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- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2018 THL A29 Limited, a Tencent company. All rights reserved.
- //
- // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- // in compliance with the License. You may obtain a copy of the License at
- //
- // https://opensource.org/licenses/BSD-3-Clause
- //
- // Unless required by applicable law or agreed to in writing, software distributed
- // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
- // CONDITIONS OF ANY KIND, either express or implied. See the License for the
- // specific language governing permissions and limitations under the License.
-
- #ifndef LAYER_YOLODETECTIONOUTPUT_H
- #define LAYER_YOLODETECTIONOUTPUT_H
-
- #include "layer.h"
-
- namespace ncnn {
-
- class YoloDetectionOutput : public Layer
- {
- public:
- YoloDetectionOutput();
-
- virtual int load_param(const ParamDict& pd);
-
- virtual int create_pipeline(const Option& opt);
- virtual int destroy_pipeline(const Option& opt);
-
- virtual int forward_inplace(std::vector<Mat>& bottom_top_blobs, const Option& opt) const;
-
- public:
- int num_class;
- int num_box;
- float confidence_threshold;
- float nms_threshold;
- Mat biases;
-
- ncnn::Layer* softmax;
- };
-
- } // namespace ncnn
-
- #endif // LAYER_YOLODETECTIONOUTPUT_H
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