mmdeploy/tests/test_csrc/capi/test_segmentor.cpp

62 lines
2.1 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
// clang-format off
#include "catch.hpp"
// clang-format on
#include "mmdeploy/apis/c/mmdeploy/segmentor.h"
#include "opencv2/opencv.hpp"
#include "test_resource.h"
using namespace std;
TEST_CASE("test segmentor's c api", "[.segmentor][resource]") {
auto test = [](const string &device, const string &backend, const string &model_path,
const vector<string> &img_list) {
mmdeploy_segmentor_t segmentor{nullptr};
auto ret = mmdeploy_segmentor_create_by_path(model_path.c_str(), device.c_str(), 0, &segmentor);
REQUIRE(ret == MMDEPLOY_SUCCESS);
vector<cv::Mat> cv_mats;
vector<mmdeploy_mat_t> 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(), MMDEPLOY_PIXEL_FORMAT_BGR,
MMDEPLOY_DATA_TYPE_UINT8});
}
mmdeploy_segmentation_t *results{nullptr};
int count = 0;
ret = mmdeploy_segmentor_apply(segmentor, mats.data(), (int)mats.size(), &results);
REQUIRE(ret == MMDEPLOY_SUCCESS);
REQUIRE(results != nullptr);
auto result_ptr = results;
for (auto i = 0; i < mats.size(); ++i, ++result_ptr) {
cv::Mat mask(result_ptr->height, result_ptr->width, CV_32SC1, result_ptr->mask);
cv::imwrite("mask_" + backend + "_" + to_string(i) + ".png", mask * 10);
}
mmdeploy_segmentor_release_result(results, (int)mats.size());
mmdeploy_segmentor_destroy(segmentor);
};
auto gResources = MMDeployTestResources::Get();
auto img_lists = gResources.LocateImageResources(fs::path{"mmseg"} / "images");
REQUIRE(!img_lists.empty());
for (auto &backend : gResources.backends()) {
DYNAMIC_SECTION("loop backend: " << backend) {
auto model_list = gResources.LocateModelResources(fs::path{"mmseg"} / backend);
REQUIRE(!model_list.empty());
for (auto &model_path : model_list) {
for (auto &device_name : gResources.device_names(backend)) {
test(device_name, backend, model_path, img_lists);
}
}
}
}
}