Add RKYOLOv5 RKYOLOX RKYOLOV7 (#709)

* 更正代码格式

* 更正代码格式

* 修复语法错误

* fix rk error

* update

* update

* update

* update

* update

* update

* update

Co-authored-by: Jason <jiangjiajun@baidu.com>

fastdeploy/vision/detection/contrib/rknpu2/preprocessor.h

@@ -0,0 +1,100 @@
+// 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/result.h"
+
+namespace fastdeploy {
+namespace vision {
+
+namespace detection {
+/*! @brief Preprocessor object for YOLOv5 serials model.
+ */
+class FASTDEPLOY_DECL RKYOLOPreprocessor {
+ public:
+  /** \brief Create a preprocessor instance for YOLOv5 serials model
+   */
+  RKYOLOPreprocessor();
+
+  /** \brief Process the input image and prepare input tensors for runtime
+   *
+   * \param[in] images The input image data list, all the elements are returned by cv::imread()
+   * \param[in] outputs The output tensors which will feed in runtime
+   * \param[in] ims_info The shape info list, record input_shape and output_shape
+   * \return true if the preprocess successed, otherwise false
+   */
+  bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs);
+
+  /// Set target size, tuple of (width, height), default size = {640, 640}
+  void SetSize(const std::vector<int>& size) { size_ = size; }
+
+  /// Get target size, tuple of (width, height), default size = {640, 640}
+  std::vector<int> GetSize() const { return size_; }
+
+  /// Set padding value, size should be the same as channels
+  void SetPaddingValue(const std::vector<float>& padding_value) {
+    padding_value_ = padding_value;
+  }
+
+  /// Get padding value, size should be the same as channels
+  std::vector<float> GetPaddingValue() const { return padding_value_; }
+
+  /// Set is_scale_up, if is_scale_up is false, the input image only
+  /// can be zoom out, the maximum resize scale cannot exceed 1.0, default true
+  void SetScaleUp(bool is_scale_up) { is_scale_up_ = is_scale_up; }
+
+  /// Get is_scale_up, default true
+  bool GetScaleUp() const { return is_scale_up_; }
+
+  std::vector<std::vector<int>> GetPadHWValues() const {
+    return pad_hw_values_;
+  }
+  std::vector<float> GetScale() const { return scale_; }
+
+ protected:
+  bool Preprocess(FDMat* mat, FDTensor* output);
+
+  void LetterBox(FDMat* mat);
+
+  // target size, tuple of (width, height), default size = {640, 640}
+  std::vector<int> size_;
+
+  // padding value, size should be the same as channels
+  std::vector<float> padding_value_;
+
+  // only pad to the minimum rectange which height and width is times of stride
+  bool is_mini_pad_;
+
+  // while is_mini_pad = false and is_no_pad = true,
+  // will resize the image to the set size
+  bool is_no_pad_;
+
+  // if is_scale_up is false, the input image only can be zoom out,
+  // the maximum resize scale cannot exceed 1.0
+  bool is_scale_up_;
+
+  // padding stride, for is_mini_pad
+  int stride_;
+
+  // for offseting the boxes by classes when using NMS
+  float max_wh_;
+
+  std::vector<std::vector<int>> pad_hw_values_;
+  std::vector<float> scale_;
+};
+
+}  // namespace detection
+}  // namespace vision
+}  // namespace fastdeploy