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https://github.com/PaddlePaddle/FastDeploy.git
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58d63f3e90
* Add Huawei Ascend NPU deploy through PaddleLite CANN * Add NNAdapter interface for paddlelite * Modify Huawei Ascend Cmake * Update way for compiling Huawei Ascend NPU deployment * remove UseLiteBackend in UseCANN * Support compile python whlee * Change names of nnadapter API * Add nnadapter pybind and remove useless API * Support Python deployment on Huawei Ascend NPU * Add models suppor for ascend * Add PPOCR rec reszie for ascend * fix conflict for ascend * Rename CANN to Ascend * Rename CANN to Ascend * Improve ascend * fix ascend bug * improve ascend docs * improve ascend docs * improve ascend docs * Improve Ascend * Improve Ascend * Move ascend python demo * Imporve ascend * Improve ascend * Improve ascend * Improve ascend * Improve ascend * Imporve ascend * Imporve ascend * Improve ascend * acc eval script * acc eval * remove acc_eval from branch huawei * Add detection and segmentation examples for Ascend deployment * Add detection and segmentation examples for Ascend deployment * Add PPOCR example for ascend deploy * Imporve paddle lite compiliation * Add FlyCV doc * Add FlyCV doc * Add FlyCV doc * Imporve Ascend docs * Imporve Ascend docs
54 lines
2.0 KiB
C++
54 lines
2.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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#include "fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.h"
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namespace fastdeploy {
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namespace vision {
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namespace ocr {
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/*! @brief Postprocessor object for Classifier serials model.
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*/
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class FASTDEPLOY_DECL ClassifierPostprocessor {
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public:
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/** \brief Process the result of runtime and fill to ClassifyResult structure
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*
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* \param[in] tensors The inference result from runtime
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* \param[in] cls_labels The output label results of classification model
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* \param[in] cls_scores The output score results of classification model
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* \return true if the postprocess successed, otherwise false
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*/
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bool Run(const std::vector<FDTensor>& tensors,
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std::vector<int32_t>* cls_labels, std::vector<float>* cls_scores);
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bool Run(const std::vector<FDTensor>& tensors,
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std::vector<int32_t>* cls_labels, std::vector<float>* cls_scores,
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size_t start_index, size_t total_size);
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/// Set threshold for the classification postprocess, default is 0.9
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void SetClsThresh(float cls_thresh) { cls_thresh_ = cls_thresh; }
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/// Get threshold value of the classification postprocess.
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float GetClsThresh() const { return cls_thresh_; }
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float cls_thresh_ = 0.9;
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};
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} // namespace ocr
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} // namespace vision
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} // namespace fastdeploy
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