57 lines
2.1 KiB
C++
57 lines
2.1 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 "paddle/common/hostdevice.h"
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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HOSTDEVICE static inline int64_t CeilDivide(int64_t n, int64_t m) {
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return (n + m - 1) / m;
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}
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template <typename T>
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HOSTDEVICE inline bool CalculateIoU(const T* const box_1,
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const T* const box_2,
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const float threshold) {
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auto box_1_x0 = box_1[0], box_1_y0 = box_1[1];
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auto box_1_x1 = box_1[2], box_1_y1 = box_1[3];
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auto box_2_x0 = box_2[0], box_2_y0 = box_2[1];
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auto box_2_x1 = box_2[2], box_2_y1 = box_2[3];
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auto inter_box_x0 = box_1_x0 > box_2_x0 ? box_1_x0 : box_2_x0;
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auto inter_box_y0 = box_1_y0 > box_2_y0 ? box_1_y0 : box_2_y0;
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auto inter_box_x1 = box_1_x1 < box_2_x1 ? box_1_x1 : box_2_x1;
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auto inter_box_y1 = box_1_y1 < box_2_y1 ? box_1_y1 : box_2_y1;
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auto inter_width =
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inter_box_x1 - inter_box_x0 > 0 ? inter_box_x1 - inter_box_x0 : 0;
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auto inter_height =
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inter_box_y1 - inter_box_y0 > 0 ? inter_box_y1 - inter_box_y0 : 0;
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auto inter_area = inter_width * inter_height;
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auto union_area = (box_1_x1 - box_1_x0) * (box_1_y1 - box_1_y0) +
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(box_2_x1 - box_2_x0) * (box_2_y1 - box_2_y0) - inter_area;
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return inter_area / union_area > threshold;
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}
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template <typename T, typename Context>
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void NMSKernel(const Context& dev_ctx,
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const DenseTensor& boxes,
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float threshold,
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DenseTensor* output);
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} // namespace phi
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