Files
FastDeploy/fastdeploy/vision/facedet/contrib/centerface/preprocessor.h
yeliang2258 cae341e6c5 [Backend] Add fp16 support for ONNXRuntime-GPU (#1239)
* add fp16 support for ort-gpu

* add enable_ort_fp16 option

* fix

* fix bugs

* use fp16 for test

* update code

* update code

* fix windows bug
2023-03-23 18:23:13 +08:00

61 lines
2.0 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"
namespace fastdeploy {
namespace vision {
namespace facedet {
class FASTDEPLOY_DECL CenterFacePreprocessor{
public:
/** \brief Create a preprocessor instance for CenterFace serials model
*/
CenterFacePreprocessor();
/** \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
* \ret
*/
bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs,
std::vector<std::map<std::string, std::array<float, 2>>>* ims_info);
/// Set target size, tuple of (width, height), default size = {640, 640}
void SetSize(const std::vector<int>& size) { size_ = size; }
/// Get target size, tuple of (width, height), default size = {640, 640}
std::vector<int> GetSize() const { return size_; }
protected:
bool Preprocess(FDMat * mat, FDTensor* output,
std::map<std::string, std::array<float, 2>>* im_info);
// target size, tuple of (width, height), default size = {640, 640}
std::vector<int> size_;
};
} // namespace facedet
} // namespace vision
} // namespace fastdeploy