35 lines
1.1 KiB
C++
35 lines
1.1 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#include <fstream>
|
|
|
|
#include "apis/c/segmentor.h"
|
|
#include "catch.hpp"
|
|
#include "opencv2/opencv.hpp"
|
|
|
|
using namespace std;
|
|
|
|
TEST_CASE("test segmentor's c api", "[segmentor]") {
|
|
mm_handle_t handle{nullptr};
|
|
const auto model_path = "../../config/segmentor/fcn_t4-cuda11.1-trt7.2-fp16";
|
|
auto ret = mmdeploy_segmentor_create_by_path(model_path, "cuda", 0, &handle);
|
|
REQUIRE(ret == MM_SUCCESS);
|
|
|
|
cv::Mat mat = cv::imread("../../tests/data/images/dogs.jpg");
|
|
vector<mm_mat_t> mats{{mat.data, mat.rows, mat.cols, mat.channels(), MM_BGR, MM_INT8}};
|
|
|
|
mm_segment_t* results{nullptr};
|
|
int count = 0;
|
|
ret = mmdeploy_segmentor_apply(handle, mats.data(), (int)mats.size(), &results);
|
|
REQUIRE(ret == MM_SUCCESS);
|
|
REQUIRE(results != nullptr);
|
|
|
|
auto result_ptr = results;
|
|
for (auto i = 0; i < mats.size(); ++i) {
|
|
cv::Mat mask(result_ptr->height, result_ptr->width, CV_32SC1, result_ptr->mask);
|
|
cv::imwrite("mask.png", mask * 10);
|
|
}
|
|
|
|
mmdeploy_segmentor_release_result(results, (int)mats.size());
|
|
mmdeploy_segmentor_destroy(handle);
|
|
}
|