[Hackthon_4th 242] Support en_ppstructure_mobile_v2.0_SLANet (#1816)

* first draft

* update api name

* fix bug

* fix bug and

* fix bug in c api

* fix bug in c_api

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>

fastdeploy/vision/ocr/ppocr/structurev2_table_preprocessor.h

@@ -0,0 +1,74 @@
+// Copyright (c) 2022 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/transform.h"
+#include "fastdeploy/vision/common/processors/manager.h"
+#include "fastdeploy/vision/common/result.h"
+
+namespace fastdeploy {
+namespace vision {
+
+namespace ocr {
+/*! @brief Preprocessor object for table model.
+ */
+class FASTDEPLOY_DECL StructureV2TablePreprocessor : public ProcessorManager {
+ public:
+  StructureV2TablePreprocessor();
+  using ProcessorManager::Run;
+  /** \brief Process the input image and prepare input tensors for runtime
+   *
+   * \param[in] images The input data list, all the elements are FDMat
+   * \param[in] outputs The output tensors which will be fed into runtime
+   * \return true if the preprocess successed, otherwise false
+   */
+  bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs,
+           size_t start_index, size_t end_index,
+           const std::vector<int>& indices);
+
+  /** \brief Implement the virtual function of ProcessorManager, Apply() is the
+   *  body of Run(). Apply() contains the main logic of preprocessing, Run() is
+   *  called by users to execute preprocessing
+   *
+   * \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);
+
+  /// 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>>* GetBatchImgInfo() {
+    return &batch_det_img_info_;
+  }
+
+ private:
+  void StructureV2TableResizeImage(FDMat* mat, int batch_idx);
+  // for recording the switch of hwc2chw
+  bool disable_permute_ = false;
+  // for recording the switch of normalize
+  bool disable_normalize_ = false;
+  int max_len = 488;
+  std::vector<int> rec_image_shape_ = {3, max_len, max_len};
+  bool static_shape_infer_ = false;
+  std::shared_ptr<Resize> resize_op_;
+  std::shared_ptr<Pad> pad_op_;
+  std::shared_ptr<Normalize> normalize_op_;
+  std::shared_ptr<HWC2CHW> hwc2chw_op_;
+  std::vector<std::array<int, 4>> batch_det_img_info_;
+};
+
+}  // namespace ocr
+}  // namespace vision
+}  // namespace fastdeploy