[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

c_api/fastdeploy_capi/fd_type.h

@@ -67,6 +67,11 @@ typedef struct FD_C_TwoDimArrayFloat {
 
 typedef void* FD_C_Mat;
 
+typedef struct FD_C_OneDimMat {
+  size_t size;
+  FD_C_Mat* data;
+} FD_C_OneDimMat;
+
 #ifdef __cplusplus
 extern "C" {
 #endif

c_api/fastdeploy_capi/types_internal.cc

@@ -18,38 +18,108 @@ namespace fastdeploy {
 
 #ifdef ENABLE_VISION
 
-std::unique_ptr<fastdeploy::vision::classification::PaddleClasModel>&
+// results:
-FD_C_CheckAndConvertPaddleClasModelWrapper(
-    FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper) {
-  FDASSERT(
-      fd_c_paddleclas_model_wrapper != nullptr,
-      "The pointer of fd_c_paddleclas_model_wrapper shouldn't be nullptr.");
-  return fd_c_paddleclas_model_wrapper->paddleclas_model;
-}
 
-std::unique_ptr<fastdeploy::vision::detection::PPYOLOE>&
+// ClassifyResult
-FD_C_CheckAndConvertPPYOLOEWrapper(FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper) {
+DECL_AND_IMPLEMENT_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(
-  FDASSERT(fd_c_ppyoloe_wrapper != nullptr,
+    ClassifyResult, fd_classify_result_wrapper, classify_result)
-           "The pointer of fd_c_ppyoloe_wrapper shouldn't be nullptr.");
+// DetectionResult
-  return fd_c_ppyoloe_wrapper->ppyoloe_model;
+DECL_AND_IMPLEMENT_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(
-}
+    DetectionResult, fd_detection_result_wrapper, detection_result)
 
-std::unique_ptr<fastdeploy::vision::ClassifyResult>&
+// Models:
-FD_C_CheckAndConvertClassifyResultWrapper(
+
-    FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper) {
+// Classification
-  FDASSERT(fd_c_classify_result_wrapper != nullptr,
+
-           "The pointer of fd_c_classify_result_wrapper shouldn't be nullptr.");
+// PaddleClasModel
-  return fd_c_classify_result_wrapper->classify_result;
+DECL_AND_IMPLEMENT_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
-}
+    PaddleClasModel, fd_paddleclas_model_wrapper, paddleclas_model)
+
+// detection models:
+
+// PPYOLOE
+
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PPYOLOE, fd_ppyoloe_wrapper, ppyoloe_model)
+
+// PicoDet
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PicoDet, fd_picodet_wrapper, picodet_model)
+
+// PPYOLO
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PPYOLO, fd_ppyolo_wrapper, ppyolo_model)
+
+// YOLOv3
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    YOLOv3, fd_yolov3_wrapper, yolov3_model)
+
+// PaddleYOLOX
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PaddleYOLOX, fd_paddleyolox_wrapper, paddleyolox_model)
+
+// FasterRCNN
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    FasterRCNN, fd_fasterrcnn_wrapper, fasterrcnn_model)
+
+// MaskRCNN
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    MaskRCNN, fd_maskrcnn_wrapper, maskrcnn_model)
+
+// SSD
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(SSD,
+                                                                 fd_ssd_wrapper,
+                                                                 ssd_model)
+
+// PaddleYOLOv5
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PaddleYOLOv5, fd_paddleyolov5_wrapper, paddleyolov5_model)
+
+// PaddleYOLOv6
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PaddleYOLOv6, fd_paddleyolov6_wrapper, paddleyolov6_model)
+
+// PaddleYOLOv7
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PaddleYOLOv7, fd_paddleyolov7_wrapper, paddleyolov7_model)
+
+// PaddleYOLOv8
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PaddleYOLOv8, fd_paddleyolov8_wrapper, paddleyolov8_model)
+
+// RTMDet
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    RTMDet, fd_rtmdet_wrapper, rtmdet_model)
+
+// CascadeRCNN
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    CascadeRCNN, fd_cascadercnn_wrapper, cascadercnn_model)
+
+// PSSDet
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PSSDet, fd_pssdet_wrapper, pssdet_model)
+
+// RetinaNet
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    RetinaNet, fd_retinanet_wrapper, retinanet_model)
+
+// FCOS
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    FCOS, fd_fcos_wrapper, fcos_model)
+
+// TTFNet
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    TTFNet, fd_ttfnet_wrapper, ttfnet_model)
+
+// TOOD
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    TOOD, fd_tood_wrapper, tood_model)
+
+// GFL
+DECL_AND_IMPLEMENT_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(GFL,
+                                                                 fd_gfl_wrapper,
+                                                                 gfl_model)
 
