mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-05 16:48:03 +08:00
[C API] Supplement C api for models (#1317)
* add batch_predict and initialized api for c * add batch_predict and result str in C api * modify visualization function * add micro to add models batchify * refactor and add models for ppdet others * add base define * fix * refine predict api
This commit is contained in:
chenjian
@@ -67,6 +67,11 @@ typedef struct FD_C_TwoDimArrayFloat {
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typedef void* FD_C_Mat;
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typedef struct FD_C_OneDimMat {
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size_t size;
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FD_C_Mat* data;
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} FD_C_OneDimMat;
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#ifdef __cplusplus
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extern "C" {
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#endif
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@@ -18,38 +18,108 @@ namespace fastdeploy {
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#ifdef ENABLE_VISION
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std::unique_ptr<fastdeploy::vision::classification::PaddleClasModel>&
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FD_C_CheckAndConvertPaddleClasModelWrapper(
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FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper) {
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FDASSERT(
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fd_c_paddleclas_model_wrapper != nullptr,
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"The pointer of fd_c_paddleclas_model_wrapper shouldn't be nullptr.");
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return fd_c_paddleclas_model_wrapper->paddleclas_model;
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}
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// results:
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std::unique_ptr<fastdeploy::vision::detection::PPYOLOE>&
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FD_C_CheckAndConvertPPYOLOEWrapper(FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper) {
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FDASSERT(fd_c_ppyoloe_wrapper != nullptr,
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"The pointer of fd_c_ppyoloe_wrapper shouldn't be nullptr.");
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return fd_c_ppyoloe_wrapper->ppyoloe_model;
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}
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// ClassifyResult
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DECL_AND_IMPLEMENT_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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ClassifyResult, fd_classify_result_wrapper, classify_result)
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// DetectionResult
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DECL_AND_IMPLEMENT_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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DetectionResult, fd_detection_result_wrapper, detection_result)
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std::unique_ptr<fastdeploy::vision::ClassifyResult>&
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FD_C_CheckAndConvertClassifyResultWrapper(
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FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper) {
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FDASSERT(fd_c_classify_result_wrapper != nullptr,
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"The pointer of fd_c_classify_result_wrapper shouldn't be nullptr.");
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return fd_c_classify_result_wrapper->classify_result;
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}
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// Models:
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// Classification
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// PaddleClasModel
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DECL_AND_IMPLEMENT_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleClasModel, fd_paddleclas_model_wrapper, paddleclas_model)
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// detection models:
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// PPYOLOE
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PPYOLOE, fd_ppyoloe_wrapper, ppyoloe_model)
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// PicoDet
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PicoDet, fd_picodet_wrapper, picodet_model)
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// PPYOLO
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PPYOLO, fd_ppyolo_wrapper, ppyolo_model)
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// YOLOv3
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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YOLOv3, fd_yolov3_wrapper, yolov3_model)
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// PaddleYOLOX
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleYOLOX, fd_paddleyolox_wrapper, paddleyolox_model)
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// FasterRCNN
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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FasterRCNN, fd_fasterrcnn_wrapper, fasterrcnn_model)
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// MaskRCNN
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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MaskRCNN, fd_maskrcnn_wrapper, maskrcnn_model)
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// SSD
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(SSD,
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fd_ssd_wrapper,
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ssd_model)
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// PaddleYOLOv5
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleYOLOv5, fd_paddleyolov5_wrapper, paddleyolov5_model)
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// PaddleYOLOv6
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleYOLOv6, fd_paddleyolov6_wrapper, paddleyolov6_model)
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// PaddleYOLOv7
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleYOLOv7, fd_paddleyolov7_wrapper, paddleyolov7_model)
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// PaddleYOLOv8
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleYOLOv8, fd_paddleyolov8_wrapper, paddleyolov8_model)
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// RTMDet
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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RTMDet, fd_rtmdet_wrapper, rtmdet_model)
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// CascadeRCNN
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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CascadeRCNN, fd_cascadercnn_wrapper, cascadercnn_model)
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// PSSDet
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PSSDet, fd_pssdet_wrapper, pssdet_model)
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// RetinaNet
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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RetinaNet, fd_retinanet_wrapper, retinanet_model)
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// FCOS
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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FCOS, fd_fcos_wrapper, fcos_model)
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// TTFNet
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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TTFNet, fd_ttfnet_wrapper, ttfnet_model)
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// TOOD
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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TOOD, fd_tood_wrapper, tood_model)
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// GFL
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DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(GFL,
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fd_gfl_wrapper,
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gfl_model)
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std::unique_ptr<fastdeploy::vision::DetectionResult>&
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FD_C_CheckAndConvertDetectionResultWrapper(
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FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper) {
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FDASSERT(
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fd_c_detection_result_wrapper != nullptr,
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"The pointer of fd_c_detection_result_wrapper shouldn't be nullptr.");
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return fd_c_detection_result_wrapper->detection_result;
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}
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#endif
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std::unique_ptr<fastdeploy::RuntimeOption>&
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@@ -23,39 +23,246 @@
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#include "fastdeploy/vision/common/result.h"
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#include "fastdeploy/vision/detection/ppdet/model.h"
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typedef struct FD_C_ClassifyResultWrapper {
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std::unique_ptr<fastdeploy::vision::ClassifyResult> classify_result;
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} FD_C_ClassifyResultWrapper;
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#define DEFINE_RESULT_WRAPPER_STRUCT(typename, varname) typedef struct FD_C_##typename##Wrapper { \
