image_classification.cpp

#include <fstream>
#include <opencv2/imgcodecs/imgcodecs.hpp>
#include <string>

#include "mmdeploy/classifier.h"

int main(int argc, char* argv[]) {
  if (argc != 4) {
    fprintf(stderr, "usage:\n  image_classification device_name dump_model_directory 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_classifier_t classifier{};
  int status{};
  status = mmdeploy_classifier_create_by_path(model_path, device_name, 0, &classifier);
  if (status != MMDEPLOY_SUCCESS) {
    fprintf(stderr, "failed to create classifier, 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_classification_t* res{};
  int* res_count{};
  status = mmdeploy_classifier_apply(classifier, &mat, 1, &res, &res_count);
  if (status != MMDEPLOY_SUCCESS) {
    fprintf(stderr, "failed to apply classifier, code: %d\n", (int)status);
    return 1;
  }
  for (int i = 0; i < res_count[0]; ++i) {
    fprintf(stderr, "label: %d, score: %.4f\n", res[i].label_id, res[i].score);
  }

  mmdeploy_classifier_release_result(res, res_count, 1);

  mmdeploy_classifier_destroy(classifier);

  return 0;
}