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* add smoke model * add 3d vis * update code * update doc * mv paddle3d from detection to perception * update result for velocity * update code for CI * add set input data for TRT backend * add serving support for smoke model * update code * update code * update code --------- Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
62 lines
2.0 KiB
C++
Executable File
62 lines
2.0 KiB
C++
Executable File
// 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/manager.h"
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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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namespace fastdeploy {
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namespace vision {
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namespace perception {
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/*! @brief Preprocessor object for Smoke serials model.
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*/
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class FASTDEPLOY_DECL SmokePreprocessor : public ProcessorManager {
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public:
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SmokePreprocessor() = default;
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/** \brief Create a preprocessor instance for Smoke model
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*
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* \param[in] config_file Path of configuration file for deployment, e.g smoke/infer_cfg.yml
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*/
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explicit SmokePreprocessor(const std::string& config_file);
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/** \brief Process the input image and prepare input tensors for runtime
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*
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* \param[in] images The input image data list, all the elements are returned by cv::imread()
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* \param[in] outputs The output tensors which will feed in runtime
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* \param[in] ims_info The shape info list, record input_shape and output_shape
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* \return true if the preprocess successed, otherwise false
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*/
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bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs);
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protected:
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bool BuildPreprocessPipelineFromConfig();
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std::vector<std::shared_ptr<Processor>> processors_;
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bool disable_permute_ = false;
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bool initialized_ = false;
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std::string config_file_;
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std::vector<float> input_k_data_;
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std::vector<float> input_ratio_data_;
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};
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} // namespace perception
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} // namespace vision
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} // namespace fastdeploy
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