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