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https://github.com/PaddlePaddle/FastDeploy.git
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aa6931bee9
* 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>
80 lines
2.5 KiB
C++
Executable File
80 lines
2.5 KiB
C++
Executable File
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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namespace fastdeploy {
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namespace vision {
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namespace detection {
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/*! @brief Postprocessor object for YOLOv5Seg serials model.
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*/
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class FASTDEPLOY_DECL YOLOv5SegPostprocessor {
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public:
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/** \brief Create a postprocessor instance for YOLOv5Seg serials model
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*/
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YOLOv5SegPostprocessor();
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/** \brief Process the result of runtime and fill to DetectionResult structure
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*
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* \param[in] tensors The inference result from runtime
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* \param[in] result The output result of detection
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* \param[in] ims_info The shape info list, record input_shape and output_shape
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* \return true if the postprocess successed, otherwise false
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*/
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bool Run(const std::vector<FDTensor>& tensors,
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std::vector<DetectionResult>* results,
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const std::vector<std::map<std::string, std::array<float, 2>>>& ims_info);
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/// Set conf_threshold, default 0.25
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void SetConfThreshold(const float& conf_threshold) {
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conf_threshold_ = conf_threshold;
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}
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/// Get conf_threshold, default 0.25
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float GetConfThreshold() const { return conf_threshold_; }
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/// Set nms_threshold, default 0.5
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void SetNMSThreshold(const float& nms_threshold) {
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nms_threshold_ = nms_threshold;
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}
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/// Get nms_threshold, default 0.5
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float GetNMSThreshold() const { return nms_threshold_; }
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/// Set multi_label, set true for eval, default true
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void SetMultiLabel(bool multi_label) {
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multi_label_ = multi_label;
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}
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/// Get multi_label, default true
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bool GetMultiLabel() const { return multi_label_; }
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protected:
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float conf_threshold_;
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float nms_threshold_;
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bool multi_label_;
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float max_wh_;
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// channel nums of masks
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int mask_nums_;
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// mask threshold
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float mask_threshold_;
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};
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} // namespace detection
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} // namespace vision
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} // namespace fastdeploy
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