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* update .gitignore * Added checking for cmake include dir * fixed missing trt_backend option bug when init from trt * remove un-need data layout and add pre-check for dtype * changed RGB2BRG to BGR2RGB in ppcls model * add model_zoo yolov6 c++/python demo * fixed CMakeLists.txt typos * update yolov6 cpp/README.md * add yolox c++/pybind and model_zoo demo * move some helpers to private * fixed CMakeLists.txt typos * add normalize with alpha and beta * add version notes for yolov5/yolov6/yolox * add copyright to yolov5.cc * revert normalize * fixed some bugs in yolox * fixed examples/CMakeLists.txt to avoid conflicts * add convert processor to vision * format examples/CMakeLists summary
43 lines
1.4 KiB
C++
43 lines
1.4 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 Convert : public Processor {
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public:
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Convert(const std::vector<float>& alpha, const std::vector<float>& beta);
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bool CpuRun(Mat* mat);
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#ifdef ENABLE_OPENCV_CUDA
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bool GpuRun(Mat* mat);
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#endif
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std::string Name() { return "Convert"; }
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// Compute `result = mat * alpha + beta` directly by channel.
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// The default behavior is the same as OpenCV's convertTo method.
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static bool Run(Mat* mat, const std::vector<float>& alpha,
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const std::vector<float>& beta,
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ProcLib lib = ProcLib::OPENCV_CPU);
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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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