Files
FastDeploy/fastdeploy/vision/perception/paddle3d/smoke/preprocessor.h
yeliang2258 a509dd8ec1 [Model] Add Paddle3D smoke model (#1766)
* 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>
2023-04-14 16:30:56 +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/manager.h"
#include "fastdeploy/vision/common/processors/transform.h"
#include "fastdeploy/vision/common/result.h"
namespace fastdeploy {
namespace vision {
namespace perception {
/*! @brief Preprocessor object for Smoke serials model.
*/
class FASTDEPLOY_DECL SmokePreprocessor : public ProcessorManager {
public:
SmokePreprocessor() = default;
/** \brief Create a preprocessor instance for Smoke model
*
* \param[in] config_file Path of configuration file for deployment, e.g smoke/infer_cfg.yml
*/
explicit SmokePreprocessor(const std::string& config_file);
/** \brief Process the input image and prepare input tensors for runtime
*
* \param[in] images The input image data list, all the elements are returned by cv::imread()
* \param[in] outputs The output tensors which will feed in runtime
* \param[in] ims_info The shape info list, record input_shape and output_shape
* \return true if the preprocess successed, otherwise false
*/
bool Apply(FDMatBatch* image_batch, std::vector<FDTensor>* outputs);
protected:
bool BuildPreprocessPipelineFromConfig();
std::vector<std::shared_ptr<Processor>> processors_;
bool disable_permute_ = false;
bool initialized_ = false;
std::string config_file_;
std::vector<float> input_k_data_;
std::vector<float> input_ratio_data_;
};
} // namespace perception
} // namespace vision
} // namespace fastdeploy