mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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a36d49a973
* [Backend] fix lite backend save model error * [Backend] fixed typos * [FlyCV] optimize the integration of FlyCV * [cmake] close some tests options * [cmake] close some test option * [FlyCV] remove un-need warnings * [FlyCV] remove un-need GetMat method * [FlyCV] optimize FlyCV codes * [cmake] remove un-need cmake function in examples/CMakelists * [cmake] support gflags for Android
126 lines
4.2 KiB
C++
126 lines
4.2 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/vision/common/processors/cast.h"
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#include "fastdeploy/vision/common/processors/center_crop.h"
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#include "fastdeploy/vision/common/processors/color_space_convert.h"
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#include "fastdeploy/vision/common/processors/convert.h"
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#include "fastdeploy/vision/common/processors/crop.h"
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#include "fastdeploy/vision/common/processors/hwc2chw.h"
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#include "fastdeploy/vision/common/processors/letter_box.h"
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#include "fastdeploy/vision/common/processors/limit_by_stride.h"
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#include "fastdeploy/vision/common/processors/limit_long.h"
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#include "fastdeploy/vision/common/processors/limit_short.h"
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#include "fastdeploy/vision/common/processors/normalize.h"
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#include "fastdeploy/vision/common/processors/normalize_and_permute.h"
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#include "fastdeploy/vision/common/processors/pad.h"
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#include "fastdeploy/vision/common/processors/pad_to_size.h"
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#include "fastdeploy/vision/common/processors/resize.h"
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#include "fastdeploy/vision/common/processors/resize_by_long.h"
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#include "fastdeploy/vision/common/processors/resize_by_short.h"
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#include "fastdeploy/vision/common/processors/stride_pad.h"
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#include "fastdeploy/vision/common/processors/warp_affine.h"
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namespace fastdeploy {
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namespace vision {
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inline void FuseNormalizeCast(
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std::vector<std::shared_ptr<Processor>>* processors) {
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// Fuse Normalize and Cast<Float>
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int cast_index = -1;
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for (size_t i = 0; i < processors->size(); ++i) {
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if ((*processors)[i]->Name() == "Cast") {
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if (i == 0) {
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continue;
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}
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if ((*processors)[i - 1]->Name() != "Normalize" &&
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(*processors)[i - 1]->Name() != "NormalizeAndPermute") {
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continue;
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}
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cast_index = i;
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}
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}
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if (cast_index < 0) {
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return;
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}
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if (dynamic_cast<Cast*>((*processors)[cast_index].get())->GetDtype() !=
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"float") {
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return;
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}
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processors->erase(processors->begin() + cast_index);
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FDINFO << (*processors)[cast_index - 1]->Name() << " and Cast are fused to "
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<< (*processors)[cast_index - 1]->Name()
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<< " in preprocessing pipeline." << std::endl;
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}
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inline void FuseNormalizeHWC2CHW(
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std::vector<std::shared_ptr<Processor>>* processors) {
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// Fuse Normalize and HWC2CHW to NormalizeAndPermute
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int hwc2chw_index = -1;
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for (size_t i = 0; i < processors->size(); ++i) {
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if ((*processors)[i]->Name() == "HWC2CHW") {
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if (i == 0) {
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continue;
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}
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if ((*processors)[i - 1]->Name() != "Normalize") {
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continue;
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}
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hwc2chw_index = i;
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}
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}
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if (hwc2chw_index < 0) {
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return;
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}
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// Get alpha and beta of Normalize
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std::vector<float> alpha =
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dynamic_cast<Normalize*>((*processors)[hwc2chw_index - 1].get())
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->GetAlpha();
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std::vector<float> beta =
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dynamic_cast<Normalize*>((*processors)[hwc2chw_index - 1].get())
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->GetBeta();
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// Delete Normalize and HWC2CHW
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processors->erase(processors->begin() + hwc2chw_index);
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processors->erase(processors->begin() + hwc2chw_index - 1);
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// Add NormalizeAndPermute
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std::vector<float> mean({0.0, 0.0, 0.0});
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std::vector<float> std({1.0, 1.0, 1.0});
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processors->push_back(std::make_shared<NormalizeAndPermute>(mean, std));
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// Set alpha and beta
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auto processor = dynamic_cast<NormalizeAndPermute*>(
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(*processors)[hwc2chw_index - 1].get());
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processor->SetAlpha(alpha);
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processor->SetBeta(beta);
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FDINFO << "Normalize and HWC2CHW are fused to NormalizeAndPermute "
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" in preprocessing pipeline."
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<< std::endl;
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}
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inline void FuseTransforms(
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std::vector<std::shared_ptr<Processor>>* processors) {
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FuseNormalizeCast(processors);
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FuseNormalizeHWC2CHW(processors);
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}
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} // namespace vision
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} // namespace fastdeploy
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