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
45 lines
1.3 KiB
C++
45 lines
1.3 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/vision/common/processors/base.h"
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namespace fastdeploy {
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namespace vision {
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class FASTDEPLOY_DECL LimitByStride : public Processor {
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public:
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explicit LimitByStride(int stride = 32, int interp = 1) {
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stride_ = stride;
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interp_ = interp;
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}
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// Resize Mat* mat to make the size divisible by stride_.
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bool ImplByOpenCV(Mat* mat);
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#ifdef ENABLE_FLYCV
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bool ImplByFlyCV(Mat* mat);
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#endif
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std::string Name() { return "LimitByStride"; }
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static bool Run(Mat* mat, int stride = 32, int interp = 1,
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ProcLib lib = ProcLib::DEFAULT);
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private:
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int interp_;
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int stride_;
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};
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} // namespace vision
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} // namespace fastdeploy
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