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std::unique_ptr<fastdeploy::vision::typename> varname; \
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} FD_C_##typename##Wrapper
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typedef struct FD_C_DetectionResultWrapper {
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std::unique_ptr<fastdeploy::vision::DetectionResult> detection_result;
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} FD_C_DetectionResultWrapper;
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#define DEFINE_CLASSIFICATION_MODEL_WRAPPER_STRUCT(typename, varname) typedef struct FD_C_##typename##Wrapper { \
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std::unique_ptr<fastdeploy::vision::classification::typename> \
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varname; \
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} FD_C_##typename##Wrapper
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typedef struct FD_C_PaddleClasModelWrapper {
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std::unique_ptr<fastdeploy::vision::classification::PaddleClasModel>
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paddleclas_model;
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} FD_C_PaddleClasModelWrapper;
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#define DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(typename, varname) typedef struct FD_C_##typename##Wrapper { \
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std::unique_ptr<fastdeploy::vision::detection::typename> varname; \
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} FD_C_##typename##Wrapper
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typedef struct FD_C_PPYOLOEWrapper {
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std::unique_ptr<fastdeploy::vision::detection::PPYOLOE> ppyoloe_model;
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} FD_C_PPYOLOEWrapper;
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// ------------- belows are wrapper struct define --------------------- //
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// Results:
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// ClassifyResult
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DEFINE_RESULT_WRAPPER_STRUCT(ClassifyResult, classify_result);
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// DetectionResult
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DEFINE_RESULT_WRAPPER_STRUCT(DetectionResult, detection_result);
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// Models:
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// Classification
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// PaddleClasModel
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DEFINE_CLASSIFICATION_MODEL_WRAPPER_STRUCT(PaddleClasModel, paddleclas_model);
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// Detection
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// PPYOLOE
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PPYOLOE, ppyoloe_model);
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// PicoDet
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PicoDet, picodet_model);
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// PPYOLO
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PPYOLO, ppyolo_model);
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// YOLOv3
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(YOLOv3, yolov3_model);
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// PaddleYOLOX
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOX, paddleyolox_model);
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// FasterRCNN
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(FasterRCNN, fasterrcnn_model);
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// MaskRCNN
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(MaskRCNN, maskrcnn_model);
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// SSD
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(SSD, ssd_model);
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// PaddleYOLOv5
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv5, paddleyolov5_model);
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// PaddleYOLOv6
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv6, paddleyolov6_model);
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// PaddleYOLOv7
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv7, paddleyolov7_model);
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// PaddleYOLOv8
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv8, paddleyolov8_model);
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// RTMDet
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(RTMDet, rtmdet_model);
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// CascadeRCNN
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(CascadeRCNN, cascadercnn_model);
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// PSSDet
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PSSDet, pssdet_model);
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// RetinaNet
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(RetinaNet, retinanet_model);
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// FCOS
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(FCOS, fcos_model);
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// TTFNet
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(TTFNet, ttfnet_model);
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// TOOD
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(TOOD, tood_model);
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// GFL
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DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(GFL, gfl_model);
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// ------------- belows are function declaration for get ptr from wrapper --------------------- //
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#define DECLARE_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, varname) std::unique_ptr<fastdeploy::vision::typename>& \
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FD_C_CheckAndConvert##typename##Wrapper( \
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FD_C_##typename##Wrapper* varname)
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#define DECLARE_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, varname) std::unique_ptr<fastdeploy::vision::classification::typename>& \
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FD_C_CheckAndConvert##typename##Wrapper( \
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FD_C_##typename##Wrapper* varname)
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#define DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, varname) std::unique_ptr<fastdeploy::vision::detection::typename>& \
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FD_C_CheckAndConvert##typename##Wrapper( \
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FD_C_##typename##Wrapper* varname)
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namespace fastdeploy {
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std::unique_ptr<fastdeploy::vision::ClassifyResult>&
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FD_C_CheckAndConvertClassifyResultWrapper(
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FD_C_ClassifyResultWrapper* fd_classify_result_wrapper);
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std::unique_ptr<fastdeploy::vision::DetectionResult>&
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FD_C_CheckAndConvertDetectionResultWrapper(
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FD_C_DetectionResultWrapper* fd_detection_result_wrapper);
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std::unique_ptr<fastdeploy::vision::classification::PaddleClasModel>&
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FD_C_CheckAndConvertPaddleClasModelWrapper(
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FD_C_PaddleClasModelWrapper* fd_paddleclas_model_wrapper);
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std::unique_ptr<fastdeploy::vision::detection::PPYOLOE>&
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FD_C_CheckAndConvertPPYOLOEWrapper(FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper);
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// results:
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// ClassifyResult
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DECLARE_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(ClassifyResult,
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fd_classify_result_wrapper);
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// DetectionResult
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DECLARE_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(DetectionResult,
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fd_detection_result_wrapper);
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// Models:
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// Classification
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// PaddleClasModel
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DECLARE_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
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PaddleClasModel, fd_paddleclas_model_wrapper);
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// detection models:
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// PPYOLOE
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PPYOLOE,
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fd_ppyoloe_wrapper);
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// PicoDet
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PicoDet,
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fd_picodet_wrapper);
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// PPYOLO
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PPYOLO,
