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https://github.com/PaddlePaddle/FastDeploy.git
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3eb571a047
* add c api to test ppclas model * fix * add ppdet * refactor c api code * remove local test make * fix a bug * fix according to review * format file * format file * format file * add types_internal.cc --------- Co-authored-by: heliqi <1101791222@qq.com>
53 lines
2.2 KiB
C++
53 lines
2.2 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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#include "fastdeploy_capi/vision/detection/ppdet/model.h"
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#include "fastdeploy_capi/types_internal.h"
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#include "fastdeploy_capi/vision/visualize.h"
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extern "C" {
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FD_C_PPYOLOEWrapper* FD_C_CreatesPPYOLOEWrapper(
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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_PPYOLOEWrapper* fd_c_ppyoloe_wrapper = new FD_C_PPYOLOEWrapper();
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fd_c_ppyoloe_wrapper->ppyoloe_model =
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std::unique_ptr<fastdeploy::vision::detection::PPYOLOE>(
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new fastdeploy::vision::detection::PPYOLOE(
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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_ppyoloe_wrapper;
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}
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void FD_C_DestroyPPYOLOEWrapper(
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__fd_take FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper) {
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delete fd_c_ppyoloe_wrapper;
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}
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FD_C_Bool FD_C_PPYOLOEWrapperPredict(
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FD_C_PPYOLOEWrapper* fd_c_ppyoloe_wrapper, FD_C_Mat img,
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FD_C_DetectionResultWrapper* fd_c_detection_result_wrapper) {
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cv::Mat* im = reinterpret_cast<cv::Mat*>(img);
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auto& ppyoloe_model =
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CHECK_AND_CONVERT_FD_TYPE(PPYOLOEWrapper, fd_c_ppyoloe_wrapper);
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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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return ppyoloe_model->Predict(im, detection_result.get());
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}
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} |