Files
FastDeploy/fastdeploy/vision/ocr/ppocr/cls_postprocessor.h
Thomas Young 143506b654 [Model] change ocr pre and post (#568)
* change ocr pre and post

* add pybind

* change ocr

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix copy bug

* fix code style

* fix bug

* add new function

* fix windows ci bug
2022-11-18 13:17:42 +08:00

52 lines
1.7 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"
#include "fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.h"
namespace fastdeploy {
namespace vision {
namespace ocr {
/*! @brief Postprocessor object for Classifier serials model.
*/
class FASTDEPLOY_DECL ClassifierPostprocessor {
public:
/** \brief Create a postprocessor instance for Classifier serials model
*
*/
ClassifierPostprocessor();
/** \brief Process the result of runtime and fill to ClassifyResult structure
*
* \param[in] tensors The inference result from runtime
* \param[in] cls_labels The output result of classification
* \param[in] cls_scores The output result of classification
* \return true if the postprocess successed, otherwise false
*/
bool Run(const std::vector<FDTensor>& tensors,
std::vector<int32_t>* cls_labels, std::vector<float>* cls_scores);
float cls_thresh_ = 0.9;
private:
bool initialized_ = false;
};
} // namespace ocr
} // namespace vision
} // namespace fastdeploy