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test_lite_yolov5_v6.0.cpp
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test_lite_yolov5_v6.0.cpp
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//
// Created by DefTruth on 2021/11/11.
//
#include "lite/lite.h"
static void test_default()
{
std::string onnx_path = "../../../examples/hub/onnx/cv/yolov5s.640-640.v.6.0.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_1.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov5_v6.0_1.jpg";
// 1. Test Default Engine ONNXRuntime
lite::cv::detection::YoloV5_V_6_0 *yolov5 = new lite::cv::detection::YoloV5_V_6_0(onnx_path); // default
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov5->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 yolov5;
}
static void test_onnxruntime()
{
#ifdef ENABLE_ONNXRUNTIME
std::string onnx_path = "../../../examples/hub/onnx/cv/yolov5s.640-640.v.6.0.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov5_v6.0_2.jpg";
// 2. Test Specific Engine ONNXRuntime
lite::onnxruntime::cv::detection::YoloV5_V_6_0 *yolov5 =
new lite::onnxruntime::cv::detection::YoloV5_V_6_0(onnx_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov5->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 yolov5;
#endif
}
static void test_mnn()
{
#ifdef ENABLE_MNN
std::string mnn_path = "../../../examples/hub/mnn/cv/yolov5s.640-640.v.6.0.mnn";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov5_v6.0_2_mnn.jpg";
// 3. Test Specific Engine MNN
lite::mnn::cv::detection::YoloV5_V_6_0 *yolov5 =
new lite::mnn::cv::detection::YoloV5_V_6_0(mnn_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov5->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 yolov5;
#endif
}
static void test_ncnn()
{
#ifdef ENABLE_NCNN
std::string param_path = "../../../examples/hub/ncnn/cv/yolov5s.640-640.v.6.0.opt.param";
std::string bin_path = "../../../examples/hub/ncnn/cv/yolov5s.640-640.v.6.0.opt.bin";
// std::string param_path = "../../../examples/hub/ncnn/cv/yolov5s6.640-640.v.6.0.opt.param";
// std::string bin_path = "../../../examples/hub/ncnn/cv/yolov5s6.640-640.v.6.0.opt.bin";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov5_v6.0_2_ncnn.jpg";
// 4. Test Specific Engine NCNN
if (param_path.find("s6") == std::string::npos)
{
lite::ncnn::cv::detection::YoloV5_V_6_0 *yolov5 =
new lite::ncnn::cv::detection::YoloV5_V_6_0(param_path, bin_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov5->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 yolov5;
} // p6
else
{
lite::ncnn::cv::detection::YoloV5_V_6_0_P6 *yolov5 =
new lite::ncnn::cv::detection::YoloV5_V_6_0_P6(param_path, bin_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov5->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 yolov5;
}
#endif
}
static void test_tnn()
{
#ifdef ENABLE_TNN
std::string proto_path = "../../../examples/hub/tnn/cv/yolov5s.640-640.v.6.0.opt.tnnproto";
std::string model_path = "../../../examples/hub/tnn/cv/yolov5s.640-640.v.6.0.opt.tnnmodel";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov5_v6.0_2_tnn.jpg";
// 5. Test Specific Engine TNN
lite::tnn::cv::detection::YoloV5_V_6_0 *yolov5 =
new lite::tnn::cv::detection::YoloV5_V_6_0(proto_path, model_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov5->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 yolov5;
#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;
}