Files
FastDeploy/fastdeploy/vision/common/processors/normalize.h
Jason bb00e0757e [Model] Integrate FlyCV image processing library (#375)
* Add falcon cmake

* Update CMakeLists.txt

* Add implementation for more preprocessors

* Add more implementation

* Add more implementations by flycv

* Fix some name

* fix some bug

* ready to test

* add fuse

* fix fuse problem

* add debug code

* add debug

* [Android] integrate flycv to Android (#459)

* [Android] integrate flycv into Andorid

* Falconcv (#27)

* [Bug Fix ]Update ppseg visualize python api && demo (#454)

Update ppseg visualize python api && demo

* [Model] update pptracking letterboxresize and add some comment (#438)

* add override mark

* delete some

* recovery

* recovery

* add tracking

* add tracking py_bind and example

* add pptracking

* add pptracking

* iomanip head file

* add opencv_video lib

* add python libs package

Signed-off-by: ChaoII <849453582@qq.com>

* complete comments

Signed-off-by: ChaoII <849453582@qq.com>

* add jdeTracker_ member variable

Signed-off-by: ChaoII <849453582@qq.com>

* add 'FASTDEPLOY_DECL' macro

Signed-off-by: ChaoII <849453582@qq.com>

* remove kwargs params

Signed-off-by: ChaoII <849453582@qq.com>

* [Doc]update pptracking docs

* delete 'ENABLE_PADDLE_FRONTEND' switch

* add pptracking unit test

* update pptracking unit test

Signed-off-by: ChaoII <849453582@qq.com>

* modify test video file path and remove trt test

* update unit test model url

* remove 'FASTDEPLOY_DECL' macro

Signed-off-by: ChaoII <849453582@qq.com>

* fix build python packages about pptracking on win32

Signed-off-by: ChaoII <849453582@qq.com>

* update comment

Signed-off-by: ChaoII <849453582@qq.com>

* add pptracking model explain

Signed-off-by: ChaoII <849453582@qq.com>

Signed-off-by: ChaoII <849453582@qq.com>
Co-authored-by: Jason <jiangjiajun@baidu.com>

Signed-off-by: ChaoII <849453582@qq.com>
Co-authored-by: huangjianhui <852142024@qq.com>
Co-authored-by: ChaoII <849453582@qq.com>
Co-authored-by: Jason <jiangjiajun@baidu.com>

* [cmake] optimize examples CMakeLists.txt

Signed-off-by: ChaoII <849453582@qq.com>
Co-authored-by: huangjianhui <852142024@qq.com>
Co-authored-by: ChaoII <849453582@qq.com>
Co-authored-by: Jason <jiangjiajun@baidu.com>

* remove debug log

* remove function

* remove function

Signed-off-by: ChaoII <849453582@qq.com>
Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: huangjianhui <852142024@qq.com>
Co-authored-by: ChaoII <849453582@qq.com>
2022-11-01 10:42:52 +08:00

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// 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/vision/common/processors/base.h"
namespace fastdeploy {
namespace vision {
class FASTDEPLOY_DECL Normalize : public Processor {
public:
Normalize(const std::vector<float>& mean, const std::vector<float>& std,
bool is_scale = true,
const std::vector<float>& min = std::vector<float>(),
const std::vector<float>& max = std::vector<float>());
bool ImplByOpenCV(Mat* mat);
#ifdef ENABLE_FLYCV
bool ImplByFalconCV(Mat* mat);
#endif
std::string Name() { return "Normalize"; }
// While use normalize, it is more recommend not use this function
// this function will need to compute result = ((mat / 255) - mean) / std
// if we use the following method
// ```
// auto norm = Normalize(...)
// norm(mat)
// ```
// There will be some precomputation in contruct function
// and the `norm(mat)` only need to compute result = mat * alpha + beta
// which will reduce lots of time
static bool Run(Mat* mat, const std::vector<float>& mean,
const std::vector<float>& std, bool is_scale = true,
const std::vector<float>& min = std::vector<float>(),
const std::vector<float>& max = std::vector<float>(),
ProcLib lib = ProcLib::OPENCV);
std::vector<float> GetAlpha() const {
return alpha_;
}
std::vector<float> GetBeta() const {
return beta_;
}
private:
std::vector<float> alpha_;
std::vector<float> beta_;
};
} // namespace vision
} // namespace fastdeploy