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fd_ppyolo_wrapper);
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// YOLOv3
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(YOLOv3,
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fd_yolov3_wrapper);
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// PaddleYOLOX
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOX,
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fd_paddleyolox_wrapper);
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// FasterRCNN
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(FasterRCNN,
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fd_fasterrcnn_wrapper);
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// MaskRCNN
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(MaskRCNN,
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fd_maskrcnn_wrapper);
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// SSD
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(SSD,
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fd_ssd_wrapper);
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// PaddleYOLOv5
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv5,
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fd_paddleyolov5_wrapper);
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// PaddleYOLOv6
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv6,
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fd_paddleyolov6_wrapper);
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// PaddleYOLOv7
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv7,
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fd_paddleyolov7_wrapper);
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// PaddleYOLOv8
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv8,
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fd_paddleyolov8_wrapper);
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// RTMDet
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(RTMDet,
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fd_rtmdet_wrapper);
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// CascadeRCNN
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(CascadeRCNN,
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fd_cascadercnn_wrapper);
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// PSSDet
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PSSDet,
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fd_pssdet_wrapper);
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// RetinaNet
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(RetinaNet,
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fd_retinanet_wrapper);
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// FCOS
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(FCOS,
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fd_fcos_wrapper);
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// TTFNet
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(TTFNet,
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fd_ttfnet_wrapper);
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// TOOD
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(TOOD,
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fd_tood_wrapper);
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// GFL
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DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(GFL,
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fd_gfl_wrapper);
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} // namespace fastdeploy
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#endif
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typedef struct FD_C_RuntimeOptionWrapper {
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std::unique_ptr<fastdeploy::RuntimeOption> runtime_option;
|
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} FD_C_RuntimeOptionWrapper;
|
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@@ -68,3 +275,27 @@ FD_C_CheckAndConvertRuntimeOptionWrapper(
|
||||
|
||||
#define CHECK_AND_CONVERT_FD_TYPE(TYPENAME, variable_name) \
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fastdeploy::FD_C_CheckAndConvert##TYPENAME(variable_name)
|
||||
|
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#define DECL_AND_IMPLEMENT_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, var_wrapper_name, var_ptr_name) std::unique_ptr<fastdeploy::vision::typename>& \
|
||||
FD_C_CheckAndConvert##typename##Wrapper( \
|
||||
FD_C_##typename##Wrapper* var_wrapper_name) { \
|
||||
FDASSERT(var_wrapper_name != nullptr, \
|
||||
"The pointer of " #var_wrapper_name " shouldn't be nullptr."); \
|
||||
return var_wrapper_name->var_ptr_name; \
|
||||
}
|
||||
|
||||
#define DECL_AND_IMPLEMENT_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, var_wrapper_name, var_ptr_name) std::unique_ptr<fastdeploy::vision::classification::typename>& \
|
||||
FD_C_CheckAndConvert##typename##Wrapper( \
|
||||
FD_C_##typename##Wrapper* var_wrapper_name) { \
|
||||
FDASSERT(var_wrapper_name != nullptr, \
|
||||
"The pointer of " #var_wrapper_name " shouldn't be nullptr."); \
|
||||
return var_wrapper_name->var_ptr_name; \
|
||||
}
|
||||
|
||||
#define DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, var_wrapper_name, var_ptr_name) std::unique_ptr<fastdeploy::vision::detection::typename>& \
|
||||
FD_C_CheckAndConvert##typename##Wrapper( \
|
||||
FD_C_##typename##Wrapper* var_wrapper_name) { \
|
||||
FDASSERT(var_wrapper_name != nullptr, \
|
||||
"The pointer of " #var_wrapper_name " shouldn't be nullptr."); \
|
||||
return var_wrapper_name->var_ptr_name; \
|
||||
}
|
||||
|
||||
@@ -38,19 +38,80 @@ FD_C_PaddleClasModelWrapper* FD_C_CreatePaddleClasModelWrapper(
|
||||
}
|
||||
|
||||
void FD_C_DestroyPaddleClasModelWrapper(
|
||||
__fd_take FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper) {
|
||||
FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper) {
|
||||
delete fd_c_paddleclas_model_wrapper;
|
||||
}
|
||||
|
||||
FD_C_Bool FD_C_PaddleClasModelWrapperPredict(
|
||||
__fd_take FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper,
|
||||
FD_C_Mat img, FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper) {
|
||||
FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper, FD_C_Mat img,
|
||||
FD_C_ClassifyResult* fd_c_classify_result) {
|
||||
cv::Mat* im = reinterpret_cast<cv::Mat*>(img);
|
||||
auto& paddleclas_model = CHECK_AND_CONVERT_FD_TYPE(
|
||||
PaddleClasModelWrapper, fd_c_paddleclas_model_wrapper);
|
||||
FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper =
|
||||
FD_C_CreateClassifyResultWrapper();
|
||||
auto& classify_result = CHECK_AND_CONVERT_FD_TYPE(
|
||||
ClassifyResultWrapper, fd_c_classify_result_wrapper);
|
||||
return paddleclas_model->Predict(im, classify_result.get());
|
||||
|
||||
bool successful = paddleclas_model->Predict(im, classify_result.get());
|
||||
if (successful) {
|
||||
FD_C_ClassifyResult* res =
|
||||
FD_C_ClassifyResultWrapperGetData(fd_c_classify_result_wrapper);
|
||||
*fd_c_classify_result = *res;
|
||||
}
|
||||
return successful;
|
||||
}
|
||||
|
||||
FD_C_Bool FD_C_PaddleClasModelWrapperInitialized(
|
||||
FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper) {
|
||||
auto& paddleclas_model = CHECK_AND_CONVERT_FD_TYPE(
|
||||
PaddleClasModelWrapper, fd_c_paddleclas_model_wrapper);
|
||||
return paddleclas_model->Initialized();
|
||||
}
|
||||
|
||||
FD_C_ClassifyResult* FD_C_ClassifyResultToC(
|
||||
fastdeploy::vision::ClassifyResult* classify_result) {
|
||||
// Internal use, transfer fastdeploy::vision::ClassifyResult to
|
||||
// FD_C_ClassifyResult
|
||||
FD_C_ClassifyResult* fd_c_classify_result_data = new FD_C_ClassifyResult();
|
||||
// copy label_ids
|
||||
fd_c_classify_result_data->label_ids.size = classify_result->label_ids.size();
|
||||
fd_c_classify_result_data->label_ids.data =
|
||||
new int32_t[fd_c_classify_result_data->label_ids.size];
|
||||
memcpy(fd_c_classify_result_data->label_ids.data,
|
||||
classify_result->label_ids.data(),
|
||||
sizeof(int32_t) * fd_c_classify_result_data->label_ids.size);
|
||||
// copy scores
|
||||
fd_c_classify_result_data->scores.size = classify_result->scores.size();
|
||||
fd_c_classify_result_data->scores.data =
|
||||
new float[fd_c_classify_result_data->scores.size];
|
||||
memcpy(fd_c_classify_result_data->scores.data, classify_result->scores.data(),
|
||||
sizeof(float) * fd_c_classify_result_data->scores.size);
|
||||
fd_c_classify_result_data->type =
|
||||
static_cast<FD_C_ResultType>(classify_result->type);
|
||||
return fd_c_classify_result_data;
|
||||
}
|
||||
|
||||
FD_C_Bool FD_C_PaddleClasModelWrapperBatchPredict(
|
||||
FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper,
|
||||
FD_C_OneDimMat imgs, FD_C_OneDimClassifyResult* results) {
|
||||
std::vector<cv::Mat> imgs_vec;
|
||||
std::vector<fastdeploy::vision::ClassifyResult> results_out;
|
||||
for (int i = 0; i < imgs.size; i++) {
|
||||
imgs_vec.push_back(*(reinterpret_cast<cv::Mat*>(imgs.data[i])));
|
||||
}
|
||||
auto& paddleclas_model = CHECK_AND_CONVERT_FD_TYPE(
|
||||
PaddleClasModelWrapper, fd_c_paddleclas_model_wrapper);
|
||||
bool successful = paddleclas_model->BatchPredict(imgs_vec, &results_out);
|
||||
if (successful) {
|
||||
// copy results back to FD_C_OneDimClassifyResult
|
||||
results->size = results_out.size();
|
||||
results->data = new FD_C_ClassifyResult[results->size];
|
||||
for (int i = 0; i < results_out.size(); i++) {
|
||||
results->data[i] = *FD_C_ClassifyResultToC(&results_out[i]);
|
||||
}
|
||||
}
|
||||
return successful;
|
||||
}
|
||||
|
||||
#ifdef __cplusplus
|
||||
|
||||
@@ -54,12 +54,36 @@ FASTDEPLOY_CAPI_EXPORT extern void FD_C_DestroyPaddleClasModelWrapper(
|
||||
*
|
||||
* \param[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object
|
||||
* \param[in] img pointer to cv::Mat image
|
||||
* \param[in] fd_c_classify_result_wrapper pointer to FD_C_PaddleClasModelWrapper object, which stores the result.
