[Model] Support PP-ShiTuV2 models for PaddleClas (#1900)

* [cmake] add faiss.cmake -> pp-shituv2

* [PP-ShiTuV2] Support PP-ShituV2-Det model

* [PP-ShiTuV2] Support PP-ShiTuV2-Det model

* [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support

* [PP-ShiTuV2] Add PPShiTuV2Recognizer c++&python support

* [Bug Fix] fix ppshitu_pybind error

* [benchmark] Add ppshituv2-det c++ benchmark

* [examples] Add PP-ShiTuV2 det & rec examples

* [vision] Update vision classification result

* [Bug Fix] fix trt shapes setting errors
This commit is contained in:
DefTruth
2023-05-08 14:04:09 +08:00
committed by GitHub
parent df8dd3e3ac
commit 77cb9db6da
31 changed files with 1835 additions and 51 deletions
+18 -14
View File
@@ -18,7 +18,6 @@ PPDetBase::PPDetBase(const std::string& model_file,
runtime_option.model_format = model_format;
runtime_option.model_file = model_file;
runtime_option.params_file = params_file;
}
std::unique_ptr<PPDetBase> PPDetBase::Clone() const {
@@ -83,20 +82,25 @@ bool PPDetBase::BatchPredict(const std::vector<cv::Mat>& imgs,
return true;
}
bool PPDetBase::CheckArch(){
std::vector<std::string> archs = {"SOLOv2","YOLO","SSD","RetinaNet","RCNN","Face","GFL","YOLOX","YOLOv5","YOLOv6","YOLOv7","RTMDet","FCOS","TTFNet","TOOD","DETR"};
auto arch_ = preprocessor_.GetArch();
for (auto item : archs) {
if (arch_ == item) {
return true;
}
bool PPDetBase::CheckArch() {
// Add "PicoDet" arch for backward compability with the
// old ppdet model, such as picodet from PaddleClas
// PP-ShiTuV2 pipeline.
std::vector<std::string> archs = {
"SOLOv2", "YOLO", "SSD", "RetinaNet", "RCNN", "Face",
"GFL", "YOLOX", "YOLOv5", "YOLOv6", "YOLOv7", "RTMDet",
"FCOS", "TTFNet", "TOOD", "DETR", "PicoDet"};
auto arch_ = preprocessor_.GetArch();
for (auto item : archs) {
if (arch_ == item) {
return true;
}
FDWARNING << "Please set model arch,"
<< "support value : SOLOv2, YOLO, SSD, RetinaNet, RCNN, Face , GFL , RTMDet ,"\
<<"FCOS , TTFNet , TOOD , DETR." << std::endl;
return false;
}
FDWARNING << "Please set model arch,"
<< "support value : SOLOv2, YOLO, SSD, RetinaNet, "
<< "RCNN, Face , GFL , RTMDet ,"
<< "FCOS , TTFNet , TOOD , DETR, PicoDet" << std::endl;
return false;
}
} // namespace detection