// Copyright (c) OpenMMLab. All rights reserved. // clang-format off #include "catch.hpp" // clang-format on #include "apis/c/text_detector.h" #include "core/logger.h" #include "opencv2/opencv.hpp" #include "test_resource.h" using namespace std; TEST_CASE("test text detector's c api", "[text-detector]") { auto test = [](const string& device, const string& model_path, const vector& img_list) { mm_handle_t handle{nullptr}; auto ret = mmdeploy_text_detector_create_by_path(model_path.c_str(), device.c_str(), 0, &handle); REQUIRE(ret == MM_SUCCESS); vector cv_mats; vector mats; for (auto& img_path : img_list) { cv::Mat mat = cv::imread(img_path); REQUIRE(!mat.empty()); cv_mats.push_back(mat); mats.push_back({mat.data, mat.rows, mat.cols, mat.channels(), MM_BGR, MM_INT8}); } mm_text_detect_t* results{nullptr}; int* result_count{nullptr}; ret = mmdeploy_text_detector_apply(handle, mats.data(), (int)mats.size(), &results, &result_count); REQUIRE(ret == MM_SUCCESS); auto result_ptr = results; for (auto i = 0; i < mats.size(); ++i) { INFO("the {}-th image has '{}' objects", i, result_count[i]); for (auto j = 0; j < result_count[i]; ++j, ++result_ptr) { auto& bbox = result_ptr->bbox; INFO(">> bbox[{}].score: {}, coordinate: ", i, result_ptr->score); for (auto& _bbox : result_ptr->bbox) { INFO(">> >> ({}, {})", _bbox.x, _bbox.y); } } } mmdeploy_text_detector_release_result(results, result_count, (int)mats.size()); mmdeploy_text_detector_destroy(handle); }; auto& gResources = MMDeployTestResources::Get(); auto img_list = gResources.LocateImageResources("mmocr/images"); REQUIRE(!img_list.empty()); for (auto& backend : gResources.backends()) { DYNAMIC_SECTION("loop backend: " << backend) { auto model_list = gResources.LocateModelResources("mmocr/textdet/" + backend); REQUIRE(!model_list.empty()); for (auto& model_path : model_list) { for (auto& device_name : gResources.device_names(backend)) { test(device_name, model_path, img_list); } } } } }