43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
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// Copyright (c) OpenMMLab. All rights reserved.
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#include <fstream>
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#include <iostream>
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#include "apis/c/text_detector.h"
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#include "catch.hpp"
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#include "opencv2/opencv.hpp"
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using namespace std;
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TEST_CASE("test text detector's c api", "[text-detector]") {
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mm_handle_t handle{nullptr};
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auto model_path = "../../config/text-detector/dbnet18_t4-cuda11.1-trt7.2-fp16";
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auto ret = mmdeploy_text_detector_create_by_path(model_path, "cuda", 0, &handle);
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REQUIRE(ret == MM_SUCCESS);
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cv::Mat mat = cv::imread("../../tests/data/images/ocr.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_text_detect_t* results{nullptr};
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int* result_count{nullptr};
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ret =
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mmdeploy_text_detector_apply(handle, mats.data(), (int)mats.size(), &results, &result_count);
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REQUIRE(ret == MM_SUCCESS);
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auto result_ptr = results;
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for (auto i = 0; i < mats.size(); ++i) {
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cout << "the " << i << "-th image has '" << result_count[i] << "' objects" << endl;
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for (auto j = 0; j < result_count[i]; ++j, ++result_ptr) {
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auto& bbox = result_ptr->bbox;
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cout << ">> bbox[" << j << "].score: " << result_ptr->score << ", coordinate: ";
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for (auto k = 0; k < 4; ++k) {
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auto& bbox = result_ptr->bbox[k];
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cout << "(" << bbox.x << ", " << bbox.y << "), ";
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}
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cout << endl;
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}
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}
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mmdeploy_text_detector_release_result(results, result_count, (int)mats.size());
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mmdeploy_text_detector_destroy(handle);
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}
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