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https://github.com/PaddlePaddle/FastDeploy.git
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cb7c8a07d4
* ppdet preproc use manager * pad_to_size chw opencv * pad_to_size chw flycv * fix pad_to_size flycv * add warning message * cvcuda convert cubic to linear, padToSize cvcuda * stridedpad cvcuda * fix flycv include * fix flycv include * fix flycv build * cast cvcuda * fix pybind * fix normalize permute cuda * base processor move funcs to cc * Update pad_to_size.cc
51 lines
1.5 KiB
C++
51 lines
1.5 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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#ifdef ENABLE_CVCUDA
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#include <cvcuda/OpConvertTo.hpp>
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#include "fastdeploy/vision/common/processors/cvcuda_utils.h"
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#endif
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namespace fastdeploy {
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namespace vision {
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class FASTDEPLOY_DECL Cast : public Processor {
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public:
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explicit Cast(const std::string& dtype = "float") : dtype_(dtype) {}
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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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#ifdef ENABLE_CVCUDA
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bool ImplByCvCuda(FDMat* mat);
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#endif
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std::string Name() { return "Cast"; }
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static bool Run(Mat* mat, const std::string& dtype,
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ProcLib lib = ProcLib::DEFAULT);
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std::string GetDtype() const { return dtype_; }
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private:
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std::string dtype_;
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#ifdef ENABLE_CVCUDA
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cvcuda::ConvertTo cvcuda_convert_op_;
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#endif
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};
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} // namespace vision
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} // namespace fastdeploy
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