61 lines
2.0 KiB
C++
61 lines
2.0 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 "mmdeploy/apis/c/segmentor.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 segmentor's c api", "[.segmentor][resource]") {
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auto test = [](const string &device, const string &backend, const string &model_path,
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const vector<string> &img_list) {
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mm_handle_t handle{nullptr};
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auto ret = mmdeploy_segmentor_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_segment_t *results{nullptr};
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int count = 0;
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ret = mmdeploy_segmentor_apply(handle, mats.data(), (int)mats.size(), &results);
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REQUIRE(ret == MM_SUCCESS);
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REQUIRE(results != nullptr);
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auto result_ptr = results;
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for (auto i = 0; i < mats.size(); ++i, ++result_ptr) {
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cv::Mat mask(result_ptr->height, result_ptr->width, CV_32SC1, result_ptr->mask);
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cv::imwrite("mask_" + backend + "_" + to_string(i) + ".png", mask * 10);
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}
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mmdeploy_segmentor_release_result(results, (int)mats.size());
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mmdeploy_segmentor_destroy(handle);
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};
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auto gResources = MMDeployTestResources::Get();
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auto img_lists = gResources.LocateImageResources(fs::path{"mmseg"} / "images");
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REQUIRE(!img_lists.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{"mmseg"} / 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, backend, model_path, img_lists);
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}
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}
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}
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}
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}
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