-std::unique_ptr<fastdeploy::vision::DetectionResult>&
-FD_C_CheckAndConvertDetectionResultWrapper(
-    FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper) {
-  FDASSERT(
-      fd_c_detection_result_wrapper != nullptr,
-      "The pointer of fd_c_detection_result_wrapper shouldn't be nullptr.");
-  return fd_c_detection_result_wrapper->detection_result;
-}
 #endif
 
 std::unique_ptr<fastdeploy::RuntimeOption>&

c_api/fastdeploy_capi/types_internal.h

@@ -23,39 +23,246 @@
 #include "fastdeploy/vision/common/result.h"
 #include "fastdeploy/vision/detection/ppdet/model.h"
 
-typedef struct FD_C_ClassifyResultWrapper {
+#define DEFINE_RESULT_WRAPPER_STRUCT(typename, varname) typedef struct FD_C_##typename##Wrapper { \
-  std::unique_ptr<fastdeploy::vision::ClassifyResult> classify_result;
+  std::unique_ptr<fastdeploy::vision::typename> varname; \
-} FD_C_ClassifyResultWrapper;
+} FD_C_##typename##Wrapper
 
-typedef struct FD_C_DetectionResultWrapper {
+#define DEFINE_CLASSIFICATION_MODEL_WRAPPER_STRUCT(typename, varname)  typedef struct FD_C_##typename##Wrapper { \
-  std::unique_ptr<fastdeploy::vision::DetectionResult> detection_result;
+  std::unique_ptr<fastdeploy::vision::classification::typename> \
-} FD_C_DetectionResultWrapper;
+      varname; \
+} FD_C_##typename##Wrapper
 
-typedef struct FD_C_PaddleClasModelWrapper {
+#define DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(typename, varname)  typedef struct FD_C_##typename##Wrapper { \
-  std::unique_ptr<fastdeploy::vision::classification::PaddleClasModel>
+  std::unique_ptr<fastdeploy::vision::detection::typename> varname; \
-      paddleclas_model;
+} FD_C_##typename##Wrapper
-} FD_C_PaddleClasModelWrapper;
 
