waifu2x-caffe/common/waifu2x.h
2016-07-03 17:41:27 +09:00

149 lines
4.5 KiB
C++

#pragma once
#include <stdint.h>
#include <string>
#include <vector>
#include <utility>
#include <functional>
#include <boost/shared_ptr.hpp>
#include <boost/filesystem.hpp>
#include <boost/optional.hpp>
#include <opencv2/core.hpp>
#define CUDNN_DLL_NAME "cudnn64_5.dll"
#define CUDNN_REQUIRE_VERION_TEXT "v5 RC"
namespace caffe
{
template <typename Dtype>
class Net;
class NetParameter;
};
class cNet;
class stImage;
class Waifu2x
{
public:
enum eWaifu2xModelType
{
eWaifu2xModelTypeNoise,
eWaifu2xModelTypeScale,
eWaifu2xModelTypeNoiseScale,
eWaifu2xModelTypeAutoScale,
};
enum eWaifu2xError
{
eWaifu2xError_OK = 0,
eWaifu2xError_Cancel,
eWaifu2xError_NotInitialized,
eWaifu2xError_InvalidParameter,
eWaifu2xError_FailedOpenInputFile,
eWaifu2xError_FailedOpenOutputFile,
eWaifu2xError_FailedOpenModelFile,
eWaifu2xError_FailedParseModelFile,
eWaifu2xError_FailedWriteModelFile,
eWaifu2xError_FailedConstructModel,
eWaifu2xError_FailedProcessCaffe,
eWaifu2xError_FailedCudaCheck,
eWaifu2xError_FailedUnknownType,
};
enum eWaifu2xCudaError
{
eWaifu2xCudaError_OK = 0,
eWaifu2xCudaError_NotFind,
eWaifu2xCudaError_OldVersion,
eWaifu2xCudaError_OldDevice,
};
enum eWaifu2xcuDNNError
{
eWaifu2xcuDNNError_OK = 0,
eWaifu2xcuDNNError_NotFind,
eWaifu2xcuDNNError_OldVersion,
eWaifu2xcuDNNError_CannotCreate,
};
typedef std::function<bool()> waifu2xCancelFunc;
static std::string ExeDir;
private:
bool mIsInited;
eWaifu2xModelType mMode;
int mNoiseLevel;
std::string mProcess;
bool mIsCuda;
std::shared_ptr<cNet> mNoiseNet;
std::shared_ptr<cNet> mScaleNet;
int mInputPlane; // ネットへの入力チャンネル数
int mMaxNetOffset; // ネットに入力するとどれくらい削れるか
bool mHasNoiseScale;
float *mInputBlock;
size_t mInputBlockSize;
float *mOutputBlock;
size_t mOutputBlockSize;
private:
static boost::filesystem::path GetModeDirPath(const boost::filesystem::path &model_dir);
static boost::filesystem::path GetInfoPath(const boost::filesystem::path &model_dir);
Waifu2x::eWaifu2xError ReconstructImage(const double factor, const int crop_w, const int crop_h, const bool use_tta, const int batch_size,
const bool isReconstructNoise, const bool isReconstructScale, const Waifu2x::waifu2xCancelFunc cancel_func, stImage &image);
Waifu2x::eWaifu2xError ReconstructScale(const int crop_w, const int crop_h, const bool use_tta, const int batch_size,
const Waifu2x::waifu2xCancelFunc cancel_func, stImage &image);
Waifu2x::eWaifu2xError ReconstructNoiseScale(const int crop_w, const int crop_h, const bool use_tta, const int batch_size,
const Waifu2x::waifu2xCancelFunc cancel_func, stImage &image);
Waifu2x::eWaifu2xError ReconstructByNet(std::shared_ptr<cNet> net, const int crop_w, const int crop_h, const bool use_tta, const int batch_size,
const Waifu2x::waifu2xCancelFunc cancel_func, cv::Mat &im);
Waifu2x::eWaifu2xError ProcessNet(std::shared_ptr<cNet> net, const int crop_w, const int crop_h, const bool use_tta, const int batch_size, cv::Mat &im);
// double CalcScaleRatio(const cv::Size_<int> &size) const;
public:
Waifu2x();
~Waifu2x();
static eWaifu2xCudaError can_use_CUDA();
static eWaifu2xcuDNNError can_use_cuDNN();
static void init_liblary(int argc, char** argv);
static void quit_liblary();
// mode: noise or scale or noise_scale or auto_scale
// process: cpu or gpu or cudnn
eWaifu2xError Init(const eWaifu2xModelType mode, const int noise_level,
const boost::filesystem::path &model_dir, const std::string &process);
eWaifu2xError waifu2x(const boost::filesystem::path &input_file, const boost::filesystem::path &output_file,
const double factor, const waifu2xCancelFunc cancel_func = nullptr, const int crop_w = 128, const int crop_h = 128,
const boost::optional<int> output_quality = boost::optional<int>(), const int output_depth = 8, const bool use_tta = false,
const int batch_size = 1);
// factor: 倍率
// source: (4チャンネルの場合は)RGBAな画素配列
// dest: (4チャンネルの場合は)処理したRGBAな画素配列
// in_stride: sourceのストライド(バイト単位)
// out_stride: destのストライド(バイト単位)
eWaifu2xError waifu2x(const double factor, const void* source, void* dest, const int width, const int height,
const int in_channel, const int in_stride, const int out_channel, const int out_stride,
const int crop_w = 128, const int crop_h = 128, const bool use_tta = false, const int batch_size = 1);
void Destroy();
const std::string& used_process() const;
static std::string GetModelName(const boost::filesystem::path &model_dir);
};