146 lines
4.3 KiB
C++
146 lines
4.3 KiB
C++
//
|
|
// Created by DefTruth on 2021/11/6.
|
|
//
|
|
|
|
#include "lite/lite.h"
|
|
|
|
static void test_default()
|
|
{
|
|
std::string onnx_path = "../../../hub/onnx/cv/yolox_s_v0.1.1.onnx";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_1.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_yolox_v0.1.1_1.jpg";
|
|
|
|
// 1. Test Default Engine ONNXRuntime
|
|
lite::cv::detection::YoloX_V_0_1_1 *yolox = new lite::cv::detection::YoloX_V_0_1_1(onnx_path); // default
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
yolox->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 yolox;
|
|
|
|
}
|
|
|
|
static void test_onnxruntime()
|
|
{
|
|
#ifdef ENABLE_ONNXRUNTIME
|
|
std::string onnx_path = "../../../hub/onnx/cv/yolox_s_v0.1.1.onnx";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_yolox_v0.1.1_2.jpg";
|
|
|
|
// 2. Test Specific Engine ONNXRuntime
|
|
lite::onnxruntime::cv::detection::YoloX_V_0_1_1 *yolox =
|
|
new lite::onnxruntime::cv::detection::YoloX_V_0_1_1(onnx_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
yolox->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 yolox;
|
|
#endif
|
|
}
|
|
|
|
static void test_mnn()
|
|
{
|
|
#ifdef ENABLE_MNN
|
|
std::string mnn_path = "../../../hub/mnn/cv/yolox_s_v0.1.1.mnn";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_yolox_v0.1.1_mnn_2.jpg";
|
|
|
|
// 3. Test Specific Engine MNN
|
|
lite::mnn::cv::detection::YoloX_V_0_1_1 *yolox =
|
|
new lite::mnn::cv::detection::YoloX_V_0_1_1(mnn_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
yolox->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 yolox;
|
|
#endif
|
|
}
|
|
|
|
static void test_ncnn()
|
|
{
|
|
#ifdef ENABLE_NCNN
|
|
std::string param_path = "../../../hub/ncnn/cv/yolox_s_v0.1.1.opt.param";
|
|
std::string bin_path = "../../../hub/ncnn/cv/yolox_s_v0.1.1.opt.bin";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_yolox_v0.1.1_ncnn_2.jpg";
|
|
|
|
// 4. Test Specific Engine NCNN
|
|
lite::ncnn::cv::detection::YoloX_V_0_1_1 *yolox =
|
|
new lite::ncnn::cv::detection::YoloX_V_0_1_1(param_path, bin_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
yolox->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 yolox;
|
|
#endif
|
|
}
|
|
|
|
static void test_tnn()
|
|
{
|
|
#ifdef ENABLE_TNN
|
|
std::string proto_path = "../../../hub/tnn/cv/yolox_s_v0.1.1.opt.tnnproto";
|
|
std::string model_path = "../../../hub/tnn/cv/yolox_s_v0.1.1.opt.tnnmodel";
|
|
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
|
|
std::string save_img_path = "../../../logs/test_lite_yolox_v0.1.1_tnn_2.jpg";
|
|
|
|
// 5. Test Specific Engine TNN
|
|
lite::tnn::cv::detection::YoloX_V_0_1_1 *yolox =
|
|
new lite::tnn::cv::detection::YoloX_V_0_1_1(proto_path, model_path);
|
|
|
|
std::vector<lite::types::Boxf> detected_boxes;
|
|
cv::Mat img_bgr = cv::imread(test_img_path);
|
|
yolox->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 yolox;
|
|
#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;
|
|
}
|