|
||||
* \param[in] fd_c_classify_result pointer to FD_C_ClassifyResult object, which stores the result.
|
||||
*/
|
||||
|
||||
FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_PaddleClasModelWrapperPredict(
|
||||
__fd_take FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper,
|
||||
FD_C_Mat img, FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper);
|
||||
__fd_keep FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper,
|
||||
FD_C_Mat img, FD_C_ClassifyResult* fd_c_classify_result_wrapper);
|
||||
|
||||
/** \brief Check if the model is initialized successfully
|
||||
*
|
||||
* \param[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object
|
||||
*
|
||||
* \return Return a bool of value true if initialized successfully
|
||||
*/
|
||||
|
||||
FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_PaddleClasModelWrapperInitialized(
|
||||
__fd_keep FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper);
|
||||
|
||||
|
||||
/** \brief Predict the classification results for a batch of input images
|
||||
*
|
||||
* \param[in] fd_c_paddleclas_model_wrapper pointer to FD_C_PaddleClasModelWrapper object
|
||||
* \param[in] imgs The input image list, each element comes from cv::imread()
|
||||
* \param[in] results The output classification result list
|
||||
* \return true if the prediction successed, otherwise false
|
||||
*/
|
||||
FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_PaddleClasModelWrapperBatchPredict(
|
||||
__fd_keep FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper,
|
||||
FD_C_OneDimMat imgs,
|
||||
FD_C_OneDimClassifyResult* results);
|
||||
|
||||
|
||||
#ifdef __cplusplus
|
||||
} // extern "C"
|
||||
|
||||
119
c_api/fastdeploy_capi/vision/detection/ppdet/base_define.h
Normal file
119
c_api/fastdeploy_capi/vision/detection/ppdet/base_define.h
Normal file
@@ -0,0 +1,119 @@
|
||||
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#pragma once
|
||||
|
||||
#define DECLARE_CREATE_WRAPPER_FUNCTION(model_type) FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_##model_type##Wrapper* \
|
||||
FD_C_Creates##model_type##Wrapper( \
|
||||
const char* model_file, const char* params_file, const char* config_file, \
|
||||
FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper, \
|
||||
const FD_C_ModelFormat model_format)
|
||||
|
||||
|
||||
#define DECLARE_DESTROY_WRAPPER_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern void \
|
||||
FD_C_Destroy##model_type##Wrapper(__fd_take FD_C_##model_type##Wrapper* wrapper_var_name);
|
||||
|
||||
#define DECLARE_PREDICT_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_##model_type##WrapperPredict( \
|
||||
__fd_take FD_C_##model_type##Wrapper* wrapper_var_name, FD_C_Mat img, \
|
||||
FD_C_DetectionResult* fd_c_detection_result)
|
||||
|
||||
#define DECLARE_INITIALIZED_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_##model_type##WrapperInitialized( \
|
||||
__fd_keep FD_C_##model_type##Wrapper* wrapper_var_name)
|
||||
|
||||
|
||||
#define DECLARE_BATCH_PREDICT_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_##model_type##WrapperBatchPredict( \
|
||||
__fd_keep FD_C_##model_type##Wrapper* wrapper_var_name, \
|
||||
FD_C_OneDimMat imgs, \
|
||||
FD_C_OneDimDetectionResult* results)
|
||||
|
||||
#define IMPLEMENT_CREATE_WRAPPER_FUNCTION(model_type, var_name) \
|
||||
auto& runtime_option = CHECK_AND_CONVERT_FD_TYPE(RuntimeOptionWrapper, \
|
||||
fd_c_runtime_option_wrapper); \
|
||||
FD_C_##model_type##Wrapper* fd_c_##model_type##_wrapper = new FD_C_##model_type##Wrapper(); \
|
||||
fd_c_##model_type##_wrapper->var_name = \
|
||||
std::unique_ptr<fastdeploy::vision::detection::model_type>( \
|
||||
new fastdeploy::vision::detection::model_type( \
|
||||
std::string(model_file), std::string(params_file), \
|
||||
std::string(config_file), *runtime_option, \
|
||||
static_cast<fastdeploy::ModelFormat>(model_format))); \
|
||||
return fd_c_##model_type##_wrapper
|
||||
|
||||
#define IMPLEMENT_DESTROY_WRAPPER_FUNCTION(model_type, wrapper_var_name) delete wrapper_var_name
|
||||
|
||||
#define IMPLEMENT_PREDICT_FUNCTION(model_type, wrapper_var_name) \
|
||||
cv::Mat* im = reinterpret_cast<cv::Mat*>(img); \
|
||||
auto& model = \
|
||||
CHECK_AND_CONVERT_FD_TYPE(model_type##Wrapper, wrapper_var_name); \
|
||||
FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper = \
|
||||
FD_C_CreateDetectionResultWrapper(); \
|
||||
auto& detection_result = CHECK_AND_CONVERT_FD_TYPE( \
|
||||
DetectionResultWrapper, fd_c_detection_result_wrapper); \
|
||||
bool successful = model->Predict(im, detection_result.get()); \
|
||||
if (successful) { \
|
||||
FD_C_DetectionResult* res = \
|
||||
FD_C_DetectionResultWrapperGetData(fd_c_detection_result_wrapper); \
|
||||
*fd_c_detection_result = *res; \
|
||||
} \
|
||||
return successful
|
||||
|
||||
#define IMPLEMENT_INITIALIZED_FUNCTION(model_type, wrapper_var_name) auto& model = \
|
||||
CHECK_AND_CONVERT_FD_TYPE(model_type##Wrapper, wrapper_var_name); \
|
||||
return model->Initialized();
|
||||
|
||||
#define IMPLEMENT_BATCH_PREDICT_FUNCTION(model_type, wrapper_var_name) std::vector<cv::Mat> imgs_vec; \
|
||||
std::vector<fastdeploy::vision::DetectionResult> results_out; \
|
||||
for (int i = 0; i < imgs.size; i++) { \
|
||||
imgs_vec.push_back(*(reinterpret_cast<cv::Mat*>(imgs.data[i]))); \
|
||||
} \
|
||||
auto& model = \
|
||||
CHECK_AND_CONVERT_FD_TYPE(model_type##Wrapper, wrapper_var_name); \
|
||||
bool successful = model->BatchPredict(imgs_vec, &results_out); \
|
||||
if (successful) { \
|
||||
results->size = results_out.size(); \
|
||||
