Jiale/test2_ort/examples/cv/test_lite_fcn_resnet101.cpp

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2024-05-15 18:06:07 +08:00
//
// Created by DefTruth on 2021/6/26.
//
#include "lite/lite.h"
static void test_default()
{
std::string onnx_path = "../../../hub/onnx/cv/fcn_resnet101.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
std::string save_img_path = "../../../logs/test_lite_fcn_resnet101.jpg";
lite::cv::segmentation::FCNResNet101 *fcn_resnet101 =
new lite::cv::segmentation::FCNResNet101(onnx_path, 16);
lite::types::SegmentContent content;
cv::Mat img_bgr = cv::imread(test_img_path);
fcn_resnet101->detect(img_bgr, content);
if (content.flag)
{
cv::Mat out_img;
cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
cv::imwrite(save_img_path, out_img);
if (!content.names_map.empty())
{
for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
{
std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
}
}
std::cout << "Default Version Done!" << std::endl;
}
delete fcn_resnet101;
}
static void test_onnxruntime()
{
#ifdef ENABLE_ONNXRUNTIME
std::string onnx_path = "../../../hub/onnx/cv/fcn_resnet101.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
std::string save_img_path = "../../../logs/test_onnx_fcn_resnet101.jpg";
lite::onnxruntime::cv::segmentation::FCNResNet101 *fcn_resnet101 =
new lite::onnxruntime::cv::segmentation::FCNResNet101(onnx_path, 16);
lite::types::SegmentContent content;
cv::Mat img_bgr = cv::imread(test_img_path);
fcn_resnet101->detect(img_bgr, content);
if (content.flag)
{
cv::Mat out_img;
cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
cv::imwrite(save_img_path, out_img);
if (!content.names_map.empty())
{
for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
{
std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
}
}
std::cout << "ONNXRuntime Version Done!" << std::endl;
}
delete fcn_resnet101;
#endif
}
static void test_mnn()
{
#ifdef ENABLE_MNN
std::string mnn_path = "../../../hub/mnn/cv/fcn_resnet101.mnn";
// std::string mnn_path = "../../../hub/mnn/cv/fcn_resnet101.opt.mnn";
std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
std::string save_img_path = "../../../logs/test_fcn_resnet101_mnn.jpg";
lite::mnn::cv::segmentation::FCNResNet101 *fcn_resnet101 =
new lite::mnn::cv::segmentation::FCNResNet101(mnn_path, 16);
lite::types::SegmentContent content;
cv::Mat img_bgr = cv::imread(test_img_path);
fcn_resnet101->detect(img_bgr, content);
if (content.flag)
{
cv::Mat out_img;
cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
cv::imwrite(save_img_path, out_img);
if (!content.names_map.empty())
{
for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
{
std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
}
}
std::cout << "MNN Version Done!" << std::endl;
}
delete fcn_resnet101;
#endif
}
static void test_ncnn()
{
#ifdef ENABLE_NCNN
std::string param_path = "../../../hub/ncnn/cv/fcn_resnet101.opt.param";
std::string bin_path = "../../../hub/ncnn/cv/fcn_resnet101.opt.bin";
std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
std::string save_img_path = "../../../logs/test_fcn_resnet101_ncnn.jpg";
lite::ncnn::cv::segmentation::FCNResNet101 *fcn_resnet101 =
new lite::ncnn::cv::segmentation::FCNResNet101(param_path, bin_path, 16);
lite::types::SegmentContent content;
cv::Mat img_bgr = cv::imread(test_img_path);
fcn_resnet101->detect(img_bgr, content);
if (content.flag)
{
cv::Mat out_img;
cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
cv::imwrite(save_img_path, out_img);
if (!content.names_map.empty())
{
for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
{
std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
}
}
std::cout << "NCNN Version Done!" << std::endl;
}
delete fcn_resnet101;
#endif
}
static void test_tnn()
{
#ifdef ENABLE_TNN
std::string proto_path = "../../../hub/tnn/cv/fcn_resnet101.opt.tnnproto";
std::string model_path = "../../../hub/tnn/cv/fcn_resnet101.opt.tnnmodel";
std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
std::string save_img_path = "../../../logs/test_fcn_resnet101_tnn.jpg";
lite::tnn::cv::segmentation::FCNResNet101 *fcn_resnet101 =
new lite::tnn::cv::segmentation::FCNResNet101(proto_path, model_path, 16);
lite::types::SegmentContent content;
cv::Mat img_bgr = cv::imread(test_img_path);
fcn_resnet101->detect(img_bgr, content);
if (content.flag)
{
cv::Mat out_img;
cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
cv::imwrite(save_img_path, out_img);
if (!content.names_map.empty())
{
for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
{
std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
}
}
std::cout << "TNN Version Done!" << std::endl;
}
delete fcn_resnet101;
#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;
}