49 lines
1.4 KiB
C++
49 lines
1.4 KiB
C++
#include <fstream>
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#include <opencv2/imgcodecs/imgcodecs.hpp>
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#include <string>
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#include "mmdeploy/classifier.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_classification device_name dump_model_directory 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_classifier_t classifier{};
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int status{};
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status = mmdeploy_classifier_create_by_path(model_path, device_name, 0, &classifier);
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if (status != MMDEPLOY_SUCCESS) {
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fprintf(stderr, "failed to create classifier, 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_classification_t* res{};
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int* res_count{};
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status = mmdeploy_classifier_apply(classifier, &mat, 1, &res, &res_count);
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if (status != MMDEPLOY_SUCCESS) {
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fprintf(stderr, "failed to apply classifier, 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_count[0]; ++i) {
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fprintf(stderr, "label: %d, score: %.4f\n", res[i].label_id, res[i].score);
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}
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mmdeploy_classifier_release_result(res, res_count, 1);
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mmdeploy_classifier_destroy(classifier);
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return 0;
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}
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