mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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108 lines
4.5 KiB
C++
108 lines
4.5 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/segmentation/ppseg/model.h"
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#include "fastdeploy_capi/internal/types_internal.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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FD_C_PaddleSegModelWrapper* FD_C_CreatePaddleSegModelWrapper(
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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_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper =
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new FD_C_PaddleSegModelWrapper();
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fd_c_paddleseg_model_wrapper->segmentation_model =
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std::unique_ptr<fastdeploy::vision::segmentation::PaddleSegModel>(
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new fastdeploy::vision::segmentation::PaddleSegModel(
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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_paddleseg_model_wrapper;
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}
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void FD_C_DestroyPaddleSegModelWrapper(
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FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper) {
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delete fd_c_paddleseg_model_wrapper;
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}
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FD_C_Bool FD_C_PaddleSegModelWrapperPredict(
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FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper, FD_C_Mat img,
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FD_C_SegmentationResult* fd_c_segmentation_result) {
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cv::Mat* im = reinterpret_cast<cv::Mat*>(img);
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auto& paddleseg_model = CHECK_AND_CONVERT_FD_TYPE(
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PaddleSegModelWrapper, fd_c_paddleseg_model_wrapper);
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FD_C_SegmentationResultWrapper* fd_c_segmentation_result_wrapper =
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FD_C_CreateSegmentationResultWrapper();
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auto& segmentation_result = CHECK_AND_CONVERT_FD_TYPE(
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SegmentationResultWrapper, fd_c_segmentation_result_wrapper);
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bool successful = paddleseg_model->Predict(im, segmentation_result.get());
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if (successful) {
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FD_C_SegmentationResultWrapperToCResult(fd_c_segmentation_result_wrapper,
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fd_c_segmentation_result);
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}
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FD_C_DestroySegmentationResultWrapper(fd_c_segmentation_result_wrapper);
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return successful;
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}
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FD_C_Bool FD_C_PaddleSegModelWrapperInitialized(
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FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper) {
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auto& paddleseg_model = CHECK_AND_CONVERT_FD_TYPE(
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PaddleSegModelWrapper, fd_c_paddleseg_model_wrapper);
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return paddleseg_model->Initialized();
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}
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FD_C_Bool FD_C_PaddleSegModelWrapperBatchPredict(
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FD_C_PaddleSegModelWrapper* fd_c_paddleseg_model_wrapper,
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FD_C_OneDimMat imgs, FD_C_OneDimSegmentationResult* results) {
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std::vector<cv::Mat> imgs_vec;
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std::vector<FD_C_SegmentationResultWrapper*> results_wrapper_out;
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std::vector<fastdeploy::vision::SegmentationResult> results_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_SegmentationResultWrapper* fd_segmentation_result_wrapper =
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FD_C_CreateSegmentationResultWrapper();
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results_wrapper_out.push_back(fd_segmentation_result_wrapper);
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}
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auto& paddleseg_model = CHECK_AND_CONVERT_FD_TYPE(
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PaddleSegModelWrapper, fd_c_paddleseg_model_wrapper);
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bool successful = paddleseg_model->BatchPredict(imgs_vec, &results_out);
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if (successful) {
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// copy results back to FD_C_OneDimSegmentationResult
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results->size = results_out.size();
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results->data = new FD_C_SegmentationResult[results->size];
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for (int i = 0; i < results_out.size(); i++) {
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(*CHECK_AND_CONVERT_FD_TYPE(SegmentationResultWrapper,
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results_wrapper_out[i])) =
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std::move(results_out[i]);
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FD_C_SegmentationResultWrapperToCResult(results_wrapper_out[i],
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&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_DestroySegmentationResultWrapper(results_wrapper_out[i]);
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}
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return successful;
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}
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#ifdef __cplusplus
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}
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#endif
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