results->data = new FD_C_DetectionResult[results->size]; \
|
||||
for (int i = 0; i < results_out.size(); i++) { \
|
||||
results->data[i] = *FD_C_DetectionResultToC(&results_out[i]); \
|
||||
} \
|
||||
} \
|
||||
return successful;
|
||||
|
||||
#define DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(model_type, var_name) FD_C_##model_type##Wrapper* FD_C_Creates##model_type##Wrapper(\
|
||||
const char* model_file, const char* params_file, const char* config_file, \
|
||||
FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper, \
|
||||
const FD_C_ModelFormat model_format) { \
|
||||
IMPLEMENT_CREATE_WRAPPER_FUNCTION(model_type, var_name); \
|
||||
}
|
||||
|
||||
#define DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(model_type, wrapper_var_name) void FD_C_Destroy##model_type##Wrapper( \
|
||||
__fd_take FD_C_##model_type##Wrapper* wrapper_var_name) { \
|
||||
IMPLEMENT_DESTROY_WRAPPER_FUNCTION(model_type, wrapper_var_name); \
|
||||
}
|
||||
|
||||
|
||||
#define DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(model_type, wrapper_var_name) FD_C_Bool FD_C_##model_type##WrapperPredict( \
|
||||
FD_C_##model_type##Wrapper* wrapper_var_name, FD_C_Mat img, \
|
||||
FD_C_DetectionResult* fd_c_detection_result) { \
|
||||
IMPLEMENT_PREDICT_FUNCTION(model_type, wrapper_var_name); \
|
||||
}
|
||||
|
||||
#define DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(model_type, wrapper_var_name) FD_C_Bool FD_C_##model_type##WrapperInitialized( \
|
||||
FD_C_##model_type##Wrapper* wrapper_var_name) { \
|
||||
IMPLEMENT_INITIALIZED_FUNCTION(model_type, wrapper_var_name); \
|
||||
}
|
||||
|
||||
#define DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(model_type, wrapper_var_name) FD_C_Bool FD_C_##model_type##WrapperBatchPredict( \
|
||||
FD_C_##model_type##Wrapper* wrapper_var_name, FD_C_OneDimMat imgs, \
|
||||
FD_C_OneDimDetectionResult* results) { \
|
||||
IMPLEMENT_BATCH_PREDICT_FUNCTION(model_type, wrapper_var_name); \
|
||||
}
|
||||
@@ -21,38 +21,248 @@
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
// PPYOLOE
|
||||
|
||||
FD_C_PPYOLOEWrapper* FD_C_CreatesPPYOLOEWrapper(
|
||||
const char* model_file, const char* params_file, const char* config_file,
|
||||
FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper,
|
||||
const FD_C_ModelFormat model_format) {
|
||||
auto& runtime_option = CHECK_AND_CONVERT_FD_TYPE(RuntimeOptionWrapper,
|
||||
fd_c_runtime_option_wrapper);
|
||||
FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper = new FD_C_PPYOLOEWrapper();
|
||||
fd_c_ppyoloe_wrapper->ppyoloe_model =
|
||||
std::unique_ptr<fastdeploy::vision::detection::PPYOLOE>(
|
||||
new fastdeploy::vision::detection::PPYOLOE(
|
||||
std::string(model_file), std::string(params_file),
|
||||
std::string(config_file), *runtime_option,
|
||||
static_cast<fastdeploy::ModelFormat>(model_format)));
|
||||
return fd_c_ppyoloe_wrapper;
|
||||
IMPLEMENT_CREATE_WRAPPER_FUNCTION(PPYOLOE, ppyoloe_model);
|
||||
}
|
||||
|
||||
void FD_C_DestroyPPYOLOEWrapper(
|
||||
__fd_take FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper) {
|
||||
delete fd_c_ppyoloe_wrapper;
|
||||
__fd_take FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper) {
|
||||
IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PPYOLOE, fd_ppyoloe_wrapper);
|
||||
}
|
||||
|
||||
FD_C_Bool FD_C_PPYOLOEWrapperPredict(
|
||||
FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper, FD_C_Mat img,
|
||||
FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper) {
|
||||
cv::Mat* im = reinterpret_cast<cv::Mat*>(img);
|
||||
auto& ppyoloe_model =
|
||||
CHECK_AND_CONVERT_FD_TYPE(PPYOLOEWrapper, fd_c_ppyoloe_wrapper);
|
||||
auto& detection_result = CHECK_AND_CONVERT_FD_TYPE(
|
||||
DetectionResultWrapper, fd_c_detection_result_wrapper);
|
||||
return ppyoloe_model->Predict(im, detection_result.get());
|
||||
FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper, FD_C_Mat img,
|
||||
FD_C_DetectionResult* fd_c_detection_result) {
|
||||
IMPLEMENT_PREDICT_FUNCTION(PPYOLOE, fd_ppyoloe_wrapper);
|
||||
}
|
||||
|
||||
FD_C_Bool FD_C_PPYOLOEWrapperInitialized(
|
||||
FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper) {
|
||||
IMPLEMENT_INITIALIZED_FUNCTION(PPYOLOE, fd_ppyoloe_wrapper);
|
||||
}
|
||||
|
||||
FD_C_DetectionResult* FD_C_DetectionResultToC(
|
||||
fastdeploy::vision::DetectionResult* detection_result) {
|
||||
// Internal use, transfer fastdeploy::vision::DetectionResult to
|
||||
// FD_C_DetectionResult
|
||||
FD_C_DetectionResult* fd_c_detection_result = new FD_C_DetectionResult();
|
||||
// copy boxes
|
||||
const int boxes_coordinate_dim = 4;
|
||||
fd_c_detection_result->boxes.size = detection_result->boxes.size();
|
||||
fd_c_detection_result->boxes.data =
|
||||
new FD_C_OneDimArrayFloat[fd_c_detection_result->boxes.size];
|
||||
for (size_t i = 0; i < detection_result->boxes.size(); i++) {
|
||||
fd_c_detection_result->boxes.data[i].size = boxes_coordinate_dim;
|
||||
fd_c_detection_result->boxes.data[i].data = new float[boxes_coordinate_dim];
|
||||
for (size_t j = 0; j < boxes_coordinate_dim; j++) {
|
||||
fd_c_detection_result->boxes.data[i].data[j] =
|
||||
detection_result->boxes[i][j];
|
||||
}
|
||||
}
|
||||
// copy scores
|
||||
fd_c_detection_result->scores.size = detection_result->scores.size();
|
||||
fd_c_detection_result->scores.data =
|
||||
new float[fd_c_detection_result->scores.size];
|
||||
memcpy(fd_c_detection_result->scores.data, detection_result->scores.data(),
|
||||
sizeof(float) * fd_c_detection_result->scores.size);
|
||||
// copy label_ids
|
||||
fd_c_detection_result->label_ids.size = detection_result->label_ids.size();
