mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-07 01:22:59 +08:00
866d044898
* model done, CLA fix * remove letter_box and ConvertAndPermute, use resize hwc2chw and convert in preprocess * remove useless values in preprocess * remove useless values in preprocess * fix reviewed problem * fix reviewed problem pybind * fix reviewed problem pybind * postprocess fix * add test_fastestdet.py, coco_val2017_500 fixed done, ready to review * fix reviewed problem * python/.../fastestdet.py * fix infer.cc, preprocess, python/fastestdet.py * fix examples/python/infer.py
68 lines
2.2 KiB
C++
68 lines
2.2 KiB
C++
// 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 FastestDet serials model.
|
|
*/
|
|
class FASTDEPLOY_DECL FastestDetPostprocessor {
|
|
public:
|
|
/** \brief Create a postprocessor instance for FastestDet serials model
|
|
*/
|
|
FastestDetPostprocessor();
|
|
|
|
/** \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 0.65
|
|
void SetConfThreshold(const float& conf_threshold) {
|
|
conf_threshold_ = conf_threshold;
|
|
}
|
|
|
|
/// Get conf_threshold, default 0.65
|
|
float GetConfThreshold() const { return conf_threshold_; }
|
|
|
|
/// Set nms_threshold, default 0.45
|
|
void SetNMSThreshold(const float& nms_threshold) {
|
|
nms_threshold_ = nms_threshold;
|
|
}
|
|
|
|
/// Get nms_threshold, default 0.45
|
|
float GetNMSThreshold() const { return nms_threshold_; }
|
|
|
|
protected:
|
|
float conf_threshold_;
|
|
float nms_threshold_;
|
|
float Sigmoid(float x);
|
|
float Tanh(float x);
|
|
};
|
|
|
|
} // namespace detection
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|