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https://github.com/open-mmlab/mmdeploy.git
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e10a1b7c9e
* add more examples * change to restore's output image to BGR * use BUILD_SHARED_LIBS * update graph module's cmake * add condition for spdlog package * change cmakelists * update cmakelists * add device_name in each demo * remove duplicate cmake function * use palette to draw segmentation's result * no need to find_package(pplnn) when use MMDeploy's static libs * remove MMDeploy_LIBS' dependency on spdlog * #include <opencv2/imgproc/imgproc.hpp> * change from mmdeploy_core to mmdeploy::core
50 lines
1.3 KiB
C++
50 lines
1.3 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include <fstream>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include <string>
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#include "restorer.h"
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int main(int argc, char *argv[]) {
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if (argc != 4) {
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fprintf(stderr, "usage:\n image_restorer device_name model_path image_path\n");
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return 1;
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}
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auto device_name = argv[1];
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auto model_path = argv[2];
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auto image_path = argv[3];
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cv::Mat img = cv::imread(image_path);
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if (!img.data) {
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fprintf(stderr, "failed to load image: %s\n", image_path);
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return 1;
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}
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mm_handle_t restorer{};
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int status{};
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status = mmdeploy_restorer_create_by_path(model_path, device_name, 0, &restorer);
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if (status != MM_SUCCESS) {
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fprintf(stderr, "failed to create restorer, code: %d\n", (int)status);
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return 1;
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}
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mm_mat_t mat{img.data, img.rows, img.cols, 3, MM_BGR, MM_INT8};
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mm_mat_t *result{};
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status = mmdeploy_restorer_apply(restorer, &mat, 1, &result);
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if (status != MM_SUCCESS) {
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fprintf(stderr, "failed to apply restorer, code: %d\n", (int)status);
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return 1;
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}
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cv::Mat sr_img(result->height, result->width, CV_8UC3, result->data);
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cv::cvtColor(sr_img, sr_img, cv::COLOR_RGB2BGR);
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cv::imwrite("output_restorer.bmp", sr_img);
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mmdeploy_restorer_release_result(result, 1);
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mmdeploy_restorer_destroy(restorer);
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return 0;
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}
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