|
||||
fd_c_detection_result->label_ids.data =
|
||||
new int32_t[fd_c_detection_result->label_ids.size];
|
||||
memcpy(fd_c_detection_result->label_ids.data,
|
||||
detection_result->label_ids.data(),
|
||||
sizeof(int32_t) * fd_c_detection_result->label_ids.size);
|
||||
// copy masks
|
||||
fd_c_detection_result->masks.size = detection_result->masks.size();
|
||||
fd_c_detection_result->masks.data =
|
||||
new FD_C_Mask[fd_c_detection_result->masks.size];
|
||||
for (size_t i = 0; i < detection_result->masks.size(); i++) {
|
||||
// copy data in mask
|
||||
fd_c_detection_result->masks.data[i].data.size =
|
||||
detection_result->masks[i].data.size();
|
||||
fd_c_detection_result->masks.data[i].data.data =
|
||||
new uint8_t[detection_result->masks[i].data.size()];
|
||||
memcpy(fd_c_detection_result->masks.data[i].data.data,
|
||||
detection_result->masks[i].data.data(),
|
||||
sizeof(uint8_t) * detection_result->masks[i].data.size());
|
||||
// copy shape in mask
|
||||
fd_c_detection_result->masks.data[i].shape.size =
|
||||
detection_result->masks[i].shape.size();
|
||||
fd_c_detection_result->masks.data[i].shape.data =
|
||||
new int64_t[detection_result->masks[i].shape.size()];
|
||||
memcpy(fd_c_detection_result->masks.data[i].shape.data,
|
||||
detection_result->masks[i].shape.data(),
|
||||
sizeof(int64_t) * detection_result->masks[i].shape.size());
|
||||
fd_c_detection_result->masks.data[i].type =
|
||||
static_cast<FD_C_ResultType>(detection_result->masks[i].type);
|
||||
}
|
||||
fd_c_detection_result->contain_masks = detection_result->contain_masks;
|
||||
fd_c_detection_result->type =
|
||||
static_cast<FD_C_ResultType>(detection_result->type);
|
||||
return fd_c_detection_result;
|
||||
}
|
||||
|
||||
FD_C_Bool FD_C_PPYOLOEWrapperBatchPredict(
|
||||
FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper, FD_C_OneDimMat imgs,
|
||||
FD_C_OneDimDetectionResult* results) {
|
||||
IMPLEMENT_BATCH_PREDICT_FUNCTION(PPYOLOE, fd_ppyoloe_wrapper);
|
||||
}
|
||||
|
||||
// PicoDet
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PicoDet, picodet_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PicoDet, fd_picodet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PicoDet, fd_picodet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PicoDet, fd_picodet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PicoDet, fd_picodet_wrapper)
|
||||
|
||||
// PPYOLO
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PPYOLO, ppyolo_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PPYOLO, fd_ppyolo_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PPYOLO, fd_ppyolo_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PPYOLO, fd_ppyolo_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PPYOLO, fd_ppyolo_wrapper)
|
||||
|
||||
// YOLOv3
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(YOLOv3, yolov3_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(YOLOv3, fd_yolov3_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(YOLOv3, fd_yolov3_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(YOLOv3, fd_yolov3_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(YOLOv3, fd_yolov3_wrapper)
|
||||
|
||||
// PaddleYOLOX
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PaddleYOLOX, paddleyolox_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PaddleYOLOX,
|
||||
fd_paddleyolox_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PaddleYOLOX, fd_paddleyolox_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PaddleYOLOX, fd_paddleyolox_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PaddleYOLOX,
|
||||
fd_paddleyolox_wrapper)
|
||||
|
||||
// FasterRCNN
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(FasterRCNN, fasterrcnn_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(FasterRCNN,
|
||||
fd_fasterrcnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(FasterRCNN, fd_fasterrcnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(FasterRCNN, fd_fasterrcnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(FasterRCNN, fd_fasterrcnn_wrapper)
|
||||
|
||||
// MaskRCNN
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(MaskRCNN, maskrcnn_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(MaskRCNN, fd_maskrcnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(MaskRCNN, fd_maskrcnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(MaskRCNN, fd_maskrcnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(MaskRCNN, fd_maskrcnn_wrapper)
|
||||
|
||||
// SSD
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(SSD, ssd_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(SSD, fd_ssd_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(SSD, fd_ssd_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(SSD, fd_ssd_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(SSD, fd_ssd_wrapper)
|
||||
|
||||
// PaddleYOLOv5
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PaddleYOLOv5, paddleyolov5_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PaddleYOLOv5,
|
||||
fd_paddleyolov5_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PaddleYOLOv5, fd_paddleyolov5_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PaddleYOLOv5,
|
||||
fd_paddleyolov5_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PaddleYOLOv5,
|
||||
fd_paddleyolov5_wrapper)
|
||||
|
||||
// PaddleYOLOv6
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PaddleYOLOv6, paddleyolov6_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PaddleYOLOv6,
|
||||
fd_paddleyolov6_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PaddleYOLOv6, fd_paddleyolov6_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PaddleYOLOv6,
