mnn_mg_matting.h
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//
// Created by DefTruth on 2021/12/5.
//
#ifndef LITE_AI_TOOLKIT_MNN_CV_MNN_MG_MATTING_H
#define LITE_AI_TOOLKIT_MNN_CV_MNN_MG_MATTING_H
#include "lite/mnn/core/mnn_core.h"
namespace mnncv
{
class LITE_EXPORTS MNNMGMatting
{
public:
explicit MNNMGMatting(const std::string &_mnn_path, unsigned int _num_threads = 8); //
~MNNMGMatting();
private:
std::shared_ptr<MNN::Interpreter> mnn_interpreter;
MNN::Session *mnn_session = nullptr;
MNN::ScheduleConfig schedule_config;
std::shared_ptr<MNN::CV::ImageProcess> pretreat; // init at runtime
const char *log_id = nullptr;
const char *mnn_path = nullptr;
MNN::Tensor *image_tensor = nullptr;
MNN::Tensor *mask_tensor = nullptr;
private:
const float norm_vals[3] = {(1.f / 0.229f) * (1.f / 255.f),
(1.f / 0.224f) * (1.f / 255.f),
(1.f / 0.225f) * (1.f / 255.f)};
const float mean_vals[3] = {0.485f * 255.f, 0.456f * 255.f, 0.406f * 255.f}; // RGB
private:
const unsigned int num_threads; // initialize at runtime.
int dynamic_input_height = 512; // init only, will change according to input mat.
int dynamic_input_width = 512; // init only, will change according to input mat.
unsigned int dynamic_input_image_size = 1 * 3 * 512 * 512; // init only, will change according to input mat.
unsigned int dynamic_input_mask_size = 1 * 1 * 512 * 512; // init only, will change according to input mat.
int dimension_type; // hint only
static constexpr const unsigned int align_val = 32;
// un-copyable
protected:
MNNMGMatting(const MNNMGMatting &) = delete; //
MNNMGMatting(MNNMGMatting &&) = delete; //
MNNMGMatting &operator=(const MNNMGMatting &) = delete; //
MNNMGMatting &operator=(MNNMGMatting &&) = delete; //
private:
void print_debug_string();
private:
void transform(const cv::Mat &mat, const cv::Mat &mask);
void initialize_pretreat(); //
void initialize_interpreter();
cv::Mat padding(const cv::Mat &unpad_mat);
void update_guidance_mask(cv::Mat &mask, unsigned int guidance_threshold = 128);
void update_dynamic_shape(unsigned int img_height, unsigned int img_width);
void update_alpha_pred(cv::Mat &alpha_pred, const cv::Mat &weight, const cv::Mat &other_alpha_pred);
cv::Mat get_unknown_tensor_from_pred(const cv::Mat &alpha_pred, unsigned int rand_width = 30);
void remove_small_connected_area(cv::Mat &alpha_pred);
void generate_matting(const std::map<std::string, MNN::Tensor *> &output_tensors,
const cv::Mat &mat, types::MattingContent &content,
bool remove_noise = false);
public:
/**
* Image Matting Using MGMatting(https://github.com/yucornetto/MGMatting)
* @param mat: cv::Mat BGR HWC, source image
* @param mask: cv::Mat Gray, guidance mask.
* @param guidance_threshold: int, guidance threshold..
* @param content: types::MattingContent to catch the detected results.
*/
void detect(const cv::Mat &mat, cv::Mat &mask, types::MattingContent &content,
bool remove_noise = false, unsigned int guidance_threshold = 128);
};
}
#endif //LITE_AI_TOOLKIT_MNN_CV_MNN_MG_MATTING_H