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			53 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			53 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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| 
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| #pragma once
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| #include "fastdeploy/vision/detection/ppdet/ppyoloe.h"
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| 
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| namespace fastdeploy {
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| namespace vision {
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| namespace detection {
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| 
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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 ModelFormat& model_format = ModelFormat::PADDLE);
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| 
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|   virtual std::string ModelName() const { return "PaddleDetection/PPYOLO"; }
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| 
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|   virtual bool Preprocess(Mat* mat, std::vector<FDTensor>* outputs);
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|   virtual bool Initialize();
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| 
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|  protected:
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|   PPYOLO() {}
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| };
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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 ModelFormat& model_format = ModelFormat::PADDLE)
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|       : PPYOLO(model_file, params_file, config_file, custom_option,
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|                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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| 
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| }  // namespace detection
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| }  // namespace vision
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| }  // namespace fastdeploy
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