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* cuda normalize and permute, cuda concat * add use cuda option for preprocessor * ppyoloe use cuda normalize * ppseg use cuda normalize * add proclib cuda in processor base * ppcls add use cuda preprocess api * ppcls preprocessor set gpu id * fix pybind * refine ppcls preprocessing use gpu logic * fdtensor device id is -1 by default * refine assert message Co-authored-by: heliqi <1101791222@qq.com>
77 lines
2.3 KiB
C++
77 lines
2.3 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/utils/utils.h"
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#include "fastdeploy/vision/common/processors/mat.h"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include <unordered_map>
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namespace fastdeploy {
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namespace vision {
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/*! @brief Enable using FlyCV to process image while deploy vision models.
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* Currently, FlyCV in only available on ARM(Linux aarch64/Android), so will
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* fallback to using OpenCV in other platform
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*/
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FASTDEPLOY_DECL void EnableFlyCV();
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/// Disable using FlyCV to process image while deploy vision models.
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FASTDEPLOY_DECL void DisableFlyCV();
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/*! @brief Set the cpu num threads of ProcLib. The cpu num threads
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* of FlyCV and OpenCV is 2 by default.
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*/
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FASTDEPLOY_DECL void SetProcLibCpuNumThreads(int threads);
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class FASTDEPLOY_DECL Processor {
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public:
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// default_lib has the highest priority
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// all the function in `processor` will force to use
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// default_lib if this flag is set.
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// DEFAULT means this flag is not set
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// static ProcLib default_lib;
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virtual std::string Name() = 0;
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virtual bool ImplByOpenCV(Mat* mat) {
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FDERROR << Name() << " Not Implement Yet." << std::endl;
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return false;
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}
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virtual bool ImplByFlyCV(Mat* mat) {
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return ImplByOpenCV(mat);
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}
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virtual bool ImplByCuda(Mat* mat) {
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return ImplByOpenCV(mat);
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}
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virtual bool operator()(Mat* mat, ProcLib lib = ProcLib::DEFAULT);
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protected:
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FDTensor* UpdateAndGetReusedBuffer(
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const std::vector<int64_t>& new_shape, const int& opencv_dtype,
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const std::string& buffer_name, const Device& new_device = Device::CPU,
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const bool& use_pinned_memory = false);
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private:
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std::unordered_map<std::string, FDTensor> reused_buffers_;
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};
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} // namespace vision
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} // namespace fastdeploy
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