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test_lite_mobilese_focal_face.cpp
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test_lite_mobilese_focal_face.cpp
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//
// Created by DefTruth on 2021/7/24.
//
#include "lite/lite.h"
static void test_default()
{
std::string onnx_path = "../../../examples/hub/onnx/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.onnx";
std::string test_img_path0 = "../../../examples/lite/resources/test_lite_faceid_0.png";
std::string test_img_path1 = "../../../examples/lite/resources/test_lite_faceid_1.png";
lite::cv::faceid::MobileSEFocalFace *mobilese_focal_face =
new lite::cv::faceid::MobileSEFocalFace(onnx_path);
lite::types::FaceContent face_content0, face_content1;
cv::Mat img_bgr0 = cv::imread(test_img_path0);
cv::Mat img_bgr1 = cv::imread(test_img_path1);
mobilese_focal_face->detect(img_bgr0, face_content0);
mobilese_focal_face->detect(img_bgr1, face_content1);
if (face_content0.flag && face_content1.flag)
{
float sim = lite::utils::math::cosine_similarity<float>(
face_content0.embedding, face_content1.embedding);
std::cout << "Default Version Detected Sim: " << sim << std::endl;
}
delete mobilese_focal_face;
}
static void test_onnxruntime()
{
#ifdef ENABLE_ONNXRUNTIME
std::string onnx_path = "../../../examples/hub/onnx/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.onnx";
std::string test_img_path0 = "../../../examples/lite/resources/test_lite_faceid_0.png";
std::string test_img_path1 = "../../../examples/lite/resources/test_lite_faceid_2.png";
lite::onnxruntime::cv::faceid::MobileSEFocalFace *mobilese_focal_face =
new lite::onnxruntime::cv::faceid::MobileSEFocalFace(onnx_path);
lite::types::FaceContent face_content0, face_content1;
cv::Mat img_bgr0 = cv::imread(test_img_path0);
cv::Mat img_bgr1 = cv::imread(test_img_path1);
mobilese_focal_face->detect(img_bgr0, face_content0);
mobilese_focal_face->detect(img_bgr1, face_content1);
if (face_content0.flag && face_content1.flag)
{
float sim = lite::utils::math::cosine_similarity<float>(
face_content0.embedding, face_content1.embedding);
std::cout << "ONNXRuntime Version Detected Sim: " << sim << std::endl;
}
delete mobilese_focal_face;
#endif
}
static void test_mnn()
{
#ifdef ENABLE_MNN
std::string mnn_path = "../../../examples/hub/mnn/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.mnn";
std::string test_img_path0 = "../../../examples/lite/resources/test_lite_faceid_0.png";
std::string test_img_path1 = "../../../examples/lite/resources/test_lite_faceid_2.png";
lite::mnn::cv::faceid::MobileSEFocalFace *mobilese_focal_face =
new lite::mnn::cv::faceid::MobileSEFocalFace(mnn_path);
lite::types::FaceContent face_content0, face_content1;
cv::Mat img_bgr0 = cv::imread(test_img_path0);
cv::Mat img_bgr1 = cv::imread(test_img_path1);
mobilese_focal_face->detect(img_bgr0, face_content0);
mobilese_focal_face->detect(img_bgr1, face_content1);
if (face_content0.flag && face_content1.flag)
{
float sim = lite::utils::math::cosine_similarity<float>(
face_content0.embedding, face_content1.embedding);
std::cout << "MNN Version Detected Sim: " << sim << std::endl;
}
delete mobilese_focal_face;
#endif
}
static void test_ncnn()
{
#ifdef ENABLE_NCNN
std::string param_path = "../../../examples/hub/ncnn/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.opt.param";
std::string bin_path = "../../../examples/hub/ncnn/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.opt.bin";
std::string test_img_path0 = "../../../examples/lite/resources/test_lite_faceid_0.png";
std::string test_img_path1 = "../../../examples/lite/resources/test_lite_faceid_2.png";
lite::ncnn::cv::faceid::MobileSEFocalFace *mobilese_focal_face =
new lite::ncnn::cv::faceid::MobileSEFocalFace(param_path, bin_path);
lite::types::FaceContent face_content0, face_content1;
cv::Mat img_bgr0 = cv::imread(test_img_path0);
cv::Mat img_bgr1 = cv::imread(test_img_path1);
mobilese_focal_face->detect(img_bgr0, face_content0);
mobilese_focal_face->detect(img_bgr1, face_content1);
if (face_content0.flag && face_content1.flag)
{
float sim = lite::utils::math::cosine_similarity<float>(
face_content0.embedding, face_content1.embedding);
std::cout << "NCNN Version Detected Sim: " << sim << std::endl;
}
delete mobilese_focal_face;
#endif
}
static void test_tnn()
{
#ifdef ENABLE_TNN
std::string proto_path = "../../../examples/hub/tnn/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.opt.tnnproto";
std::string model_path = "../../../examples/hub/tnn/cv/face_recognition.pytorch_Mobilenet_se_focal_121000.opt.tnnmodel";
std::string test_img_path0 = "../../../examples/lite/resources/test_lite_faceid_0.png";
std::string test_img_path1 = "../../../examples/lite/resources/test_lite_faceid_2.png";
lite::tnn::cv::faceid::MobileSEFocalFace *mobilese_focal_face =
new lite::tnn::cv::faceid::MobileSEFocalFace(proto_path, model_path);
lite::types::FaceContent face_content0, face_content1;
cv::Mat img_bgr0 = cv::imread(test_img_path0);
cv::Mat img_bgr1 = cv::imread(test_img_path1);
mobilese_focal_face->detect(img_bgr0, face_content0);
mobilese_focal_face->detect(img_bgr1, face_content1);
if (face_content0.flag && face_content1.flag)
{
float sim = lite::utils::math::cosine_similarity<float>(
face_content0.embedding, face_content1.embedding);
std::cout << "TNN Version Detected Sim: " << sim << std::endl;
}
delete mobilese_focal_face;
#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;
}