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* minor changes * support windows * fix GCC build * fix lint * reformat * fix Windows build * fix GCC build * search backend ops for onnxruntime * fix lint * fix lint * code clean-up * code clean-up * fix clang build * fix trt support * fix cmake for ncnn * fix cmake for openvino * fix SDK Python API * handle ops for other backends (ncnn, trt) * handle SDK Python API library location * robustify linkage * fix cuda * minor fix for openvino & ncnn * use CMAKE_CUDA_ARCHITECTURES if set * fix cuda preprocessor * fix misc * fix pplnn & pplcv, drop support for pplcv<0.6.0 * robustify cmake * update build.md (#2) * build dynamic modules as module library & fix demo (partially) * fix candidate path for mmdeploy_python * move "enable CUDA" to cmake config for demo * refine demo cmake * add comment * fix ubuntu build * revert docs/en/build.md * fix C API * fix lint * Windows build doc (#3) * check in docs related to mmdeploy build on windows * update build guide on windows platform * update build guide on windows platform * make path of thirdparty libraries consistent * make path consistency * correct build command for custom ops * correct build command for sdk * update sdk build instructions * update doc * correct build command * fix lint * correct build command and fix lint Co-authored-by: lvhan <lvhan@pjlab.org> * trailing whitespace (#4) * minor fix * fix sr sdk model * fix type deduction * fix cudaFree after driver shutting down * update ppl.cv installation warning (#5) * fix device allocator threshold & fix lint * update doc (#6) * update ppl.cv installation warning * missing 'git clone' Co-authored-by: chenxin <chenxin2@sensetime.com> Co-authored-by: zhangli <zhangli@sensetime.com> Co-authored-by: lvhan028 <lvhan_028@163.com> Co-authored-by: lvhan <lvhan@pjlab.org>
67 lines
2.3 KiB
C++
67 lines
2.3 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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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/text_detector.h"
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#include "core/logger.h"
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#include "opencv2/opencv.hpp"
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#include "test_resource.h"
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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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auto test = [](const string& device, const string& model_path, const vector<string>& img_list) {
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mm_handle_t handle{nullptr};
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auto ret =
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mmdeploy_text_detector_create_by_path(model_path.c_str(), device.c_str(), 0, &handle);
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REQUIRE(ret == MM_SUCCESS);
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vector<cv::Mat> cv_mats;
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vector<mm_mat_t> mats;
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for (auto& img_path : img_list) {
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cv::Mat mat = cv::imread(img_path);
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REQUIRE(!mat.empty());
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cv_mats.push_back(mat);
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mats.push_back({mat.data, mat.rows, mat.cols, mat.channels(), MM_BGR, MM_INT8});
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}
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mm_text_detect_t* results{nullptr};
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int* result_count{nullptr};
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ret = mmdeploy_text_detector_apply(handle, mats.data(), (int)mats.size(), &results,
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&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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MMDEPLOY_INFO("the {}-th image has '{}' objects", i, result_count[i]);
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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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MMDEPLOY_INFO(">> bbox[{}].score: {}, coordinate: ", i, result_ptr->score);
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for (auto& _bbox : result_ptr->bbox) {
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MMDEPLOY_INFO(">> >> ({}, {})", _bbox.x, _bbox.y);
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}
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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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auto& gResources = MMDeployTestResources::Get();
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auto img_list = gResources.LocateImageResources(fs::path{"mmocr"} / "images");
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REQUIRE(!img_list.empty());
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for (auto& backend : gResources.backends()) {
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DYNAMIC_SECTION("loop backend: " << backend) {
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auto model_list = gResources.LocateModelResources(fs::path{"mmocr"} / "textdet" / "backend");
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REQUIRE(!model_list.empty());
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for (auto& model_path : model_list) {
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for (auto& device_name : gResources.device_names(backend)) {
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test(device_name, model_path, img_list);
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}
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}
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}
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}
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}
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