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nvidia--tensorrt/quickstart/common/util.cpp
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/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* 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.
*/
#include <algorithm>
#include <cassert>
#include <fstream>
#include <iostream>
#include <memory>
#include <numeric>
#include <string>
#include "NvInfer.h"
#include "util.h"
namespace util
{
size_t getMemorySize(const nvinfer1::Dims& dims, const int32_t elem_size)
{
return std::accumulate(dims.d, dims.d + dims.nbDims, 1, std::multiplies<int64_t>()) * elem_size;
}
ImageBase::ImageBase(const std::string& filename, const nvinfer1::Dims& dims)
: mDims(dims)
{
assert(4 == mDims.nbDims);
assert(1 == mDims.d[0]);
mPPM.filename = filename;
}
size_t ImageBase::volume() const
{
return mDims.d[3] /* w */ * mDims.d[2] /* h */ * 3;
}
void ImageBase::read()
{
std::ifstream infile(mPPM.filename, std::ifstream::binary);
if (!infile.is_open())
{
std::cerr << "ERROR: cannot open PPM image file: " << mPPM.filename << std::endl;
}
infile >> mPPM.magic >> mPPM.w >> mPPM.h >> mPPM.max;
infile.seekg(1, infile.cur);
mPPM.buffer.resize(volume());
infile.read(reinterpret_cast<char*>(mPPM.buffer.data()), volume());
infile.close();
}
void ImageBase::write()
{
std::ofstream outfile(mPPM.filename, std::ofstream::binary);
if (!outfile.is_open())
{
std::cerr << "ERROR: cannot open PPM image file: " << mPPM.filename << std::endl;
}
outfile << mPPM.magic << " " << mPPM.w << " " << mPPM.h << " " << mPPM.max << std::endl;
outfile.write(reinterpret_cast<char*>(mPPM.buffer.data()), volume());
outfile.close();
}
RGBImageReader::RGBImageReader(const std::string& filename, const nvinfer1::Dims& dims, const std::vector<float>& mean, const std::vector<float>& std)
: ImageBase(filename, dims)
, mMean(mean)
, mStd(std)
{
}
std::unique_ptr<float> RGBImageReader::process() const
{
const int C = mDims.d[1];
const int H = mDims.d[2];
const int W = mDims.d[3];
auto buffer = std::unique_ptr<float>{new float[volume()]};
if (mPPM.h == H && mPPM.w == W)
{
for (int c = 0; c < C; c++)
{
for (int j = 0, HW = H * W; j < HW; ++j)
{
buffer.get()[c * HW + j] = (static_cast<float>(mPPM.buffer[j * C + c])/mPPM.max - mMean[c]) / mStd[c];
}
}
}
else
{
assert(!"Specified dimensions don't match PPM image");
}
return buffer;
}
ArgmaxImageWriter::ArgmaxImageWriter(const std::string& filename, const nvinfer1::Dims& dims, const std::vector<int>& palette, const int num_classes)
: ImageBase(filename, dims)
, mNumClasses(num_classes)
, mPalette(palette)
{
}
void ArgmaxImageWriter::process(const int* buffer)
{
mPPM.magic = "P6";
mPPM.w = mDims.d[3];
mPPM.h = mDims.d[2];
mPPM.max = 255;
mPPM.buffer.resize(volume());
std::vector<std::vector<int>> colors;
for (auto i = 0, max = mPPM.max; i < mNumClasses; i++)
{
std::vector<int> c{mPalette};
std::transform(c.begin(), c.end(), c.begin(), [i, max](int p){return (p*i) % max;});
colors.push_back(c);
}
for (int j = 0, HW = mPPM.h * mPPM.w; j < HW; ++j)
{
auto clsid{static_cast<uint8_t>(buffer[j])};
mPPM.buffer.data()[j*3] = colors[clsid][0];
mPPM.buffer.data()[j*3+1] = colors[clsid][1];
mPPM.buffer.data()[j*3+2] = colors[clsid][2];
}
}
}; // namespace util