Files
FastDeploy/fastdeploy/vision/perception/paddle3d/petr/postprocessor.h
CoolCola e3b285c762 [Model] Support Paddle3D PETR v2 model (#1863)
* Support PETR v2

* make petrv2 precision equal with the origin repo

* delete extra func

* modify review problem

* delete visualize

* Update README_CN.md

* Update README.md

* Update README_CN.md

* fix build problem

* delete external variable and function

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
2023-05-19 10:45:36 +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 perception {
/*! @brief Postprocessor object for Petr serials model.
*/
class FASTDEPLOY_DECL PetrPostprocessor {
public:
/** \brief Create a postprocessor instance for Petr serials model
*/
PetrPostprocessor();
/** \brief Process the result of runtime and fill to PerceptionResult 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<PerceptionResult>* results);
protected:
float conf_threshold_;
};
} // namespace perception
} // namespace vision
} // namespace fastdeploy