boost::filesystem::path Waifu2x::GetModeDirPath(const boost::filesystem::path &model_dir)
{
boost::filesystem::path mode_dir_path(model_dir);
if (!mode_dir_path.is_absolute()) // model_dirが相対パスなら絶対パスに直す
{
// まずはカレントディレクトリ下にあるか探す
mode_dir_path = boost::filesystem::absolute(model_dir);
if (!boost::filesystem::exists(mode_dir_path) && !ExeDir.empty()) // 無かったらargv[0]から実行ファイルのあるフォルダを推定し、そのフォルダ下にあるか探す
{
boost::filesystem::path a0(ExeDir);
if (a0.is_absolute())
mode_dir_path = a0.branch_path() / model_dir;
}
}
return mode_dir_path;
}
Waifu2x::eWaifu2xError Waifu2x::init(int argc, char** argv, const std::string &Mode, const int NoiseLevel, const std::string &ModelDir, const std::string &Process,
const int CropSize, const int BatchSize)
{
Waifu2x::eWaifu2xError ret;
if (is_inited)
return eWaifu2xError_OK;
try
{
mode = Mode;
noise_level = NoiseLevel;
model_dir = ModelDir;
process = Process;
crop_size = CropSize;
batch_size = BatchSize;
inner_padding = layer_num;
outer_padding = 1;
output_size = crop_size - offset * 2;
input_block_size = crop_size + (inner_padding + outer_padding) * 2;
original_width_height = 128 + layer_num * 2;
output_block_size = crop_size + (inner_padding + outer_padding - layer_num) * 2;
std::call_once(waifu2x_once_flag, [argc, argv]()
{
assert(argc >= 1);
int tmpargc = 1;
char* tmpargvv[] = { argv[0] };
char** tmpargv = tmpargvv;
// glog等の初期化
caffe::GlobalInit(&tmpargc, &tmpargv);
});
const auto cuDNNCheckStartTime = std::chrono::system_clock::now();
if (process == "gpu")
process = "cudnn";
const auto cuDNNCheckEndTime = std::chrono::system_clock::now();
boost::filesystem::path mode_dir_path(model_dir);
if (!mode_dir_path.is_absolute()) // model_dirが相対パスなら絶対パスに直す
{
// まずはカレントディレクトリ下にあるか探す
mode_dir_path = boost::filesystem::absolute(model_dir);
if (!boost::filesystem::exists(mode_dir_path) && argc >= 1) // 無かったらargv[0]から実行ファイルのあるフォルダを推定し、そのフォルダ下にあるか探す
{
boost::filesystem::path a0(argv[0]);
if (a0.is_absolute())
mode_dir_path = a0.branch_path() / model_dir;
}
}
if (!boost::filesystem::exists(mode_dir_path))
return eWaifu2xError_FailedOpenModelFile;
if (process == "cpu")
{
caffe::Caffe::set_mode(caffe::Caffe::CPU);
isCuda = false;
}
else
{
caffe::Caffe::set_mode(caffe::Caffe::GPU);
isCuda = true;
}
if (mode == "noise" || mode == "noise_scale" || mode == "auto_scale")
{
const std::string model_path = (mode_dir_path / "srcnn.prototxt").string();
const std::string param_path = (mode_dir_path / ("noise" + std::to_string(noise_level) + "_model.json")).string();
ret = ConstractNet(net_noise, model_path, param_path, process);
if (ret != eWaifu2xError_OK)
return ret;
}
if (mode == "scale" || mode == "noise_scale" || mode == "auto_scale")
{
const std::string model_path = (mode_dir_path / "srcnn.prototxt").string();
const std::string param_path = (mode_dir_path / "scale2.0x_model.json").string();
ret = ConstractNet(net_scale, model_path, param_path, process);
if (ret != eWaifu2xError_OK)
return ret;
}
const int input_block_plane_size = input_block_size * input_block_size * input_plane;
const int output_block_plane_size = output_block_size * output_block_size * input_plane;
if (isCuda)
{
CUDA_CHECK_WAIFU2X(cudaHostAlloc(&input_block, sizeof(float) * input_block_plane_size * batch_size, cudaHostAllocWriteCombined));
CUDA_CHECK_WAIFU2X(cudaHostAlloc(&dummy_data, sizeof(float) * input_block_plane_size * batch_size, cudaHostAllocWriteCombined));
CUDA_CHECK_WAIFU2X(cudaHostAlloc(&output_block, sizeof(float) * output_block_plane_size * batch_size, cudaHostAllocDefault));
}
else
{
input_block = new float[input_block_plane_size * batch_size];
dummy_data = new float[input_block_plane_size * batch_size];
output_block = new float[output_block_plane_size * batch_size];
}
for (size_t i = 0; i < input_block_plane_size * batch_size; i++)
dummy_data[i] = 0.0f;
is_inited = true;
}
catch (...)
{
return eWaifu2xError_InvalidParameter;
}
return eWaifu2xError_OK;
}
