[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
2023-02-17 11:03:12 +08:00
committed by GitHub
parent c38b7d4377
commit db9739a76e
12 changed files with 1942 additions and 98 deletions

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@@ -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); \
}

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@@ -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
#endif

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