51 lines
1.4 KiB
C++
51 lines
1.4 KiB
C++
#include <fstream>
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#include <iostream>
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#include <opencv2/imgcodecs.hpp>
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#include <opencv2/imgproc.hpp>
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#include <string>
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#include "mmdeploy/pose_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 pose_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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mmdeploy_pose_detector_t pose_detector{};
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int status{};
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status = mmdeploy_pose_detector_create_by_path(model_path, device_name, 0, &pose_detector);
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if (status != MMDEPLOY_SUCCESS) {
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fprintf(stderr, "failed to create pose_estimator, code: %d\n", (int)status);
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return 1;
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}
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mmdeploy_mat_t mat{
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img.data, img.rows, img.cols, 3, MMDEPLOY_PIXEL_FORMAT_BGR, MMDEPLOY_DATA_TYPE_UINT8};
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mmdeploy_pose_detection_t *res{};
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status = mmdeploy_pose_detector_apply(pose_detector, &mat, 1, &res);
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if (status != MMDEPLOY_SUCCESS) {
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fprintf(stderr, "failed to apply pose estimator, code: %d\n", (int)status);
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return 1;
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}
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for (int i = 0; i < res->length; i++) {
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cv::circle(img, {(int)res->point[i].x, (int)res->point[i].y}, 1, {0, 255, 0}, 2);
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}
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cv::imwrite("output_pose.png", img);
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mmdeploy_pose_detector_release_result(res, 1);
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mmdeploy_pose_detector_destroy(pose_detector);
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return 0;
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}
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