146 lines
4.2 KiB
C++
146 lines
4.2 KiB
C++
//
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// Created by DefTruth on 2021/6/21.
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//
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#include "lite/lite.h"
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static void test_default()
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{
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std::string onnx_path = "../../../hub/onnx/cv/yolov5s.onnx";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_1.jpg";
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std::string save_img_path = "../../../logs/test_lite_yolov5_1.jpg";
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// 1. Test Default Engine ONNXRuntime
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lite::cv::detection::YoloV5 *yolov5 = new lite::cv::detection::YoloV5(onnx_path); // default
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std::vector<lite::types::Boxf> detected_boxes;
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cv::Mat img_bgr = cv::imread(test_img_path);
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yolov5->detect(img_bgr, detected_boxes);
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lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
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cv::imwrite(save_img_path, img_bgr);
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std::cout << "Default Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
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delete yolov5;
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}
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static void test_onnxruntime()
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{
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#ifdef ENABLE_ONNXRUNTIME
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std::string onnx_path = "../../../hub/onnx/cv/yolov5s.onnx";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
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std::string save_img_path = "../../../logs/test_lite_yolov5_2.jpg";
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// 2. Test Specific Engine ONNXRuntime
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lite::onnxruntime::cv::detection::YoloV5 *yolov5 =
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new lite::onnxruntime::cv::detection::YoloV5(onnx_path);
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std::vector<lite::types::Boxf> detected_boxes;
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cv::Mat img_bgr = cv::imread(test_img_path);
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yolov5->detect(img_bgr, detected_boxes);
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lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
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cv::imwrite(save_img_path, img_bgr);
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std::cout << "ONNXRuntime Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
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delete yolov5;
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#endif
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}
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static void test_mnn()
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{
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#ifdef ENABLE_MNN
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std::string mnn_path = "../../../hub/mnn/cv/yolov5s.mnn";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
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std::string save_img_path = "../../../logs/test_lite_yolov5_2_mnn.jpg";
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// 3. Test Specific Engine MNN
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lite::mnn::cv::detection::YoloV5 *yolov5 =
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new lite::mnn::cv::detection::YoloV5(mnn_path);
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std::vector<lite::types::Boxf> detected_boxes;
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cv::Mat img_bgr = cv::imread(test_img_path);
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yolov5->detect(img_bgr, detected_boxes);
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lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
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cv::imwrite(save_img_path, img_bgr);
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std::cout << "MNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
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delete yolov5;
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#endif
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}
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static void test_ncnn()
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{
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#ifdef ENABLE_NCNN
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std::string param_path = "../../../hub/ncnn/cv/yolov5s.opt.param";
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std::string bin_path = "../../../hub/ncnn/cv/yolov5s.opt.bin";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
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std::string save_img_path = "../../../logs/test_lite_yolov5_2_ncnn.jpg";
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// 4. Test Specific Engine NCNN
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lite::ncnn::cv::detection::YoloV5 *yolov5 =
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new lite::ncnn::cv::detection::YoloV5(param_path, bin_path);
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std::vector<lite::types::Boxf> detected_boxes;
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cv::Mat img_bgr = cv::imread(test_img_path);
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yolov5->detect(img_bgr, detected_boxes);
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lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
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cv::imwrite(save_img_path, img_bgr);
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std::cout << "NCNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
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delete yolov5;
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#endif
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}
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static void test_tnn()
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{
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#ifdef ENABLE_TNN
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std::string proto_path = "../../../hub/tnn/cv/yolov5s.opt.tnnproto";
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std::string model_path = "../../../hub/tnn/cv/yolov5s.opt.tnnmodel";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_yolov5_2.jpg";
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std::string save_img_path = "../../../logs/test_lite_yolov5_2_tnn.jpg";
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// 5. Test Specific Engine TNN
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lite::tnn::cv::detection::YoloV5 *yolov5 =
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new lite::tnn::cv::detection::YoloV5(proto_path, model_path);
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std::vector<lite::types::Boxf> detected_boxes;
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cv::Mat img_bgr = cv::imread(test_img_path);
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yolov5->detect(img_bgr, detected_boxes);
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lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
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cv::imwrite(save_img_path, img_bgr);
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std::cout << "TNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
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delete yolov5;
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#endif
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}
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static void test_lite()
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{
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test_default();
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test_onnxruntime();
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test_mnn();
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test_ncnn();
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test_tnn();
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}
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int main(__unused int argc, __unused char *argv[])
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{
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test_lite();
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return 0;
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}
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