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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
73 lines
2.7 KiB
C++
73 lines
2.7 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_preprocessor.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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StructureV2LayoutPreprocessor::StructureV2LayoutPreprocessor() {
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// default width(608) and height(900)
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resize_op_ =
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std::make_shared<Resize>(layout_image_shape_[2], layout_image_shape_[1]);
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normalize_permute_op_ = std::make_shared<NormalizeAndPermute>(
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std::vector<float>({0.485f, 0.456f, 0.406f}),
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std::vector<float>({0.229f, 0.224f, 0.225f}), true);
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}
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std::array<int, 4> StructureV2LayoutPreprocessor::GetLayoutImgInfo(FDMat* img) {
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if (static_shape_infer_) {
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return {img->Width(), img->Height(), layout_image_shape_[2],
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layout_image_shape_[1]};
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} else {
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FDASSERT(false, "not support dynamic shape inference now!")
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}
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return {img->Width(), img->Height(), layout_image_shape_[2],
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layout_image_shape_[1]};
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}
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bool StructureV2LayoutPreprocessor::ResizeLayoutImage(FDMat* img, int resize_w,
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int resize_h) {
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resize_op_->SetWidthAndHeight(resize_w, resize_h);
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(*resize_op_)(img);
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return true;
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}
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bool StructureV2LayoutPreprocessor::Apply(FDMatBatch* image_batch,
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std::vector<FDTensor>* outputs) {
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batch_layout_img_info_.clear();
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batch_layout_img_info_.resize(image_batch->mats->size());
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for (size_t i = 0; i < image_batch->mats->size(); ++i) {
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FDMat* mat = &(image_batch->mats->at(i));
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batch_layout_img_info_[i] = GetLayoutImgInfo(mat);
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ResizeLayoutImage(mat, batch_layout_img_info_[i][2],
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batch_layout_img_info_[i][3]);
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}
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if (!disable_normalize_ && !disable_permute_) {
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(*normalize_permute_op_)(image_batch);
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}
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outputs->resize(1);
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FDTensor* tensor = image_batch->Tensor();
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(*outputs)[0].SetExternalData(tensor->Shape(), tensor->Dtype(),
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tensor->Data(), tensor->device,
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tensor->device_id);
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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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