Files
FastDeploy/fastdeploy/vision/common/processors/center_crop.h
Wang Xinyu 62e051e21d [CVCUDA] CMake integration, vison processor CV-CUDA integration, PaddleClas support CV-CUDA (#1074)
* cvcuda resize

* cvcuda center crop

* cvcuda resize

* add a fdtensor in fdmat

* get cv mat and get tensor support gpu

* paddleclas cvcuda preprocessor

* fix compile err

* fix windows compile error

* rename reused to cached

* address comment

* remove debug code

* add comment

* add manager run

* use cuda and cuda used

* use cv cuda doc

* address comment

---------

Co-authored-by: Jason <jiangjiajun@baidu.com>
2023-01-30 09:33:49 +08:00

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1.2 KiB
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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/base.h"
namespace fastdeploy {
namespace vision {
class FASTDEPLOY_DECL CenterCrop : public Processor {
public:
CenterCrop(int width, int height) : height_(height), width_(width) {}
bool ImplByOpenCV(Mat* mat);
#ifdef ENABLE_FLYCV
bool ImplByFlyCV(Mat* mat);
#endif
#ifdef ENABLE_CVCUDA
bool ImplByCvCuda(Mat* mat);
#endif
std::string Name() { return "CenterCrop"; }
static bool Run(Mat* mat, const int& width, const int& height,
ProcLib lib = ProcLib::DEFAULT);
private:
int height_;
int width_;
};
} // namespace vision
} // namespace fastdeploy