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https://github.com/PaddlePaddle/FastDeploy.git
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52 lines
1.8 KiB
C++
52 lines
1.8 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/detection/ppdet/ppyoloe.h"
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namespace fastdeploy {
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namespace vision {
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namespace detection {
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class FASTDEPLOY_DECL PPYOLO : public PPYOLOE {
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public:
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PPYOLO(const std::string& model_file, const std::string& params_file,
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const std::string& config_file,
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const RuntimeOption& custom_option = RuntimeOption(),
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const Frontend& model_format = Frontend::PADDLE);
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virtual std::string ModelName() const { return "PaddleDetection/PPYOLO"; }
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virtual bool Preprocess(Mat* mat, std::vector<FDTensor>* outputs);
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virtual bool Initialize();
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protected:
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PPYOLO() {}
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};
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class FASTDEPLOY_DECL PPYOLOv2 : public PPYOLO {
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public:
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PPYOLOv2(const std::string& model_file, const std::string& params_file,
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const std::string& config_file,
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const RuntimeOption& custom_option = RuntimeOption(),
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const Frontend& model_format = Frontend::PADDLE) : PPYOLO(model_file, params_file, config_file, custom_option, model_format) {
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}
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virtual std::string ModelName() const { return "PaddleDetection/PPYOLOv2"; }
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};
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} // namespace detection
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} // namespace vision
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} // namespace fastdeploy
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