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23dfcac891
* 更新ppdet * 更新ppdet * 更新ppdet * 更新ppdet * 更新ppdet * 新增ppdet_decode * 更新多batch支持 * 更新多batch支持 * 更新多batch支持 * 更新注释内容 * 尝试解决pybind问题 * 尝试解决pybind的问题 * 尝试解决pybind的问题 * 重构代码 * 重构代码 * 重构代码 * 按照要求修改 * 修复部分bug 加入pybind * 修复pybind * 修复pybind错误的问题
51 lines
2.0 KiB
C++
51 lines
2.0 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 "fastdeploy/vision/common/processors/transform.h"
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#include "fastdeploy/vision/common/result.h"
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#include "fastdeploy/vision/detection/ppdet/multiclass_nms.h"
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namespace fastdeploy {
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namespace vision {
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namespace detection {
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class FASTDEPLOY_DECL PPDetDecode {
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public:
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PPDetDecode() = default;
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explicit PPDetDecode(const std::string& config_file);
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bool DecodeAndNMS(const std::vector<FDTensor>& tensors,
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std::vector<DetectionResult>* results);
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void SetNMSOption(const NMSOption& option = NMSOption()) {
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multi_class_nms_.SetNMSOption(option);
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}
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private:
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std::string config_file_;
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std::string arch_;
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std::vector<int> fpn_stride_{8, 16, 32, 64};
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std::vector<float> im_shape_{416, 416};
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int batchs_ = 1;
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bool ReadPostprocessConfigFromYaml();
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void DisPred2Bbox(const float*& dfl_det, int label, float score, int x, int y,
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int stride, fastdeploy::vision::DetectionResult* results,
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int reg_max, int num_class);
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bool PicoDetPostProcess(const std::vector<FDTensor>& outs,
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std::vector<DetectionResult>* results, int reg_max,
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int num_class);
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int ActivationFunctionSoftmax(const float* src, float* dst, int reg_max);
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PaddleMultiClassNMS multi_class_nms_;
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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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