mirror of https://github.com/alibaba/MNN.git
				
				
				
			
		
			
				
	
	
		
			38 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			38 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			C++
		
	
	
	
| //
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| //  ShapeDetectionOutput.cpp
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| //  MNN
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| //
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| //  Created by MNN on 2019/01/10.
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| //  Copyright © 2018, Alibaba Group Holding Limited
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| //
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| 
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| #include "Macro.h"
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| #include "SizeComputer.hpp"
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| namespace MNN {
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| 
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| // –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
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| // Size Computer
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| // –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
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| class DetectionOutputComputer : public SizeComputer {
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|     virtual bool onComputeSize(const MNN::Op *op, const std::vector<Tensor *> &inputs,
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|                                const std::vector<Tensor *> &outputs) const override {
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|         MNN_ASSERT(3 <= inputs.size());
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|         MNN_ASSERT(1 == outputs.size());
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| 
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|         // set dims
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|         auto &priorbox  = inputs[2]->buffer();
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|         auto &output    = outputs[0]->buffer();
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|         auto priorCount = priorbox.dim[2].extent / 4;
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| 
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|         output.dim[0].extent = 1;
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|         output.dim[1].extent = 1;
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|         output.dim[2].extent = priorCount;
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|         output.dim[3].extent = 6; // maximum width
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| 
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|         return true;
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|     }
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| };
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| 
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| REGISTER_SHAPE(DetectionOutputComputer, OpType_DetectionOutput);
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| } // namespace MNN
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