Files
FastDeploy/fastdeploy/vision/detection/contrib/yolov7/postprocessor.h
WJJ1995 8dd3e64227 [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>
2022-11-18 10:52:02 +08:00

67 lines
2.1 KiB
C++
Executable File

// 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