/* * Copyright 2011-2021 Blender Foundation * * 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. */ #pragma once CCL_NAMESPACE_BEGIN class AdaptiveSampling { public: AdaptiveSampling(); /* Align number of samples so that they align with the adaptive filtering. * * Returns the new value for the `num_samples` so that after rendering so many samples on top * of `start_sample` filtering is required. * * The alignment happens in a way that allows to render as many samples as possible without * missing any filtering point. This means that the result is "clamped" by the nearest sample * at which filtering is needed. This is part of mechanism which ensures that all devices will * perform same exact filtering and adaptive sampling, regardless of their performance. * * `start_sample` is the 0-based index of sample. * * NOTE: The start sample is included into the number of samples to render. This means that * if the number of samples is 1, then the path tracer will render samples [align_samples], * if the number of samples is 2, then the path tracer will render samples [align_samples, * align_samples + 1] and so on. */ int align_samples(int start_sample, int num_samples) const; /* Check whether adaptive sampling filter should happen at this sample. * Returns false if the adaptive sampling is not use. * * `sample` is the 0-based index of sample. */ bool need_filter(int sample) const; bool use = false; int adaptive_step = 0; int min_samples = 0; float threshold = 0.0f; }; CCL_NAMESPACE_END