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https://github.com/PaddlePaddle/FastDeploy.git
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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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#pragma once
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#include <map>
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#include <string>
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#include <vector>
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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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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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} // namespace fastdeploy
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