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Diffstat (limited to 'extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_encoder.h')
-rw-r--r-- | extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_encoder.h | 111 |
1 files changed, 111 insertions, 0 deletions
diff --git a/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_encoder.h b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_encoder.h new file mode 100644 index 00000000000..f00801932c2 --- /dev/null +++ b/extern/draco/draco/src/draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_encoder.h @@ -0,0 +1,111 @@ +// Copyright 2016 The Draco Authors. +// +// 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. +// +#ifndef DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_ENCODER_H_ +#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_ENCODER_H_ + +#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_encoder.h" +#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_shared.h" + +namespace draco { + +// Parallelogram prediction predicts an attribute value V from three vertices +// on the opposite face to the predicted vertex. The values on the three +// vertices are used to construct a parallelogram V' = O - A - B, where O is the +// value on the opposite vertex, and A, B are values on the shared vertices: +// V +// / \ +// / \ +// / \ +// A-------B +// \ / +// \ / +// \ / +// O +// +template <typename DataTypeT, class TransformT, class MeshDataT> +class MeshPredictionSchemeParallelogramEncoder + : public MeshPredictionSchemeEncoder<DataTypeT, TransformT, MeshDataT> { + public: + using CorrType = + typename PredictionSchemeEncoder<DataTypeT, TransformT>::CorrType; + using CornerTable = typename MeshDataT::CornerTable; + explicit MeshPredictionSchemeParallelogramEncoder( + const PointAttribute *attribute) + : MeshPredictionSchemeEncoder<DataTypeT, TransformT, MeshDataT>( + attribute) {} + MeshPredictionSchemeParallelogramEncoder(const PointAttribute *attribute, + const TransformT &transform, + const MeshDataT &mesh_data) + : MeshPredictionSchemeEncoder<DataTypeT, TransformT, MeshDataT>( + attribute, transform, mesh_data) {} + + bool ComputeCorrectionValues( + const DataTypeT *in_data, CorrType *out_corr, int size, + int num_components, const PointIndex *entry_to_point_id_map) override; + PredictionSchemeMethod GetPredictionMethod() const override { + return MESH_PREDICTION_PARALLELOGRAM; + } + + bool IsInitialized() const override { + return this->mesh_data().IsInitialized(); + } +}; + +template <typename DataTypeT, class TransformT, class MeshDataT> +bool MeshPredictionSchemeParallelogramEncoder<DataTypeT, TransformT, + MeshDataT>:: + ComputeCorrectionValues(const DataTypeT *in_data, CorrType *out_corr, + int size, int num_components, + const PointIndex * /* entry_to_point_id_map */) { + this->transform().Init(in_data, size, num_components); + // For storage of prediction values (already initialized to zero). + std::unique_ptr<DataTypeT[]> pred_vals(new DataTypeT[num_components]()); + + // We start processing from the end because this prediction uses data from + // previous entries that could be overwritten when an entry is processed. + const CornerTable *const table = this->mesh_data().corner_table(); + const std::vector<int32_t> *const vertex_to_data_map = + this->mesh_data().vertex_to_data_map(); + for (int p = + static_cast<int>(this->mesh_data().data_to_corner_map()->size() - 1); + p > 0; --p) { + const CornerIndex corner_id = this->mesh_data().data_to_corner_map()->at(p); + const int dst_offset = p * num_components; + if (!ComputeParallelogramPrediction(p, corner_id, table, + *vertex_to_data_map, in_data, + num_components, pred_vals.get())) { + // Parallelogram could not be computed, Possible because some of the + // vertices are not valid (not encoded yet). + // We use the last encoded point as a reference (delta coding). + const int src_offset = (p - 1) * num_components; + this->transform().ComputeCorrection( + in_data + dst_offset, in_data + src_offset, out_corr + dst_offset); + } else { + // Apply the parallelogram prediction. + this->transform().ComputeCorrection(in_data + dst_offset, pred_vals.get(), + out_corr + dst_offset); + } + } + // First element is always fixed because it cannot be predicted. + for (int i = 0; i < num_components; ++i) { + pred_vals[i] = static_cast<DataTypeT>(0); + } + this->transform().ComputeCorrection(in_data, pred_vals.get(), out_corr); + return true; +} + +} // namespace draco + +#endif // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_ENCODER_H_ |