/* * 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 #include #include #include #include #include #include #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()) * 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(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(mPPM.buffer.data()), volume()); outfile.close(); } RGBImageReader::RGBImageReader(const std::string& filename, const nvinfer1::Dims& dims, const std::vector& mean, const std::vector& std) : ImageBase(filename, dims) , mMean(mean) , mStd(std) { } std::unique_ptr 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{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(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& 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> colors; for (auto i = 0, max = mPPM.max; i < mNumClasses; i++) { std::vector 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(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