| // 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 | |
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| // | |
| // * 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" | |
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| // | |
| // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de) | |
| namespace colmap { | |
| // Random sampler for RANSAC-based methods. | |
| // | |
| // Note that a separate sampler should be instantiated per thread. | |
| class RandomSampler : public Sampler { | |
| public: | |
| explicit RandomSampler(const size_t num_samples); | |
| void Initialize(const size_t total_num_samples) override; | |
| size_t MaxNumSamples() override; | |
| std::vector<size_t> Sample() override; | |
| private: | |
| const size_t num_samples_; | |
| std::vector<size_t> sample_idxs_; | |
| }; | |
| } // namespace colmap | |