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* 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 Co-authored-by: Jason <928090362@qq.com> Co-authored-by: Jason <jiangjiajun@baidu.com>
67 lines
2.0 KiB
C++
67 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/base.h"
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namespace fastdeploy {
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namespace vision {
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class FASTDEPLOY_DECL ConvertAndPermute : public Processor {
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public:
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ConvertAndPermute(const std::vector<float>& alpha = std::vector<float>(),
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const std::vector<float>& beta = std::vector<float>(),
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bool swap_rb = false);
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bool ImplByOpenCV(FDMat* mat);
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#ifdef ENABLE_FLYCV
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bool ImplByFlyCV(FDMat* mat);
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#endif
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std::string Name() { return "ConvertAndPermute"; }
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static bool Run(FDMat* mat, const std::vector<float>& alpha,
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const std::vector<float>& beta, bool swap_rb = false,
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ProcLib lib = ProcLib::DEFAULT);
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std::vector<float> GetAlpha() const { return alpha_; }
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void SetAlpha(const std::vector<float>& alpha) {
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alpha_.clear();
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std::vector<float>().swap(alpha_);
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alpha_.assign(alpha.begin(), alpha.end());
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}
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std::vector<float> GetBeta() const { return beta_; }
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void SetBeta(const std::vector<float>& beta) {
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beta_.clear();
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std::vector<float>().swap(beta_);
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beta_.assign(beta.begin(), beta.end());
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}
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bool GetSwapRB() {
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return swap_rb_;
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}
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void SetSwapRB(bool swap_rb) {
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swap_rb_ = swap_rb;
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}
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private:
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std::vector<float> alpha_;
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std::vector<float> beta_;
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bool swap_rb_;
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};
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} // namespace vision
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} // namespace fastdeploy
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