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FastDeploy/fastdeploy/vision/common/processors/mat.h
guxukai 4d57b62f83 [Doc] add vision processors cpp api doc (#1624)
* add vision processors cpp api doc

* add base class Processor in api doc

* Update base.h

---------

Co-authored-by: Wang Xinyu <shaywxy@gmail.com>
2023-03-17 13:20:38 +08:00

175 lines
5.2 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/proc_lib.h"
#include "opencv2/core/core.hpp"
#ifdef ENABLE_FLYCV
#include "flycv.h" // NOLINT
#endif
#ifdef WITH_GPU
#include <cuda_runtime_api.h>
#endif
namespace fastdeploy {
namespace vision {
enum Layout { HWC, CHW };
/*! @brief FDMat is a structure for replace cv::Mat
*/
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;
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();
#endif
void* Data();
// Get fd_tensor
FDTensor* Tensor();
// Set fd_tensor
void SetTensor(FDTensor* tensor);
void SetTensor(std::shared_ptr<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.
std::shared_ptr<FDTensor> fd_tensor = std::make_shared<FDTensor>();
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; }
// When using CV-CUDA/CUDA, please set input/output cache,
// refer to manager.cc
FDTensor* input_cache = nullptr;
FDTensor* output_cache = nullptr;
#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;
ProcLib proc_lib = ProcLib::DEFAULT;
// 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);
bool CheckShapeConsistency(std::vector<Mat>* mats);
// Create an input tensor on GPU and save into input_cache.
// If the Mat is on GPU, return the mat->Tensor() directly.
// If the Mat is on CPU, then update the input cache tensor and copy the mat's
// CPU tensor to this new GPU input cache tensor.
FDTensor* CreateCachedGpuInputTensor(Mat* mat);
} // namespace vision
} // namespace fastdeploy