// Copyright (c) 2022, ETH Zurich and UNC Chapel Hill. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // // * Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // // * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of // its contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE // POSSIBILITY OF SUCH DAMAGE. // // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de) #include "optim/random_sampler.h" #include #include "util/random.h" namespace colmap { RandomSampler::RandomSampler(const size_t num_samples) : num_samples_(num_samples) {} void RandomSampler::Initialize(const size_t total_num_samples) { CHECK_LE(num_samples_, total_num_samples); sample_idxs_.resize(total_num_samples); std::iota(sample_idxs_.begin(), sample_idxs_.end(), 0); } size_t RandomSampler::MaxNumSamples() { return std::numeric_limits::max(); } std::vector RandomSampler::Sample() { Shuffle(static_cast(num_samples_), &sample_idxs_); std::vector sampled_idxs(num_samples_); for (size_t i = 0; i < num_samples_; ++i) { sampled_idxs[i] = sample_idxs_[i]; } return sampled_idxs; } } // namespace colmap