|
||||
fd_paddleyolov6_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PaddleYOLOv6,
|
||||
fd_paddleyolov6_wrapper)
|
||||
|
||||
// PaddleYOLOv7
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PaddleYOLOv7, paddleyolov7_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PaddleYOLOv7,
|
||||
fd_paddleyolov7_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PaddleYOLOv7, fd_paddleyolov7_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PaddleYOLOv7,
|
||||
fd_paddleyolov7_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PaddleYOLOv7,
|
||||
fd_paddleyolov7_wrapper)
|
||||
|
||||
// PaddleYOLOv8
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PaddleYOLOv8, paddleyolov8_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PaddleYOLOv8,
|
||||
fd_paddleyolov8_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PaddleYOLOv8, fd_paddleyolov8_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PaddleYOLOv8,
|
||||
fd_paddleyolov8_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PaddleYOLOv8,
|
||||
fd_paddleyolov8_wrapper)
|
||||
|
||||
// RTMDet
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(RTMDet, rtmdet_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(RTMDet, fd_rtmdet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(RTMDet, fd_rtmdet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(RTMDet, fd_rtmdet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(RTMDet, fd_rtmdet_wrapper)
|
||||
|
||||
// CascadeRCNN
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(CascadeRCNN, cascadercnn_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(CascadeRCNN,
|
||||
fd_cascadercnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(CascadeRCNN, fd_cascadercnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(CascadeRCNN, fd_cascadercnn_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(CascadeRCNN,
|
||||
fd_cascadercnn_wrapper)
|
||||
|
||||
// PSSDet
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(PSSDet, pssdet_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(PSSDet, fd_pssdet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(PSSDet, fd_pssdet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(PSSDet, fd_pssdet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(PSSDet, fd_pssdet_wrapper)
|
||||
|
||||
// RetinaNet
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(RetinaNet, retinanet_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(RetinaNet, fd_retinanet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(RetinaNet, fd_retinanet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(RetinaNet, fd_retinanet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(RetinaNet, fd_retinanet_wrapper)
|
||||
|
||||
// FCOS
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(FCOS, fcos_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(FCOS, fd_fcos_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(FCOS, fd_fcos_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(FCOS, fd_fcos_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(FCOS, fd_fcos_wrapper)
|
||||
|
||||
// TTFNet
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(TTFNet, ttfnet_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(TTFNet, fd_ttfnet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(TTFNet, fd_ttfnet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(TTFNet, fd_ttfnet_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(TTFNet, fd_ttfnet_wrapper)
|
||||
|
||||
// TOOD
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(TOOD, tood_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(TOOD, fd_tood_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(TOOD, fd_tood_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(TOOD, fd_tood_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(TOOD, fd_tood_wrapper)
|
||||
|
||||
// GFL
|
||||
DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(GFL, gfl_model)
|
||||
DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(GFL, fd_gfl_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(GFL, fd_gfl_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(GFL, fd_gfl_wrapper)
|
||||
DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(GFL, fd_gfl_wrapper)
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
||||
File diff suppressed because it is too large
Load Diff
@@ -90,6 +90,16 @@ FD_C_ClassifyResultWrapper* FD_C_CreateClassifyResultWrapperFromData(
|
||||
return fd_c_classify_result_wrapper;
|
||||
}
|
||||
|
||||
char* FD_C_ClassifyResultWrapperStr(
|
||||
FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper) {
|
||||
auto& classify_result = CHECK_AND_CONVERT_FD_TYPE(
|
||||
ClassifyResultWrapper, fd_c_classify_result_wrapper);
|
||||
std::string information = classify_result->Str();
|
||||
char* cstr = new char[information.length() + 1];
|
||||
std::strcpy(cstr, information.c_str());
|
||||
return cstr;
|
||||
}
|
||||
|
||||
// Detection Results
|
||||
|
||||
FD_C_DetectionResultWrapper* FD_C_CreateDetectionResultWrapper() {
|
||||
@@ -237,6 +247,17 @@ FD_C_DetectionResultWrapper* FD_C_CreateDetectionResultWrapperFromData(
|
||||
|
||||
return fd_c_detection_result_wrapper;
|
||||
}
|
||||
|
||||
char* FD_C_DetectionResultWrapperStr(
|
||||
FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper) {
|
||||
auto& detection_result = CHECK_AND_CONVERT_FD_TYPE(
|
||||
DetectionResultWrapper, fd_c_detection_result_wrapper);
|
||||
std::string information = detection_result->Str();
|
||||
char* cstr = new char[information.length() + 1];
|
||||
std::strcpy(cstr, information.c_str());
|
||||
