mmdeploy/demo/csrc/c/image_restorer.cpp

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// Copyright (c) OpenMMLab. All rights reserved.
#include <fstream>
Support Windows (#106) * minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
2022-02-24 20:08:44 +08:00
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <string>
#include "mmdeploy/restorer.h"
int main(int argc, char* argv[]) {
if (argc != 4) {
fprintf(stderr, "usage:\n image_restorer device_name model_path image_path\n");
return 1;
}
auto device_name = argv[1];
auto model_path = argv[2];
auto image_path = argv[3];
cv::Mat img = cv::imread(image_path);
if (!img.data) {
fprintf(stderr, "failed to load image: %s\n", image_path);
return 1;
}
mmdeploy_restorer_t restorer{};
int status{};
status = mmdeploy_restorer_create_by_path(model_path, device_name, 0, &restorer);
if (status != MMDEPLOY_SUCCESS) {
fprintf(stderr, "failed to create restorer, code: %d\n", (int)status);
return 1;
}
mmdeploy_mat_t mat{
img.data, img.rows, img.cols, 3, MMDEPLOY_PIXEL_FORMAT_BGR, MMDEPLOY_DATA_TYPE_UINT8};
mmdeploy_mat_t* result{};
status = mmdeploy_restorer_apply(restorer, &mat, 1, &result);
if (status != MMDEPLOY_SUCCESS) {
fprintf(stderr, "failed to apply restorer, code: %d\n", (int)status);
return 1;
}
cv::Mat sr_img(result->height, result->width, CV_8UC3, result->data);
cv::cvtColor(sr_img, sr_img, cv::COLOR_RGB2BGR);
cv::imwrite("output_restorer.bmp", sr_img);
mmdeploy_restorer_release_result(result, 1);
mmdeploy_restorer_destroy(restorer);
return 0;
}