Files
FastDeploy/fastdeploy/vision/common/processors/mat.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

170 lines
5.0 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/core/fd_tensor.h"
#include "fastdeploy/vision/common/processors/utils.h"
#include "fastdeploy/vision/common/processors/proc_lib.h"
#include "opencv2/core/core.hpp"
#ifdef WITH_GPU
#include <cuda_runtime_api.h>
#endif
namespace fastdeploy {
namespace vision {
enum Layout { HWC, CHW };
struct FASTDEPLOY_DECL Mat {
Mat() = default;
explicit Mat(const cv::Mat& mat) {
cpu_mat = mat;
layout = Layout::HWC;
height = cpu_mat.rows;
width = cpu_mat.cols;
channels = cpu_mat.channels();
mat_type = ProcLib::OPENCV;
}
#ifdef ENABLE_FLYCV
explicit Mat(const fcv::Mat& mat) {
fcv_mat = mat;
layout = Layout::HWC;
height = fcv_mat.height();
width = fcv_mat.width();
channels = fcv_mat.channels();
mat_type = ProcLib::FLYCV;
}
#endif
Mat(const Mat& mat) = default;
// Move assignment
Mat& operator=(const Mat& mat) = default;
// Move constructor
Mat(Mat&& other) = default;
// Careful if you use this interface
// this only used if you don't want to write
// the original data, and write to a new cv::Mat
// then replace the old cv::Mat of this structure
void SetMat(const cv::Mat& mat) {
cpu_mat = mat;
mat_type = ProcLib::OPENCV;
}
cv::Mat* GetOpenCVMat();
#ifdef ENABLE_FLYCV
void SetMat(const fcv::Mat& mat) {
fcv_mat = mat;
mat_type = ProcLib::FLYCV;
}
fcv::Mat* GetFlyCVMat() {
if (mat_type == ProcLib::FLYCV) {
return &fcv_mat;
} else if (mat_type == ProcLib::OPENCV) {
// Just a reference to cpu_mat, zero copy. After you
// call this method, fcv_mat and cpu_mat will point
// to the same memory buffer.
fcv_mat = ConvertOpenCVMatToFlyCV(cpu_mat);
mat_type = ProcLib::FLYCV;
return &fcv_mat;
} else {
FDASSERT(false, "The mat_type of custom Mat can not be ProcLib::DEFAULT");
}
}
#endif
void* Data();
// Get fd_tensor
FDTensor* Tensor();
// Set fd_tensor
void SetTensor(FDTensor* tensor);
private:
int channels;
int height;
int width;
cv::Mat cpu_mat;
#ifdef ENABLE_FLYCV
fcv::Mat fcv_mat;
#endif
#ifdef WITH_GPU
cudaStream_t stream = nullptr;
#endif
// Currently, fd_tensor is only used by CUDA and CV-CUDA,
// OpenCV and FlyCV are not using it.
FDTensor fd_tensor;
public:
FDDataType Type();
int Channels() const { return channels; }
int Width() const { return width; }
int Height() const { return height; }
void SetChannels(int s) { channels = s; }
void SetWidth(int w) { width = w; }
void SetHeight(int h) { height = h; }
#ifdef WITH_GPU
cudaStream_t Stream() const { return stream; }
void SetStream(cudaStream_t s) { stream = s; }
#endif
// Transfer the vision::Mat to FDTensor
void ShareWithTensor(FDTensor* tensor);
// Only support copy to cpu tensor now
bool CopyToTensor(FDTensor* tensor);
// Debug functions
// TODO(jiangjiajun) Develop a right process pipeline with c++
// is not a easy things, Will add more debug function here to
// help debug processed image. This function will print shape
// and mean of each channels of the Mat
void PrintInfo(const std::string& flag);
ProcLib mat_type = ProcLib::OPENCV;
Layout layout = Layout::HWC;
Device device = Device::CPU;
// Create FD Mat from FD Tensor. This method only create a
// new FD Mat with zero copy and it's data pointer is reference
// to the original memory buffer of input FD Tensor. Carefully,
// any operation on this Mat may change memory that points to
// FDTensor. We assume that the memory Mat points to is mutable.
// This method will create a FD Mat according to current global
// default ProcLib (OPENCV,FLYCV,...).
static Mat Create(const FDTensor& tensor);
static Mat Create(const FDTensor& tensor, ProcLib lib);
static Mat Create(int height, int width, int channels,
FDDataType type, void* data);
static Mat Create(int height, int width, int channels,
FDDataType type, void* data, ProcLib lib);
};
typedef Mat FDMat;
/*
* @brief Wrap a cv::Mat to FDMat, there's no memory copy, memory buffer is managed by user
*/
FASTDEPLOY_DECL FDMat WrapMat(const cv::Mat& image);
/*
* Warp a vector<cv::Mat> to vector<FDMat>, there's no memory copy, memory buffer is managed by user
*/
FASTDEPLOY_DECL std::vector<FDMat> WrapMat(const std::vector<cv::Mat>& images);
} // namespace vision
} // namespace fastdeploy