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test_lite_nanodet_efficientnet_lite.cpp
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//
// Created by DefTruth on 2021/10/5.
//
#include "lite/lite.h"
static void test_default()
{
std::string onnx_path = "../../../examples/hub/onnx/cv/nanodet-EfficientNet-Lite2_512.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_1.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_nanodet_efficientnet_lite_1.jpg";
// 1. Test Default Engine ONNXRuntime
lite::cv::detection::NanoDetEfficientNetLite *nanodet =
new lite::cv::detection::NanoDetEfficientNetLite(onnx_path); // default
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
nanodet->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;
}
static void test_onnxruntime()
{
#ifdef ENABLE_ONNXRUNTIME
std::string onnx_path = "../../../examples/hub/onnx/cv/nanodet-EfficientNet-Lite2_512.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_nanodet_efficientnet_lite_2.jpg";
// 2. Test Specific Engine ONNXRuntime
lite::onnxruntime::cv::detection::NanoDetEfficientNetLite *nanodet =
new lite::onnxruntime::cv::detection::NanoDetEfficientNetLite(onnx_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
nanodet->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;
#endif
}
static void test_mnn()
{
#ifdef ENABLE_MNN
std::string mnn_path = "../../../examples/hub/mnn/cv/nanodet-EfficientNet-Lite2_512.mnn";
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_nanodet_efficientnet_lite_mnn_2.jpg";
// 3. Test Specific Engine MNN
lite::mnn::cv::detection::NanoDetEfficientNetLite *nanodet =
new lite::mnn::cv::detection::NanoDetEfficientNetLite(mnn_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
nanodet->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;
#endif
}
static void test_ncnn()
{
#ifdef ENABLE_NCNN
std::string param_path = "../../../examples/hub/ncnn/cv/nanodet-EfficientNet-Lite2_512-opt.param";
std::string bin_path = "../../../examples/hub/ncnn/cv/nanodet-EfficientNet-Lite2_512-opt.bin";
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_nanodet_efficientnet_lite_ncnn_2.jpg";
// 4. Test Specific Engine NCNN
lite::ncnn::cv::detection::NanoDetEfficientNetLite *nanodet =
new lite::ncnn::cv::detection::NanoDetEfficientNetLite(
param_path, bin_path,1, 512, 512);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
nanodet->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;
#endif
}
static void test_tnn()
{
#ifdef ENABLE_TNN
std::string proto_path = "../../../examples/hub/tnn/cv/nanodet-EfficientNet-Lite2_512.opt.tnnproto";
std::string model_path = "../../../examples/hub/tnn/cv/nanodet-EfficientNet-Lite2_512.opt.tnnmodel";
std::string test_img_path = "../../../examples/lite/resources/test_lite_detection_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_nanodet_efficientnet_lite_tnn_2.jpg";
// 4. Test Specific Engine TNN
lite::tnn::cv::detection::NanoDetEfficientNetLite *nanodet =
new lite::tnn::cv::detection::NanoDetEfficientNetLite(proto_path, model_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
nanodet->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;
#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;
}