return cstr;
|
||||
}
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
||||
@@ -30,6 +30,11 @@ typedef struct FD_C_ClassifyResult {
|
||||
FD_C_ResultType type;
|
||||
} FD_C_ClassifyResult;
|
||||
|
||||
typedef struct FD_C_OneDimClassifyResult {
|
||||
size_t size;
|
||||
FD_C_ClassifyResult* data;
|
||||
} FD_C_OneDimClassifyResult;
|
||||
|
||||
typedef struct FD_C_Mask {
|
||||
FD_C_OneDimArrayUint8 data;
|
||||
FD_C_OneDimArrayInt64 shape;
|
||||
@@ -50,6 +55,11 @@ typedef struct FD_C_DetectionResult {
|
||||
FD_C_ResultType type;
|
||||
} FD_C_DetectionResult;
|
||||
|
||||
typedef struct FD_C_OneDimDetectionResult {
|
||||
size_t size;
|
||||
FD_C_DetectionResult* data;
|
||||
} FD_C_OneDimDetectionResult;
|
||||
|
||||
// Classification Results
|
||||
|
||||
/** \brief Create a new FD_C_ClassifyResultWrapper object
|
||||
@@ -95,6 +105,16 @@ FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_ClassifyResultWrapper*
|
||||
FD_C_CreateClassifyResultWrapperFromData(
|
||||
__fd_keep FD_C_ClassifyResult* fd_c_classify_result);
|
||||
|
||||
/** \brief Print ClassifyResult formated information
|
||||
*
|
||||
* \param[in] fd_c_classify_result_wrapper pointer to FD_C_ClassifyResultWrapper object
|
||||
* \return Return a string pointer
|
||||
*/
|
||||
|
||||
FASTDEPLOY_CAPI_EXPORT extern __fd_give char*
|
||||
FD_C_ClassifyResultWrapperStr(
|
||||
__fd_keep FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper);
|
||||
|
||||
// Detection Results
|
||||
|
||||
/** \brief Create a new FD_C_DetectionResultWrapper object
|
||||
@@ -140,6 +160,16 @@ FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_DetectionResultWrapper*
|
||||
FD_C_CreateDetectionResultWrapperFromData(
|
||||
__fd_keep FD_C_DetectionResult* fd_c_detection_result);
|
||||
|
||||
/** \brief Print DetectionResult formated information
|
||||
*
|
||||
* \param[in] fd_c_detection_result_wrapper pointer to FD_C_DetectionResultWrapper object
|
||||
* \return Return a string pointer
|
||||
*/
|
||||
|
||||
FASTDEPLOY_CAPI_EXPORT extern __fd_give char*
|
||||
FD_C_DetectionResultWrapperStr(
|
||||
__fd_keep FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper);
|
||||
|
||||
#ifdef __cplusplus
|
||||
} // extern "C"
|
||||
#endif
|
||||
|
||||
@@ -29,11 +29,31 @@ FD_C_Mat FD_C_VisDetection(FD_C_Mat im,
|
||||
FD_C_CreateDetectionResultWrapperFromData(fd_c_detection_result);
|
||||
auto& detection_result = CHECK_AND_CONVERT_FD_TYPE(
|
||||
DetectionResultWrapper, fd_c_detection_result_wrapper);
|
||||
cv::Mat result = fastdeploy::vision::Visualize::VisDetection(
|
||||
cv::Mat result = fastdeploy::vision::VisDetection(
|
||||
*(reinterpret_cast<cv::Mat*>(im)), *detection_result, score_threshold,
|
||||
line_size, font_size);
|
||||
return new cv::Mat(result);
|
||||
}
|
||||
|
||||
FD_C_Mat FD_C_VisDetectionWithLabel(FD_C_Mat im,
|
||||
FD_C_DetectionResult* fd_c_detection_result,
|
||||
FD_C_OneDimArrayCstr* labels,
|
||||
float score_threshold, int line_size,
|
||||
float font_size) {
|
||||
std::vector<std::string> labels_in;
|
||||
for (int i = 0; i < labels->size; i++) {
|
||||
labels_in.emplace_back(labels->data[i].data);
|
||||
}
|
||||
FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper =
|
||||
FD_C_CreateDetectionResultWrapperFromData(fd_c_detection_result);
|
||||
auto& detection_result = CHECK_AND_CONVERT_FD_TYPE(
|
||||
DetectionResultWrapper, fd_c_detection_result_wrapper);
|
||||
cv::Mat result = fastdeploy::vision::VisDetection(
|
||||
*(reinterpret_cast<cv::Mat*>(im)), *detection_result, labels_in,
|
||||
score_threshold, line_size, font_size);
|
||||
return new cv::Mat(result);
|
||||
}
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
||||
@@ -22,15 +22,37 @@
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
/** \brief Visualize Detection
|
||||
/** \brief Show the visualized results for detection models
|
||||
*
|
||||
* \return Return a pointer to cv::Mat object
|
||||
* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
|
||||
* \param[in] result the result produced by model
|
||||
* \param[in] score_threshold threshold for result scores, the bounding box will not be shown if the score is less than score_threshold
|
||||
* \param[in] line_size line size for bounding boxes
|
||||
* \param[in] font_size font size for text
|
||||
* \return cv::Mat type stores the visualized results
|
||||
*/
|
||||
|
||||
FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat
|
||||
FD_C_VisDetection(FD_C_Mat im, FD_C_DetectionResult* fd_detection_result,
|
||||
float score_threshold, int line_size, float font_size);
|
||||
|
||||
/** \brief Show the visualized results with custom labels for detection models
|
||||
*
|
||||
* \param[in] im the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
|
||||
* \param[in] result the result produced by model
|
||||
* \param[in] labels the visualized result will show the bounding box contain class label
|
||||
* \param[in] score_threshold threshold for result scores, the bounding box will not be shown if the score is less than score_threshold
|
||||
* \param[in] line_size line size for bounding boxes
|
||||
* \param[in] font_size font size for text
|
||||
* \return cv::Mat type stores the visualized results
|
||||
*/
|
||||
FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_Mat FD_C_VisDetectionWithLabel(
|
||||
FD_C_Mat im,
|
||||
FD_C_DetectionResult* fd_detection_result,
|
||||
FD_C_OneDimArrayCstr* labels,
|
||||
float score_threshold,
|
||||
int line_size, float font_size);
|
||||
|
||||
#ifdef __cplusplus
|
||||
} // extern "C"
|
||||
#endif
|
||||
|
||||
Reference in New Issue
Block a user