[Model] Refactor YOLOv7 module (#611)

* add paddle_trt in benchmark

* update benchmark in device

* update benchmark

* update result doc

* fixed for CI

* update python api_docs

* update index.rst

* add runtime cpp examples

* deal with comments

* Update infer_paddle_tensorrt.py

* Add runtime quick start

* deal with comments

* fixed reused_input_tensors&&reused_output_tensors

* fixed docs

* fixed headpose typo

* fixed typo

* refactor yolov5

* update model infer

* refactor pybind for yolov5

* rm origin yolov5

* fixed bugs

* rm cuda preprocess

* fixed bugs

* fixed bugs

* fixed bug

* fixed bug

* fix pybind

* rm useless code

* add convert_and_permute

* fixed bugs

* fixed im_info for bs_predict

* fixed bug

* add bs_predict for yolov5

* Add runtime test and batch eval

* deal with comments

* fixed bug

* update testcase

* fixed batch eval bug

* fixed preprocess bug

* refactor yolov7

* add yolov7 testcase

* rm resize_after_load and add is_scale_up

* fixed bug

* set multi_label true

Co-authored-by: Jason <928090362@qq.com>

fastdeploy/vision/detection/contrib/yolov7/postprocessor.h

@@ -0,0 +1,66 @@
+// 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 Postprocessor object for YOLOv7 serials model.
+ */
+class FASTDEPLOY_DECL YOLOv7Postprocessor {
+ public:
+  /** \brief Create a postprocessor instance for YOLOv7 serials model
+   */
+  YOLOv7Postprocessor();
+
+  /** \brief Process the result of runtime and fill to DetectionResult structure
+   *
+   * \param[in] tensors The inference result from runtime
+   * \param[in] result The output result of detection
+   * \param[in] ims_info The shape info list, record input_shape and output_shape
+   * \return true if the postprocess successed, otherwise false
+   */
+  bool Run(const std::vector<FDTensor>& tensors,
+      std::vector<DetectionResult>* results,
+      const std::vector<std::map<std::string, std::array<float, 2>>>& ims_info);
+
+  /// Set conf_threshold, default 0.25
+  void SetConfThreshold(const float& conf_threshold) {
+    conf_threshold_ = conf_threshold;
+  }
+
+  /// Get conf_threshold, default 0.25
+  float GetConfThreshold() const { return conf_threshold_; }
+
+  /// Set nms_threshold, default 0.5
+  void SetNMSThreshold(const float& nms_threshold) {
+    nms_threshold_ = nms_threshold;
+  }
+
+  /// Get nms_threshold, default 0.5
+  float GetNMSThreshold() const { return nms_threshold_; }
+
+ protected:
+  float conf_threshold_;
+  float nms_threshold_;
+  float max_wh_;
+};
+
+}  // namespace detection
+}  // namespace vision
+}  // namespace fastdeploy