58 lines
1.7 KiB
C++
58 lines
1.7 KiB
C++
#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 "detector.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 object_detection 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 detector{};
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int status{};
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status = mmdeploy_detector_create_by_path(model_path, device_name, 0, &detector);
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if (status != MM_SUCCESS) {
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fprintf(stderr, "failed to create detector, 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_detect_t *bboxes{};
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int *res_count{};
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status = mmdeploy_detector_apply(detector, &mat, 1, &bboxes, &res_count);
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if (status != MM_SUCCESS) {
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fprintf(stderr, "failed to apply detector, code: %d\n", (int)status);
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return 1;
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}
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fprintf(stderr, "bbox_count=%d\n", *res_count);
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for (int i = 0; i < *res_count; ++i) {
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const auto &box = bboxes[i].bbox;
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fprintf(stderr, "box %d, left=%.2f, top=%.2f, right=%.2f, bottom=%.2f, label=%d, score=%.4f\n",
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i, box.left, box.top, box.right, box.bottom, bboxes[i].label_id, bboxes[i].score);
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cv::rectangle(img, cv::Point{(int)box.left, (int)box.top},
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cv::Point{(int)box.right, (int)box.bottom}, cv::Scalar{0, 255, 0});
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}
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cv::imwrite("output_detection.png", img);
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mmdeploy_detector_release_result(bboxes, res_count, 1);
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mmdeploy_detector_destroy(detector);
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return 0;
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}
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