144 lines
4.5 KiB
C++
144 lines
4.5 KiB
C++
//
|
|
// Created by DefTruth on 2021/12/27.
|
|
//
|
|
|
|
#include "lite/lite.h"
|
|
|
|
static void test_default()
|
|
{
|
|
std::string onnx_path = "../../../hub/onnx/cv/nanodet-plus-m-1.5x_320.onnx";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_1.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_nanodet_plus_1.jpg";
|
|
|
|
// 1. Test Default Engine ONNXRuntime
|
|
lite::cv::detection::NanoDetPlus *nanodet_plus = new lite::cv::detection::NanoDetPlus(onnx_path); // default
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
nanodet_plus->detect(img_bgr, detected_boxes);
|
|
|
|
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
|
|
|
|
cv::imwrite(save_img_path, img_bgr);
|
|
|
|
std::cout << "Default Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
|
|
|
|
delete nanodet_plus;
|
|
|
|
}
|
|
|
|
static void test_onnxruntime()
|
|
{
|
|
#ifdef ENABLE_ONNXRUNTIME
|
|
std::string onnx_path = "../../../hub/onnx/cv/nanodet-plus-m-1.5x_320.onnx";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_nanodet_plus_2.jpg";
|
|
|
|
// 2. Test Specific Engine ONNXRuntime
|
|
lite::onnxruntime::cv::detection::NanoDetPlus *nanodet_plus =
|
|
new lite::onnxruntime::cv::detection::NanoDetPlus(onnx_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
nanodet_plus->detect(img_bgr, detected_boxes);
|
|
|
|
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
|
|
|
|
cv::imwrite(save_img_path, img_bgr);
|
|
|
|
std::cout << "ONNXRuntime Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
|
|
|
|
delete nanodet_plus;
|
|
#endif
|
|
}
|
|
|
|
static void test_mnn()
|
|
{
|
|
#ifdef ENABLE_MNN
|
|
std::string mnn_path = "../../../hub/mnn/cv/nanodet-plus-m-1.5x_320.mnn";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_nanodet_plus_mnn_2.jpg";
|
|
|
|
// 3. Test Specific Engine MNN
|
|
lite::mnn::cv::detection::NanoDetPlus *nanodet_plus =
|
|
new lite::mnn::cv::detection::NanoDetPlus(mnn_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
nanodet_plus->detect(img_bgr, detected_boxes);
|
|
|
|
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
|
|
cv::imwrite(save_img_path, img_bgr);
|
|
|
|
std::cout << "MNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
|
|
|
|
delete nanodet_plus;
|
|
#endif
|
|
}
|
|
|
|
static void test_ncnn()
|
|
{
|
|
#ifdef ENABLE_NCNN
|
|
std::string param_path = "../../../hub/ncnn/cv/nanodet-plus-m-1.5x_320.opt.param";
|
|
std::string bin_path = "../../../hub/ncnn/cv/nanodet-plus-m-1.5x_320.opt.bin";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_nanodet_plus_ncnn_2.jpg";
|
|
|
|
// 4. Test Specific Engine NCNN
|
|
lite::ncnn::cv::detection::NanoDetPlus *nanodet_plus =
|
|
new lite::ncnn::cv::detection::NanoDetPlus(
|
|
param_path, bin_path, 1, 320, 320);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
nanodet_plus->detect(img_bgr, detected_boxes);
|
|
|
|
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
|
|
cv::imwrite(save_img_path, img_bgr);
|
|
|
|
std::cout << "NCNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
|
|
|
|
delete nanodet_plus;
|
|
#endif
|
|
}
|
|
|
|
static void test_tnn()
|
|
{
|
|
#ifdef ENABLE_TNN
|
|
std::string proto_path = "../../../hub/tnn/cv/nanodet-plus-m-1.5x_320.opt.tnnproto";
|
|
std::string model_path = "../../../hub/tnn/cv/nanodet-plus-m-1.5x_320.opt.tnnmodel";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_nanodet_plus_tnn_2.jpg";
|
|
|
|
// 4. Test Specific Engine TNN
|
|
lite::tnn::cv::detection::NanoDetPlus *nanodet_plus =
|
|
new lite::tnn::cv::detection::NanoDetPlus(proto_path, model_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
nanodet_plus->detect(img_bgr, detected_boxes);
|
|
|
|
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
|
|
cv::imwrite(save_img_path, img_bgr);
|
|
|
|
std::cout << "TNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
|
|
|
|
delete nanodet_plus;
|
|
#endif
|
|
}
|
|
|
|
static void test_lite()
|
|
{
|
|
test_default();
|
|
test_onnxruntime();
|
|
test_mnn();
|
|
test_ncnn();
|
|
test_tnn();
|
|
}
|
|
|
|
int main(__unused int argc, __unused char *argv[])
|
|
{
|
|
test_lite();
|
|
return 0;
|
|
}
|