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Move cpp code to directory csrcs (#42)

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* move cpp code to csrcs

* move cpp code to csrcs
This commit is contained in:
Jason
2022-07-26 17:59:02 +08:00
committed by GitHub
parent 7fa3afa9de
commit ffbc5cc42d
128 changed files with 1 additions and 1 deletions
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76
fastdeploy/backends/ort/ops/multiclass_nms.h
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// 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.
#pragma once
#include <map>
#include "onnxruntime_cxx_api.h" // NOLINT
namespace fastdeploy {
struct MultiClassNmsKernel {
protected:
int64_t background_label = -1;
int64_t keep_top_k = -1;
float nms_eta;
float nms_threshold = 0.7;
int64_t nms_top_k;
bool normalized;
float score_threshold;
Ort::CustomOpApi ort_;
public:
MultiClassNmsKernel(Ort::CustomOpApi ort, const OrtKernelInfo* info)
: ort_(ort) {
GetAttribute(info);
}
void GetAttribute(const OrtKernelInfo* info);
void Compute(OrtKernelContext* context);
void FastNMS(const float* boxes, const float* scores, const int& num_boxes,
std::vector<int>* keep_indices);
int NMSForEachSample(const float* boxes, const float* scores, int num_boxes,
int num_classes,
std::map<int, std::vector<int>>* keep_indices);
};
struct MultiClassNmsOp
: Ort::CustomOpBase<MultiClassNmsOp, MultiClassNmsKernel> {
void* CreateKernel(Ort::CustomOpApi api, const OrtKernelInfo* info) const {
return new MultiClassNmsKernel(api, info);
}
const char* GetName() const { return "MultiClassNMS"; }
size_t GetInputTypeCount() const { return 2; }
ONNXTensorElementDataType GetInputType(size_t index) const {
return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
}
size_t GetOutputTypeCount() const { return 3; }
ONNXTensorElementDataType GetOutputType(size_t index) const {
if (index == 0) {
return ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT;
}
return ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32;
}
const char* GetExecutionProviderType() const {
return "CPUExecutionProvider";
}
};
} // namespace fastdeploy