78 lines
2.3 KiB
C++
78 lines
2.3 KiB
C++
//
|
|
// Created by DefTruth on 2021/4/5.
|
|
//
|
|
|
|
#include "subpixel_cnn.h"
|
|
#include "lite/ort/core/ort_utils.h"
|
|
|
|
using ortcv::SubPixelCNN;
|
|
|
|
Ort::Value SubPixelCNN::transform(const cv::Mat &mat)
|
|
{
|
|
cv::Mat mat_y; // assume that input mat is Y of YCrCb
|
|
mat.convertTo(mat_y, CV_32FC1, 1.0f / 255.0f, 0.f); // (224,224,1) range (0.,1.0)
|
|
|
|
return ortcv::utils::transform::create_tensor(
|
|
mat_y, input_node_dims, memory_info_handler,
|
|
input_values_handler, ortcv::utils::transform::CHW
|
|
);
|
|
}
|
|
|
|
|
|
void SubPixelCNN::detect(const cv::Mat &mat, types::SuperResolutionContent &super_resolution_content)
|
|
{
|
|
if (mat.empty()) return;
|
|
cv::Mat mat_copy = mat.clone();
|
|
cv::resize(mat_copy, mat_copy, cv::Size(input_node_dims.at(3), input_node_dims.at(2))); // (224,224,3)
|
|
cv::Mat mat_ycrcb, mat_y, mat_cr, mat_cb;
|
|
cv::cvtColor(mat_copy, mat_ycrcb, cv::COLOR_BGR2YCrCb);
|
|
|
|
// 0. split
|
|
std::vector<cv::Mat> split_mats;
|
|
cv::split(mat_ycrcb, split_mats);
|
|
mat_y = split_mats.at(0); // (224,224,1) uchar CV_8UC1
|
|
mat_cr = split_mats.at(1);
|
|
mat_cb = split_mats.at(2);
|
|
|
|
// 1. make input tensor
|
|
Ort::Value input_tensor = this->transform(mat_y);
|
|
// 2. inference
|
|
auto output_tensors = ort_session->Run(
|
|
Ort::RunOptions{nullptr}, input_node_names.data(),
|
|
&input_tensor, 1, output_node_names.data(), num_outputs
|
|
);
|
|
Ort::Value &pred_tensor = output_tensors.at(0); // (1,1,672,672)
|
|
auto pred_dims = output_node_dims.at(0);
|
|
const unsigned int rows = pred_dims.at(2); // H
|
|
const unsigned int cols = pred_dims.at(3); // W
|
|
|
|
mat_y.create(rows, cols, CV_8UC1); // release & create
|
|
|
|
for (unsigned int i = 0; i < rows; ++i)
|
|
{
|
|
uchar *p = mat_y.ptr<uchar>(i);
|
|
for (unsigned int j = 0; j < cols; ++j)
|
|
{
|
|
p[j] = cv::saturate_cast<uchar>(pred_tensor.At<float>({0, 0, i, j}) * 255.0f);
|
|
|
|
} // CHW->HWC
|
|
}
|
|
|
|
cv::resize(mat_cr, mat_cr, cv::Size(cols, rows));
|
|
cv::resize(mat_cb, mat_cb, cv::Size(cols, rows));
|
|
|
|
std::vector<cv::Mat> out_mats;
|
|
out_mats.push_back(mat_y);
|
|
out_mats.push_back(mat_cr);
|
|
out_mats.push_back(mat_cb);
|
|
|
|
// 3. merge
|
|
cv::merge(out_mats, super_resolution_content.mat);
|
|
if (super_resolution_content.mat.empty())
|
|
{
|
|
super_resolution_content.flag = false;
|
|
return;
|
|
}
|
|
cv::cvtColor(super_resolution_content.mat, super_resolution_content.mat, cv::COLOR_YCrCb2BGR);
|
|
super_resolution_content.flag = true;
|
|
} |