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https://github.com/PaddlePaddle/FastDeploy.git
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6d0261e9e4
* [Model] init pp-structurev2-layout code * [Model] init pp-structurev2-layout code * [Model] init pp-structurev2-layout code * [Model] add structurev2_layout_preprocessor * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [PP-StructureV2] add postprocessor and layout detector class * [pybind] add pp-structurev2-layout model pybind * [pybind] add pp-structurev2-layout model pybind * [Bug Fix] fixed code style * [examples] add pp-structurev2-layout c++ examples * [PP-StructureV2] add python example and docs * [benchmark] add pp-structurev2-layout benchmark support
103 lines
3.6 KiB
C++
103 lines
3.6 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/vision/ocr/ppocr/structurev2_layout.h"
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#include "fastdeploy/utils/perf.h"
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#include "fastdeploy/vision/ocr/ppocr/utils/ocr_utils.h"
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namespace fastdeploy {
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namespace vision {
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namespace ocr {
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StructureV2Layout::StructureV2Layout() {}
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StructureV2Layout::StructureV2Layout(const std::string& model_file,
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const std::string& params_file,
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const RuntimeOption& custom_option,
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const ModelFormat& model_format) {
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if (model_format == ModelFormat::ONNX) {
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valid_cpu_backends = {Backend::ORT, Backend::OPENVINO};
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valid_gpu_backends = {Backend::ORT, Backend::TRT};
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} else {
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valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::OPENVINO,
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Backend::LITE};
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valid_gpu_backends = {Backend::PDINFER, Backend::ORT, Backend::TRT};
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valid_kunlunxin_backends = {Backend::LITE};
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valid_ascend_backends = {Backend::LITE};
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valid_sophgonpu_backends = {Backend::SOPHGOTPU};
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valid_rknpu_backends = {Backend::RKNPU2};
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}
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runtime_option = custom_option;
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runtime_option.model_format = model_format;
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runtime_option.model_file = model_file;
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runtime_option.params_file = params_file;
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initialized = Initialize();
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}
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bool StructureV2Layout::Initialize() {
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if (!InitRuntime()) {
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FDERROR << "Failed to initialize fastdeploy backend." << std::endl;
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return false;
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}
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return true;
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}
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std::unique_ptr<StructureV2Layout> StructureV2Layout::Clone() const {
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std::unique_ptr<StructureV2Layout> clone_model =
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utils::make_unique<StructureV2Layout>(StructureV2Layout(*this));
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clone_model->SetRuntime(clone_model->CloneRuntime());
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return clone_model;
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}
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bool StructureV2Layout::Predict(cv::Mat* im, DetectionResult* result) {
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return Predict(*im, result);
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}
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bool StructureV2Layout::Predict(const cv::Mat& im, DetectionResult* result) {
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std::vector<DetectionResult> results;
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if (!BatchPredict({im}, &results)) {
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return false;
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}
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*result = std::move(results[0]);
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return true;
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}
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bool StructureV2Layout::BatchPredict(const std::vector<cv::Mat>& images,
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std::vector<DetectionResult>* results) {
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std::vector<FDMat> fd_images = WrapMat(images);
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if (!preprocessor_.Run(&fd_images, &reused_input_tensors_)) {
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FDERROR << "Failed to preprocess input image." << std::endl;
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return false;
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}
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auto batch_layout_img_info = preprocessor_.GetBatchLayoutImgInfo();
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reused_input_tensors_[0].name = InputInfoOfRuntime(0).name;
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if (!Infer(reused_input_tensors_, &reused_output_tensors_)) {
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FDERROR << "Failed to inference by runtime." << std::endl;
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return false;
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}
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if (!postprocessor_.Run(reused_output_tensors_, results,
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*batch_layout_img_info)) {
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FDERROR << "Failed to postprocess the inference results." << std::endl;
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return false;
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}
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return true;
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}
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} // namespace ocr
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} // namespace vision
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} // namespace fastdeploy
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