[Model] Add YOLOv5-seg (#988)

* add onnx_ort_runtime demo

* rm in requirements

* support batch eval

* fixed MattingResults bug

* move assignment for DetectionResult

* integrated x2paddle

* add model convert readme

* update readme

* re-lint

* add processor api

* Add MattingResult Free

* change valid_cpu_backends order

* add ppocr benchmark

* mv bs from 64 to 32

* fixed quantize.md

* fixed quantize bugs

* Add Monitor for benchmark

* update mem monitor

* Set trt_max_batch_size default 1

* fixed ocr benchmark bug

* support yolov5 in serving

* Fixed yolov5 serving

* Fixed postprocess

* update yolov5 to 7.0

* add poros runtime demos

* update readme

* Support poros abi=1

* rm useless note

* deal with comments

* support pp_trt for ppseg

* fixed symlink problem

* Add is_mini_pad and stride for yolov5

* Add yolo series for paddle format

* fixed bugs

* fixed bug

* support yolov5seg

* fixed bug

* refactor yolov5seg

* fixed bug

* mv Mask int32 to uint8

* add yolov5seg example

* rm log info

* fixed code style

* add yolov5seg example in python

* fixed dtype bug

* update note

* deal with comments

* get sorted index

* add yolov5seg test case

* Add GPL-3.0 License

* add round func

* deal with comments

* deal with commens

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

fastdeploy/vision/detection/contrib/yolov5seg/postprocessor.h

@@ -0,0 +1,79 @@
+// 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 YOLOv5Seg serials model.
+ */
+class FASTDEPLOY_DECL YOLOv5SegPostprocessor {
+ public:
+  /** \brief Create a postprocessor instance for YOLOv5Seg serials model
+   */
+  YOLOv5SegPostprocessor();
+
+  /** \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_; }
+
+  /// Set multi_label, set true for eval, default true
+  void SetMultiLabel(bool multi_label) {
+    multi_label_ = multi_label;
+  }
+
+  /// Get multi_label, default true
+  bool GetMultiLabel() const { return multi_label_; }
+
+ protected:
+  float conf_threshold_;
+  float nms_threshold_;
+  bool multi_label_;
+  float max_wh_;
+  // channel nums of masks
+  int mask_nums_;
+  // mask threshold
+  float mask_threshold_;
+};
+
+}  // namespace detection
+}  // namespace vision
+}  // namespace fastdeploy