mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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81 lines
2.2 KiB
C++
81 lines
2.2 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/core/fd_tensor.h"
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#include "opencv2/core/core.hpp"
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#ifdef ENABLE_OPENCV_CUDA
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#include "opencv2/core/cuda.hpp"
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#include "opencv2/cudaarithm.hpp"
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#include "opencv2/cudaimgproc.hpp"
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#include "opencv2/cudawarping.hpp"
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#endif
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namespace fastdeploy {
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namespace vision {
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enum Layout { HWC, CHW };
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struct FASTDEPLOY_DECL Mat {
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explicit Mat(cv::Mat& mat) {
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cpu_mat = mat;
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device = Device::CPU;
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layout = Layout::HWC;
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height = cpu_mat.rows;
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width = cpu_mat.cols;
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channels = cpu_mat.channels();
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}
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private:
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int channels;
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int height;
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int width;
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cv::Mat cpu_mat;
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#ifdef ENABLE_OPENCV_CUDA
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cv::cuda::GpuMat gpu_mat;
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#endif
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public:
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#ifdef ENABLE_OPENCV_CUDA
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cv::cuda::GpuMat* GetGpuMat();
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#endif
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cv::Mat* GetCpuMat();
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FDDataType Type();
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int Channels() const { return channels; }
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int Width() const { return width; }
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int Height() const { return height; }
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void SetChannels(int s) { channels = s; }
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void SetWidth(int w) { width = w; }
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void SetHeight(int h) { height = h; }
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// Transfer the vision::Mat to FDTensor
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void ShareWithTensor(FDTensor* tensor);
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// Only support copy to cpu tensor now
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bool CopyToTensor(FDTensor* tensor);
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// debug functions
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// TODO(jiangjiajun) Develop a right process pipeline with c++ is not a easy
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// things
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// Will add more debug function here to help debug processed image
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// This function will print shape / mean of each channels of the Mat
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void PrintInfo(const std::string& flag);
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Layout layout = Layout::HWC;
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Device device = Device::CPU;
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};
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} // namespace vision
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} // namespace fastdeploy
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