78 lines
2.0 KiB
C++
78 lines
2.0 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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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*/
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#ifndef TENSORRT_SAMPLE_COMMON_UTILS_H
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#define TENSORRT_SAMPLE_COMMON_UTILS_H
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#include <memory>
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#include <string>
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#include <vector>
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#include "NvInfer.h"
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namespace util
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{
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size_t getMemorySize(const nvinfer1::Dims& dims, const int32_t elem_size);
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struct PPM
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{
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std::string filename;
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std::string magic;
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int c;
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int h;
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int w;
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int max;
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std::vector<uint8_t> buffer;
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};
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class ImageBase
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{
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public:
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ImageBase(const std::string& filename, const nvinfer1::Dims& dims);
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virtual ~ImageBase() {}
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virtual size_t volume() const;
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void read();
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void write();
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protected:
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nvinfer1::Dims mDims;
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PPM mPPM;
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};
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class RGBImageReader : public ImageBase
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{
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public:
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RGBImageReader(const std::string& filename, const nvinfer1::Dims& dims, const std::vector<float>& mean, const std::vector<float>& std);
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std::unique_ptr<float> process() const;
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private:
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std::vector<float> mMean;
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std::vector<float> mStd;
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};
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class ArgmaxImageWriter : public ImageBase
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{
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public:
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ArgmaxImageWriter(const std::string& filename, const nvinfer1::Dims& dims, const std::vector<int>& palette, const int num_classes);
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void process(const int* buffer);
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private:
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int mNumClasses;
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std::vector<int> mPalette;
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};
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}; // namespace util
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#endif // TENSORRT_SAMPLE_COMMON_UTILS_H
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