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tunm
2025-05-22 16:07:26 +08:00
parent efb5639ec6
commit 7e25e4e482
168 changed files with 6434 additions and 2527 deletions
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2
cpp-package/inspireface/cpp/sample/cluttered/rk_sample/debug_rk_rec.cpp
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@@ -91,7 +91,7 @@ int main() {
m_extract_ = std::make_shared<Extract>();
InspireModel model;
loader.LoadModel("feature", model);
m_extract_->loadData(model, InferenceWrapper::INFER_RKNN);
m_extract_->LoadData(model, InferenceWrapper::INFER_RKNN);
cv::Mat image = cv::imread(names[0]);
// cv::Mat rgb;

2
cpp-package/inspireface/cpp/sample/cluttered/rk_sample/rk_face_det_sample.cpp
View File

@@ -31,7 +31,7 @@ int main() {
std::shared_ptr<FaceDetect> m_face_detector_;
m_face_detector_ = std::make_shared<FaceDetect>(320);
m_face_detector_->loadData(model, InferenceWrapper::INFER_RKNN);
m_face_detector_->LoadData(model, InferenceWrapper::INFER_RKNN);
// Load a image
cv::Mat image = cv::imread("test_res/images/face_sample.png");

2
cpp-package/inspireface/cpp/sample/cluttered/rk_sample/rk_face_recognize_sample.cpp
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@@ -35,7 +35,7 @@ void rec_function() {
m_extract_ = std::make_shared<Extract>();
InspireModel model;
loader->LoadModel("feature", model);
m_extract_->loadData(model, InferenceWrapper::INFER_RKNN);
m_extract_->LoadData(model, InferenceWrapper::INFER_RKNN);
loader.reset();

12
cpp-package/inspireface/cpp/sample/cluttered/rk_sample/rk_simple_net_sample.cpp
View File

@@ -35,7 +35,7 @@ void test_rnet() {
InspireModel model;
loader.LoadModel("refine_net", model);
m_rnet_ = std::make_shared<RNet>();
m_rnet_->loadData(model, InferenceWrapper::INFER_RKNN);
m_rnet_->LoadData(model, InferenceWrapper::INFER_RKNN);
{
// Load a image
@@ -78,7 +78,7 @@ void test_mask() {
m_mask_predict_ = std::make_shared<MaskPredict>();
InspireModel model;
loader.LoadModel("mask_detect", model);
m_mask_predict_->loadData(model, InferenceWrapper::INFER_RKNN);
m_mask_predict_->LoadData(model, InferenceWrapper::INFER_RKNN);
{
// Load a image
@@ -120,7 +120,7 @@ void test_quality() {
m_face_quality_ = std::make_shared<FacePoseQuality>();
InspireModel model;
loader.LoadModel("pose_quality", model);
m_face_quality_->loadData(model, InferenceWrapper::INFER_RKNN);
m_face_quality_->LoadData(model, InferenceWrapper::INFER_RKNN);
{
std::vector<std::string> names = {
@@ -166,7 +166,7 @@ void test_landmark_mnn() {
m_landmark_predictor_ = std::make_shared<FaceLandmark>(112);
InspireModel model;
loader.LoadModel("landmark", model);
m_landmark_predictor_->loadData(model);
m_landmark_predictor_->LoadData(model);
cv::Mat image = cv::imread("test_res/images/test_data/crop.png");
cv::resize(image, image, cv::Size(112, 112));
@@ -206,7 +206,7 @@ void test_landmark() {
m_landmark_predictor_ = std::make_shared<FaceLandmark>(112);
InspireModel model;
loader.LoadModel("landmark", model);
m_landmark_predictor_->loadData(model, InferenceWrapper::INFER_RKNN);
m_landmark_predictor_->LoadData(model, InferenceWrapper::INFER_RKNN);
cv::Mat image = cv::imread("test_res/images/test_data/0.jpg");
cv::resize(image, image, cv::Size(112, 112));
@@ -248,7 +248,7 @@ void test_liveness() {
InspireModel model;
loader.LoadModel("rgb_anti_spoofing", model);
m_rgb_anti_spoofing_ = std::make_shared<RBGAntiSpoofing>(80, true);
m_rgb_anti_spoofing_->loadData(model, InferenceWrapper::INFER_RKNN);
m_rgb_anti_spoofing_->LoadData(model, InferenceWrapper::INFER_RKNN);
std::vector<std::string> names = {
"test_res/images/test_data/real.jpg", "test_res/images/test_data/fake.jpg", "test_res/images/test_data/live.jpg",