[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.h

@@ -0,0 +1,91 @@
+// 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.
+#pragma once
+#include "fastdeploy/vision/common/processors/manager.h"
+#include "fastdeploy/vision/common/processors/transform.h"
+#include "fastdeploy/vision/common/result.h"
+
+namespace fastdeploy {
+namespace vision {
+
+namespace ocr {
+/*! @brief Preprocessor object for DBDetector serials model.
+ */
+class FASTDEPLOY_DECL StructureV2LayoutPreprocessor : public ProcessorManager {
+ public:
+  StructureV2LayoutPreprocessor();
+
+  /** \brief Process the input image and prepare input tensors for runtime
+   *
+   * \param[in] image_batch The input image batch
+   * \param[in] outputs The output tensors which will feed in runtime
+   * \return true if the preprocess successed, otherwise false
+   */
+  virtual bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs);
+
+  /// Set preprocess normalize parameters, please call this API to customize
+  /// the normalize parameters, otherwise it will use the default normalize
+  /// parameters.
+  void SetNormalize(const std::vector<float>& mean,
+                    const std::vector<float>& std,
+                    bool is_scale) {
+    normalize_permute_op_ =
+        std::make_shared<NormalizeAndPermute>(mean, std, is_scale);
+  }
+
+  /// Get the image info of the last batch, return a list of array
+  /// {image width, image height, resize width, resize height}
+  const std::vector<std::array<int, 4>>* GetBatchLayoutImgInfo() {
+    return &batch_layout_img_info_;
+  }
+
+  /// This function will disable normalize in preprocessing step.
+  void DisableNormalize() { disable_permute_ = true; }
+  /// This function will disable hwc2chw in preprocessing step.
+  void DisablePermute() { disable_normalize_ = true; }
+  /// Set image_shape for the detection preprocess.
+  /// This api is usually used when you retrain the model.
+  /// Generally, you do not need to use it.
+  void SetLayoutImageShape(const std::vector<int>& image_shape) {
+    layout_image_shape_ = image_shape;
+  }
+  /// Get cls_image_shape for the classification preprocess
+  std::vector<int> GetLayoutImageShape() const { return layout_image_shape_; }
+  /// Set static_shape_infer is true or not. When deploy PP-StructureV2
+  /// on hardware which can not support dynamic input shape very well,
+  /// like Huawei Ascned, static_shape_infer needs to to be true.
+  void SetStaticShapeInfer(bool static_shape_infer) {
+    static_shape_infer_ = static_shape_infer;
+  }
+  /// Get static_shape_infer of the recognition preprocess
+  bool GetStaticShapeInfer() const { return static_shape_infer_; }
+
+ private:
+  bool ResizeLayoutImage(FDMat* img, int resize_w, int resize_h);
+  // for recording the switch of hwc2chw
+  bool disable_permute_ = false;
+  // for recording the switch of normalize
+  bool disable_normalize_ = false;
+  std::vector<std::array<int, 4>> batch_layout_img_info_;
+  std::shared_ptr<Resize> resize_op_;
+  std::shared_ptr<NormalizeAndPermute> normalize_permute_op_;
+  std::vector<int> layout_image_shape_ = {3, 800, 608}; // c,h,w
+  // default true for pp-structurev2-layout model, backbone picodet.
+  bool static_shape_infer_ = true;
+  std::array<int, 4> GetLayoutImgInfo(FDMat* img);
+};
+
+}  // namespace ocr
+}  // namespace vision
+}  // namespace fastdeploy