37 lines
1.2 KiB
C++
37 lines
1.2 KiB
C++
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// Copyright (c) OpenMMLab. All rights reserved.
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#include <fstream>
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// clang-format off
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#include "catch.hpp"
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// clang-format on
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#include "apis/c/classifier.h"
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#include "apis/c/model.h"
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#include "core/logger.h"
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#include "opencv2/opencv.hpp"
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using namespace std;
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TEST_CASE("test classifier's c api", "[classifier]") {
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mm_handle_t handle{nullptr};
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auto model_path = "../../config/classifier/resnet50_t4-cuda11.1-trt7.2-fp32";
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// auto ret = mmdeploy_classifier_create_by_path(model_path, "cuda", 0, &handle);
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mm_model_t model{};
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auto ret = mmdeploy_model_create_by_path(model_path, &model);
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REQUIRE(ret == MM_SUCCESS);
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ret = mmdeploy_classifier_create(model, "cuda", 0, &handle);
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REQUIRE(ret == MM_SUCCESS);
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cv::Mat mat = cv::imread("../../tests/data/images/dogs.jpg");
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vector<mm_mat_t> mats{{mat.data, mat.rows, mat.cols, mat.channels(), MM_BGR, MM_INT8}};
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mm_class_t* results{nullptr};
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int* result_count{nullptr};
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ret = mmdeploy_classifier_apply(handle, mats.data(), (int)mats.size(), &results, &result_count);
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REQUIRE(ret == MM_SUCCESS);
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INFO("label: {}, score: {}", results->label_id, results->score);
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mmdeploy_classifier_release_result(results, result_count, (int)mats.size());
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mmdeploy_classifier_destroy(handle);
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}
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