mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00

* move manager initialized_ flag to ppcls * update dbdetector preprocess api * declare processor op * ppocr detector preprocessor support cvcuda * move cvcuda op to class member * ppcls use manager register api * refactor det preprocessor init api * add set preprocessor api * add create processor macro * new processor call api * ppcls preprocessor init resize on cpu * ppocr detector preprocessor set normalize api * revert ppcls pybind * remove dbdetector set preprocessor * refine dbdetector preprocessor includes * remove mean std in py constructor * add comments * update comment * Update __init__.py
75 lines
2.0 KiB
C++
75 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/base.h"
|
|
#ifdef ENABLE_CVCUDA
|
|
#include <cvcuda/OpResize.hpp>
|
|
|
|
#include "fastdeploy/vision/common/processors/cvcuda_utils.h"
|
|
#endif
|
|
|
|
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;
|
|
#ifdef ENABLE_CVCUDA
|
|
cvcuda::Resize cvcuda_resize_op_;
|
|
#endif
|
|
};
|
|
} // namespace vision
|
|
} // namespace fastdeploy
|