[Model] Support PP-StructureV2-Layout model (#1867)

* [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

fastdeploy/vision/ocr/ppocr/structurev2_layout_preprocessor.cc

@@ -0,0 +1,72 @@
+// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+#include "fastdeploy/vision/ocr/ppocr/structurev2_layout_preprocessor.h"
+#include "fastdeploy/vision/ocr/ppocr/utils/ocr_utils.h"
+
+namespace fastdeploy {
+namespace vision {
+namespace ocr {
+
+StructureV2LayoutPreprocessor::StructureV2LayoutPreprocessor() {
+  // default width(608) and height(900)
+  resize_op_ =
+      std::make_shared<Resize>(layout_image_shape_[2], layout_image_shape_[1]);
+  normalize_permute_op_ = std::make_shared<NormalizeAndPermute>(
+      std::vector<float>({0.485f, 0.456f, 0.406f}),
+      std::vector<float>({0.229f, 0.224f, 0.225f}), true);
+}
+
+std::array<int, 4> StructureV2LayoutPreprocessor::GetLayoutImgInfo(FDMat* img) {
+  if (static_shape_infer_) {
+    return {img->Width(), img->Height(), layout_image_shape_[2],
+            layout_image_shape_[1]};
+  } else {
+    FDASSERT(false, "not support dynamic shape inference now!")
+  }
+  return {img->Width(), img->Height(), layout_image_shape_[2],
+          layout_image_shape_[1]};
+}
+
+bool StructureV2LayoutPreprocessor::ResizeLayoutImage(FDMat* img, int resize_w,
+                                                      int resize_h) {
+  resize_op_->SetWidthAndHeight(resize_w, resize_h);
+  (*resize_op_)(img);
+  return true;
+}
+
+bool StructureV2LayoutPreprocessor::Apply(FDMatBatch* image_batch,
+                                          std::vector<FDTensor>* outputs) {
+  batch_layout_img_info_.clear();
+  batch_layout_img_info_.resize(image_batch->mats->size());
+  for (size_t i = 0; i < image_batch->mats->size(); ++i) {
+    FDMat* mat = &(image_batch->mats->at(i));
+    batch_layout_img_info_[i] = GetLayoutImgInfo(mat);
+    ResizeLayoutImage(mat, batch_layout_img_info_[i][2],
+                      batch_layout_img_info_[i][3]);
+  }
+  if (!disable_normalize_ && !disable_permute_) {
+    (*normalize_permute_op_)(image_batch);
+  }
+
+  outputs->resize(1);
+  FDTensor* tensor = image_batch->Tensor();
+  (*outputs)[0].SetExternalData(tensor->Shape(), tensor->Dtype(),
+                                tensor->Data(), tensor->device,
+                                tensor->device_id);
+  return true;
+}
+
+}  // namespace ocr
+}  // namespace vision
+}  // namespace fastdeploy