Files
FastDeploy/fastdeploy/vision/common/processors/resize.h
Wang Xinyu d3d914856d [CVCUDA] Utilize CV-CUDA batch processing function (#1223)
* norm and permute batch processing

* move cache to mat, batch processors

* get batched tensor logic, resize on cpu logic

* fix cpu compile error

* remove vector mat api

* nits

* add comments

* nits

* fix batch size

* move initial resize on cpu option to use_cuda api

* fix pybind

* processor manager pybind

* rename mat and matbatch

* move initial resize on cpu to ppcls preprocessor

---------

Co-authored-by: Jason <jiangjiajun@baidu.com>
2023-02-07 13:44:30 +08:00

67 lines
1.8 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/base.h"
namespace fastdeploy {
namespace vision {
class FASTDEPLOY_DECL Resize : public Processor {
public:
Resize(int width, int height, float scale_w = -1.0, float scale_h = -1.0,
int interp = 1, bool use_scale = false) {
width_ = width;
height_ = height;
scale_w_ = scale_w;
scale_h_ = scale_h;
interp_ = interp;
use_scale_ = use_scale;
}
bool ImplByOpenCV(FDMat* mat);
#ifdef ENABLE_FLYCV
bool ImplByFlyCV(FDMat* mat);
#endif
#ifdef ENABLE_CVCUDA
bool ImplByCvCuda(FDMat* mat);
#endif
std::string Name() { return "Resize"; }
static bool Run(FDMat* mat, int width, int height, float scale_w = -1.0,
float scale_h = -1.0, int interp = 1, bool use_scale = false,
ProcLib lib = ProcLib::DEFAULT);
bool SetWidthAndHeight(int width, int height) {
width_ = width;
height_ = height;
return true;
}
std::tuple<int, int> GetWidthAndHeight() {
return std::make_tuple(width_, height_);
}
private:
int width_;
int height_;
float scale_w_ = -1.0;
float scale_h_ = -1.0;
int interp_ = 1;
bool use_scale_ = false;
};
} // namespace vision
} // namespace fastdeploy