187 lines
5.6 KiB
C++
187 lines
5.6 KiB
C++
//
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// Created by DefTruth on 2021/6/26.
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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/fcn_resnet101.onnx";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
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std::string save_img_path = "../../../logs/test_lite_fcn_resnet101.jpg";
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lite::cv::segmentation::FCNResNet101 *fcn_resnet101 =
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new lite::cv::segmentation::FCNResNet101(onnx_path, 16);
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lite::types::SegmentContent content;
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cv::Mat img_bgr = cv::imread(test_img_path);
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fcn_resnet101->detect(img_bgr, content);
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if (content.flag)
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{
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cv::Mat out_img;
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cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
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cv::imwrite(save_img_path, out_img);
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if (!content.names_map.empty())
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{
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for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
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{
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std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
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}
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}
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std::cout << "Default Version Done!" << std::endl;
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}
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delete fcn_resnet101;
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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/fcn_resnet101.onnx";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
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std::string save_img_path = "../../../logs/test_onnx_fcn_resnet101.jpg";
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lite::onnxruntime::cv::segmentation::FCNResNet101 *fcn_resnet101 =
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new lite::onnxruntime::cv::segmentation::FCNResNet101(onnx_path, 16);
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lite::types::SegmentContent content;
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cv::Mat img_bgr = cv::imread(test_img_path);
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fcn_resnet101->detect(img_bgr, content);
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if (content.flag)
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{
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cv::Mat out_img;
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cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
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cv::imwrite(save_img_path, out_img);
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if (!content.names_map.empty())
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{
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for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
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{
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std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
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}
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}
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std::cout << "ONNXRuntime Version Done!" << std::endl;
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}
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delete fcn_resnet101;
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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/fcn_resnet101.mnn";
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// std::string mnn_path = "../../../hub/mnn/cv/fcn_resnet101.opt.mnn";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
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std::string save_img_path = "../../../logs/test_fcn_resnet101_mnn.jpg";
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lite::mnn::cv::segmentation::FCNResNet101 *fcn_resnet101 =
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new lite::mnn::cv::segmentation::FCNResNet101(mnn_path, 16);
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lite::types::SegmentContent content;
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cv::Mat img_bgr = cv::imread(test_img_path);
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fcn_resnet101->detect(img_bgr, content);
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if (content.flag)
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{
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cv::Mat out_img;
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cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
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cv::imwrite(save_img_path, out_img);
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if (!content.names_map.empty())
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{
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for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
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{
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std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
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}
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}
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std::cout << "MNN Version Done!" << std::endl;
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}
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delete fcn_resnet101;
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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/fcn_resnet101.opt.param";
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std::string bin_path = "../../../hub/ncnn/cv/fcn_resnet101.opt.bin";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
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std::string save_img_path = "../../../logs/test_fcn_resnet101_ncnn.jpg";
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lite::ncnn::cv::segmentation::FCNResNet101 *fcn_resnet101 =
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new lite::ncnn::cv::segmentation::FCNResNet101(param_path, bin_path, 16);
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lite::types::SegmentContent content;
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cv::Mat img_bgr = cv::imread(test_img_path);
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fcn_resnet101->detect(img_bgr, content);
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if (content.flag)
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{
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cv::Mat out_img;
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cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
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cv::imwrite(save_img_path, out_img);
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if (!content.names_map.empty())
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{
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for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
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{
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std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
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}
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}
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std::cout << "NCNN Version Done!" << std::endl;
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}
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delete fcn_resnet101;
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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/fcn_resnet101.opt.tnnproto";
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std::string model_path = "../../../hub/tnn/cv/fcn_resnet101.opt.tnnmodel";
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std::string test_img_path = "../../../examples/lite/resources/test_lite_fcn_resnet101.png";
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std::string save_img_path = "../../../logs/test_fcn_resnet101_tnn.jpg";
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lite::tnn::cv::segmentation::FCNResNet101 *fcn_resnet101 =
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new lite::tnn::cv::segmentation::FCNResNet101(proto_path, model_path, 16);
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lite::types::SegmentContent content;
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cv::Mat img_bgr = cv::imread(test_img_path);
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fcn_resnet101->detect(img_bgr, content);
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if (content.flag)
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{
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cv::Mat out_img;
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cv::addWeighted(img_bgr, 0.2, content.color_mat, 0.8, 0., out_img);
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cv::imwrite(save_img_path, out_img);
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if (!content.names_map.empty())
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{
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for (auto it = content.names_map.begin(); it != content.names_map.end(); ++it)
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{
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std::cout << "Detected Label: " << it->first << " Name: " << it->second << std::endl;
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}
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}
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std::cout << "TNN Version Done!" << std::endl;
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}
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delete fcn_resnet101;
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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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