-typedef struct FD_C_PPYOLOEWrapper {
+// -------------  belows are wrapper struct define --------------------- //
-  std::unique_ptr<fastdeploy::vision::detection::PPYOLOE> ppyoloe_model;
+
-} FD_C_PPYOLOEWrapper;
+// Results:
+
+// ClassifyResult
+DEFINE_RESULT_WRAPPER_STRUCT(ClassifyResult, classify_result);
+
+// DetectionResult
+DEFINE_RESULT_WRAPPER_STRUCT(DetectionResult, detection_result);
+
+
+// Models:
+
+// Classification
+
+// PaddleClasModel
+
+DEFINE_CLASSIFICATION_MODEL_WRAPPER_STRUCT(PaddleClasModel, paddleclas_model);
+
+// Detection
+
+// PPYOLOE
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PPYOLOE, ppyoloe_model);
+
+
+// PicoDet
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PicoDet, picodet_model);
+
+// PPYOLO
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PPYOLO, ppyolo_model);
+
+// YOLOv3
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(YOLOv3, yolov3_model);
+
+// PaddleYOLOX
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOX, paddleyolox_model);
+
+// FasterRCNN
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(FasterRCNN, fasterrcnn_model);
+
+// MaskRCNN
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(MaskRCNN, maskrcnn_model);
+
+// SSD
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(SSD, ssd_model);
+
+// PaddleYOLOv5
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv5, paddleyolov5_model);
+
+// PaddleYOLOv6
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv6, paddleyolov6_model);
+
+// PaddleYOLOv7
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv7, paddleyolov7_model);
+
+// PaddleYOLOv8
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PaddleYOLOv8, paddleyolov8_model);
+
+// RTMDet
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(RTMDet, rtmdet_model);
+
+// CascadeRCNN
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(CascadeRCNN, cascadercnn_model);
+
+// PSSDet
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(PSSDet, pssdet_model);
+
+// RetinaNet
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(RetinaNet, retinanet_model);
+
+
+// FCOS
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(FCOS, fcos_model);
+
+// TTFNet
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(TTFNet, ttfnet_model);
+
+// TOOD
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(TOOD, tood_model);
+
+// GFL
+DEFINE_DETECTION_MODEL_WRAPPER_STRUCT(GFL, gfl_model);
+
+
+// -------------  belows are function declaration for get ptr from wrapper --------------------- //
+
+#define DECLARE_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, varname) std::unique_ptr<fastdeploy::vision::typename>& \
+FD_C_CheckAndConvert##typename##Wrapper( \
+    FD_C_##typename##Wrapper* varname)
+
+#define DECLARE_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, varname) std::unique_ptr<fastdeploy::vision::classification::typename>& \
+FD_C_CheckAndConvert##typename##Wrapper( \
+    FD_C_##typename##Wrapper* varname)
+
+#define DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(typename, varname) std::unique_ptr<fastdeploy::vision::detection::typename>& \
+FD_C_CheckAndConvert##typename##Wrapper( \
+    FD_C_##typename##Wrapper* varname)
 
 namespace fastdeploy {
-std::unique_ptr<fastdeploy::vision::ClassifyResult>&
+
-FD_C_CheckAndConvertClassifyResultWrapper(
+// results:
-    FD_C_ClassifyResultWrapper* fd_classify_result_wrapper);
+
-std::unique_ptr<fastdeploy::vision::DetectionResult>&
+// ClassifyResult
-FD_C_CheckAndConvertDetectionResultWrapper(
+DECLARE_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(ClassifyResult,
-    FD_C_DetectionResultWrapper* fd_detection_result_wrapper);
+                                             fd_classify_result_wrapper);
-std::unique_ptr<fastdeploy::vision::classification::PaddleClasModel>&
+// DetectionResult
-FD_C_CheckAndConvertPaddleClasModelWrapper(
+DECLARE_RESULT_FUNC_FOR_GET_PTR_FROM_WRAPPER(DetectionResult,
-    FD_C_PaddleClasModelWrapper* fd_paddleclas_model_wrapper);
+                                             fd_detection_result_wrapper);
-std::unique_ptr<fastdeploy::vision::detection::PPYOLOE>&
+
-FD_C_CheckAndConvertPPYOLOEWrapper(FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper);
+// Models:
+
+// Classification
+
+// PaddleClasModel
+
+DECLARE_CLASSIFICATION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(
+    PaddleClasModel, fd_paddleclas_model_wrapper);
+
+
+// detection models:
+
+// PPYOLOE
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PPYOLOE,
+                                                      fd_ppyoloe_wrapper);
+
+// PicoDet
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PicoDet,
+                                                      fd_picodet_wrapper);
+
+// PPYOLO
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PPYOLO,
+                                                      fd_ppyolo_wrapper);
+
+// YOLOv3
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(YOLOv3,
+                                                      fd_yolov3_wrapper);
+
+// PaddleYOLOX
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOX,
+                                                      fd_paddleyolox_wrapper);
+
+// FasterRCNN
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(FasterRCNN,
+                                                      fd_fasterrcnn_wrapper);
+
+// MaskRCNN
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(MaskRCNN,
+                                                      fd_maskrcnn_wrapper);
+
+// SSD
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(SSD,
+                                                      fd_ssd_wrapper);
+
+// PaddleYOLOv5
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv5,
+                                                      fd_paddleyolov5_wrapper);
+
+// PaddleYOLOv6
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv6,
+                                                      fd_paddleyolov6_wrapper);
+
+// PaddleYOLOv7
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv7,
+                                                      fd_paddleyolov7_wrapper);
+
+// PaddleYOLOv8
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PaddleYOLOv8,
+                                                      fd_paddleyolov8_wrapper);
+
+// RTMDet
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(RTMDet,
+                                                      fd_rtmdet_wrapper);
+
+// CascadeRCNN
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(CascadeRCNN,
+                                                      fd_cascadercnn_wrapper);
+
+// PSSDet
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(PSSDet,
+                                                      fd_pssdet_wrapper);
+
+// RetinaNet
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(RetinaNet,
+                                                      fd_retinanet_wrapper);
+
+// FCOS
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(FCOS,
+                                                      fd_fcos_wrapper);
+
+// TTFNet
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(TTFNet,
+                                                      fd_ttfnet_wrapper);
+
+// TOOD
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(TOOD,
+                                                      fd_tood_wrapper);
+
+// GFL
+
+DECLARE_DETECTION_MODEL_FUNC_FOR_GET_PTR_FROM_WRAPPER(GFL,
+                                                      fd_gfl_wrapper);
+
 }  // namespace fastdeploy
 
