mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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91a1c72f98
* 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
114 lines
3.2 KiB
C++
114 lines
3.2 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/utils/utils.h"
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#include "fastdeploy/vision/common/processors/mat.h"
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#include "fastdeploy/vision/common/processors/mat_batch.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.
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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(FDMat* 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 ImplByOpenCV(FDMatBatch* mat_batch) {
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for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
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if (ImplByOpenCV(&(*(mat_batch->mats))[i]) != true) {
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return false;
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}
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}
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return true;
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}
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virtual bool ImplByFlyCV(FDMat* mat) {
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return ImplByOpenCV(mat);
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}
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virtual bool ImplByFlyCV(FDMatBatch* mat_batch) {
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for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
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if (ImplByFlyCV(&(*(mat_batch->mats))[i]) != true) {
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return false;
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}
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}
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return true;
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}
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virtual bool ImplByCuda(FDMat* mat) {
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return ImplByOpenCV(mat);
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}
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virtual bool ImplByCuda(FDMatBatch* mat_batch) {
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for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
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if (ImplByCuda(&(*(mat_batch->mats))[i]) != true) {
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return false;
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}
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}
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return true;
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}
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virtual bool ImplByCvCuda(FDMat* mat) {
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return ImplByOpenCV(mat);
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}
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virtual bool ImplByCvCuda(FDMatBatch* mat_batch) {
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for (size_t i = 0; i < mat_batch->mats->size(); ++i) {
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if (ImplByCvCuda(&(*(mat_batch->mats))[i]) != true) {
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return false;
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}
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}
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return true;
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}
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virtual bool operator()(FDMat* mat);
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// This function is for backward compatibility, will be removed in the near
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// future, please use operator()(FDMat* mat) instead and set proc_lib in mat.
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virtual bool operator()(FDMat* mat, ProcLib lib);
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virtual bool operator()(FDMatBatch* mat_batch);
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};
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} // namespace vision
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} // namespace fastdeploy
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