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			46 lines
		
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			46 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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| 
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| #pragma once
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| #include <map>
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| #include <string>
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| #include <vector>
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| 
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| namespace fastdeploy {
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| namespace backend {
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| struct MultiClassNMS {
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|   int64_t background_label = -1;
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|   int64_t keep_top_k = -1;
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|   float nms_eta;
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|   float nms_threshold = 0.7;
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|   int64_t nms_top_k;
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|   bool normalized;
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|   float score_threshold;
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| 
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|   std::vector<int32_t> out_num_rois_data;
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|   std::vector<int32_t> out_index_data;
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|   std::vector<float> out_box_data;
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|   void FastNMS(const float* boxes, const float* scores, const int& num_boxes,
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|                std::vector<int>* keep_indices);
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|   int NMSForEachSample(const float* boxes, const float* scores, int num_boxes,
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|                        int num_classes,
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|                        std::map<int, std::vector<int>>* keep_indices);
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|   void Compute(const float* boxes, const float* scores,
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|                const std::vector<int64_t>& boxes_dim,
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|                const std::vector<int64_t>& scores_dim);
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| };
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| }  // namespace backend
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| 
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| }  // namespace fastdeploy
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