 #endif
 
+
+
 typedef struct FD_C_RuntimeOptionWrapper {
   std::unique_ptr<fastdeploy::RuntimeOption> runtime_option;
 } FD_C_RuntimeOptionWrapper;
@@ -68,3 +275,27 @@ FD_C_CheckAndConvertRuntimeOptionWrapper(
 
 #define CHECK_AND_CONVERT_FD_TYPE(TYPENAME, variable_name)                     \
   fastdeploy::FD_C_CheckAndConvert##TYPENAME(variable_name)
+
+#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; \
+}

c_api/fastdeploy_capi/vision/classification/ppcls/model.cc

@@ -38,21 +38,82 @@ 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_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper, FD_C_Mat img,
-    FD_C_Mat img, FD_C_ClassifyResultWrapper* fd_c_classify_result_wrapper) {
+    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
 }
-#endif
+#endif

c_api/fastdeploy_capi/vision/classification/ppcls/model.h

@@ -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_keep FD_C_PaddleClasModelWrapper* fd_c_paddleclas_model_wrapper,
-    FD_C_Mat img, FD_C_ClassifyResultWrapper* fd_c_classify_result_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"

c_api/fastdeploy_capi/vision/detection/ppdet/base_define.h

@@ -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); \
+}

c_api/fastdeploy_capi/vision/detection/ppdet/model.cc

@@ -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,
+  IMPLEMENT_CREATE_WRAPPER_FUNCTION(PPYOLOE, ppyoloe_model);
-                                                   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;
 }
 
 void FD_C_DestroyPPYOLOEWrapper(
-    __fd_take FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper) {
+    __fd_take FD_C_PPYOLOEWrapper* fd_ppyoloe_wrapper) {
-  delete fd_c_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_PPYOLOEWrapper* fd_ppyoloe_wrapper, FD_C_Mat img,
-    FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper) {
+    FD_C_DetectionResult* fd_c_detection_result) {
-  cv::Mat* im = reinterpret_cast<cv::Mat*>(img);
+  IMPLEMENT_PREDICT_FUNCTION(PPYOLOE, fd_ppyoloe_wrapper);
-  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_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
+#endif

c_api/fastdeploy_capi/vision/result.cc

@@ -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
+#endif

c_api/fastdeploy_capi/vision/result.h

@@ -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

c_api/fastdeploy_capi/vision/visualize.cc

@@ -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
+#endif

c_api/fastdeploy_capi/vision/visualize.h

@@ -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