV, imageSplit);
imageSplit[0].copyTo(imageY);
// generate bicubic scaled image and
// convert RGB -> YUV and split
imageSplit.clear();
cv::Mat image2xBicubic;
cv::resize(image,image2xBicubic,imageSize,0,0,cv::INTER_CUBIC);
cv::cvtColor(image2xBicubic, imageYUV, cv::COLOR_RGB2YUV);
cv::split(imageYUV, imageSplit);
if(!w2xc::convertWithModels(imageY, imageSplit[0], models)){
std::cerr << "w2xc::convertWithModels : something error has occured.\n"
"stop." << std::endl;
std::exit(1);
};
cv::merge(imageSplit, imageYUV);
cv::cvtColor(imageYUV, image, cv::COLOR_YUV2RGB);
} // 2x scaling : end
if (shrinkRatio != 0.0) {
cv::Size lastImageSize = image.size();
lastImageSize.width =
static_cast<int>(static_cast<double>(lastImageSize.width
* shrinkRatio));
lastImageSize.height =
static_cast<int>(static_cast<double>(lastImageSize.height
* shrinkRatio));
cv::resize(image, image, lastImageSize, 0, 0, cv::INTER_LINEAR);
}
}
image.convertTo(image, CV_8U, 255.0);
std::string outputFileName = cmdOutputFile.getValue();
if (outputFileName == "(auto)") {
outputFileName = cmdInputFile.getValue();
int tailDot = outputFileName.find_last_of('.');
outputFileName.erase(tailDot, outputFileName.length());
outputFileName = outputFileName + "(" + cmdMode.getValue() + ")";
std::string &mode = cmdMode.getValue();
if(mode.find("noise") != mode.npos){
outputFileName = outputFileName + "(Level" + std::to_string(cmdNRLevel.getValue())
+ ")";
}
if(mode.find("scale") != mode.npos){
outputFileName = outputFileName + "(x" + std::to_string(cmdScaleRatio.getValue())
+ ")";
}
outputFileName += ".png";
}
cv::imwrite(outputFileName, image);
std::cout << "process successfully done!" << std::endl;
return 0;
}