mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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5be839b322
* add xpu support * fix docs * update code * update doc * update code * update yolov5 * update cmake * add int64_t data support * fix * update download links * add en doc * update code * update xpu options * update doc * update doc * update doc * update lib links * update doc * update code * update lite xpu link * update xpu lib * update doc * update en doc
35 lines
1.3 KiB
C++
35 lines
1.3 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. //NOLINT
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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 <stdint.h>
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#include <cmath>
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#include <vector>
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namespace fastdeploy {
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namespace vision {
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namespace detection {
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float Clamp(float val, int min, int max);
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float Sigmoid(float x);
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float UnSigmoid(float y);
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inline static int32_t __clip(float val, float min, float max);
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int8_t QntF32ToAffine(float f32, int32_t zp, float scale);
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float DeqntAffineToF32(int8_t qnt, int32_t zp, float scale);
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int NMS(int valid_count, std::vector<float>& output_locations,
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std::vector<int>& class_id, std::vector<int>& order, float threshold,
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bool class_agnostic);
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} // namespace detection
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} // namespace vision
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} // namespace fastdeploy
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