mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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586684daa9
* add c api for yolo serial models * fix bug * update batch predict func * fix * update code * split code
116 lines
6.0 KiB
C++
116 lines
6.0 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#define DECLARE_CREATE_WRAPPER_FUNCTION(model_type) FASTDEPLOY_CAPI_EXPORT extern __fd_give FD_C_##model_type##Wrapper* \
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FD_C_Create##model_type##Wrapper( \
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const char* model_file, const char* params_file, const char* config_file, \
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FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper, \
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const FD_C_ModelFormat model_format)
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#define DECLARE_DESTROY_WRAPPER_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern void \
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FD_C_Destroy##model_type##Wrapper(__fd_take FD_C_##model_type##Wrapper* wrapper_var_name);
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#define DECLARE_PREDICT_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_##model_type##WrapperPredict( \
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__fd_take FD_C_##model_type##Wrapper* wrapper_var_name, FD_C_Mat img, \
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FD_C_DetectionResult* fd_c_detection_result)
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#define DECLARE_INITIALIZED_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_##model_type##WrapperInitialized( \
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__fd_keep FD_C_##model_type##Wrapper* wrapper_var_name)
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#define DECLARE_BATCH_PREDICT_FUNCTION(model_type, wrapper_var_name) FASTDEPLOY_CAPI_EXPORT extern FD_C_Bool FD_C_##model_type##WrapperBatchPredict( \
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__fd_keep FD_C_##model_type##Wrapper* wrapper_var_name, \
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FD_C_OneDimMat imgs, \
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FD_C_OneDimDetectionResult* results)
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#define DECLARE_AND_IMPLEMENT_CREATE_WRAPPER_FUNCTION(model_type, var_name) FD_C_##model_type##Wrapper* FD_C_Create##model_type##Wrapper(\
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const char* model_file, const char* params_file, const char* config_file, \
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FD_C_RuntimeOptionWrapper* fd_c_runtime_option_wrapper, \
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const FD_C_ModelFormat model_format) { \
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auto& runtime_option = CHECK_AND_CONVERT_FD_TYPE(RuntimeOptionWrapper, \
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fd_c_runtime_option_wrapper); \
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FD_C_##model_type##Wrapper* fd_c_##model_type##_wrapper = new FD_C_##model_type##Wrapper(); \
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fd_c_##model_type##_wrapper->var_name = \
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std::unique_ptr<fastdeploy::vision::detection::model_type>( \
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new fastdeploy::vision::detection::model_type( \
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std::string(model_file), std::string(params_file), \
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std::string(config_file), *runtime_option, \
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static_cast<fastdeploy::ModelFormat>(model_format))); \
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return fd_c_##model_type##_wrapper;\
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}
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#define DECLARE_AND_IMPLEMENT_DESTROY_WRAPPER_FUNCTION(model_type, wrapper_var_name) void FD_C_Destroy##model_type##Wrapper( \
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__fd_take FD_C_##model_type##Wrapper* wrapper_var_name) { \
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delete wrapper_var_name; \
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}
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#define DECLARE_AND_IMPLEMENT_PREDICT_FUNCTION(model_type, wrapper_var_name) FD_C_Bool FD_C_##model_type##WrapperPredict( \
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FD_C_##model_type##Wrapper* wrapper_var_name, FD_C_Mat img, \
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FD_C_DetectionResult* fd_c_detection_result) { \
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cv::Mat* im = reinterpret_cast<cv::Mat*>(img); \
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auto& model = \
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CHECK_AND_CONVERT_FD_TYPE(model_type##Wrapper, wrapper_var_name); \
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FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper = \
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FD_C_CreateDetectionResultWrapper(); \
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auto& detection_result = CHECK_AND_CONVERT_FD_TYPE( \
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DetectionResultWrapper, fd_c_detection_result_wrapper); \
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bool successful = model->Predict(im, detection_result.get()); \
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if (successful) { \
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FD_C_DetectionResultWrapperToCResult(fd_c_detection_result_wrapper, fd_c_detection_result); \
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} \
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FD_C_DestroyDetectionResultWrapper(fd_c_detection_result_wrapper); \
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return successful; \
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}
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#define DECLARE_AND_IMPLEMENT_INITIALIZED_FUNCTION(model_type, wrapper_var_name) FD_C_Bool FD_C_##model_type##WrapperInitialized( \
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FD_C_##model_type##Wrapper* wrapper_var_name) { \
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auto& model = \
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CHECK_AND_CONVERT_FD_TYPE(model_type##Wrapper, wrapper_var_name); \
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return model->Initialized(); \
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}
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#define DECLARE_AND_IMPLEMENT_BATCH_PREDICT_FUNCTION(model_type, wrapper_var_name) FD_C_Bool FD_C_##model_type##WrapperBatchPredict( \
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FD_C_##model_type##Wrapper* wrapper_var_name, FD_C_OneDimMat imgs, \
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FD_C_OneDimDetectionResult* results) { \
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std::vector<cv::Mat> imgs_vec; \
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std::vector<fastdeploy::vision::DetectionResult> results_out; \
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std::vector<FD_C_DetectionResultWrapper*> results_wrapper_out; \
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for (int i = 0; i < imgs.size; i++) { \
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imgs_vec.push_back(*(reinterpret_cast<cv::Mat*>(imgs.data[i]))); \
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FD_C_DetectionResultWrapper* fd_detection_result_wrapper = FD_C_CreateDetectionResultWrapper(); \
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results_wrapper_out.push_back(fd_detection_result_wrapper); \
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} \
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auto& model = \
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CHECK_AND_CONVERT_FD_TYPE(model_type##Wrapper, wrapper_var_name); \
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bool successful = model->BatchPredict(imgs_vec, &results_out); \
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if (successful) { \
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results->size = results_out.size(); \
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results->data = new FD_C_DetectionResult[results->size]; \
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for (int i = 0; i < results_out.size(); i++) { \
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(*CHECK_AND_CONVERT_FD_TYPE(DetectionResultWrapper, \
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results_wrapper_out[i])) = std::move(results_out[i]); \
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FD_C_DetectionResultWrapperToCResult(results_wrapper_out[i], &results->data[i]); \
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} \
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} \
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for (int i = 0; i < results_out.size(); i++) { \
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FD_C_DestroyDetectionResultWrapper(results_wrapper_out[i]); \
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}\
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return successful; \
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}
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