Files
FastDeploy/fastdeploy/vision/detection/contrib/yolov8/postprocessor.h
WJJ1995 02bd22422e [Model] Support YOLOv8 (#1137)
* add GPL lisence

* add GPL-3.0 lisence

* add GPL-3.0 lisence

* add GPL-3.0 lisence

* support yolov8

* add pybind for yolov8

* add yolov8 readme

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2023-01-16 11:24:23 +08:00

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// 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 YOLOv8 serials model.
*/
class FASTDEPLOY_DECL YOLOv8Postprocessor {
public:
/** \brief Create a postprocessor instance for YOLOv8 serials model
*/
YOLOv8Postprocessor();
/** \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_;
};
} // namespace detection
} // namespace vision
} // namespace fastdeploy