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89 lines
3.9 KiB
C++
89 lines
3.9 KiB
C++
// Copyright 2016 The Draco Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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// Functions for creating prediction schemes for encoders using the provided
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// prediction method id.
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#ifndef DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODER_FACTORY_H_
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#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODER_FACTORY_H_
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#include "compression/attributes/prediction_schemes/prediction_scheme_factory.h"
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#include "compression/mesh/mesh_encoder.h"
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namespace draco {
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// Creates a prediction scheme for a given encoder and given prediction method.
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// The prediction schemes are automatically initialized with encoder specific
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// data if needed.
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template <typename DataTypeT,
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class TransformT = PredictionSchemeTransform<DataTypeT, DataTypeT>>
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std::unique_ptr<PredictionScheme<DataTypeT, TransformT>>
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CreatePredictionSchemeForEncoder(PredictionSchemeMethod method, int att_id,
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const PointCloudEncoder *encoder,
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const TransformT &transform) {
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const PointAttribute *const att = encoder->point_cloud()->attribute(att_id);
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if (method == PREDICTION_UNDEFINED) {
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if (encoder->options()->GetSpeed() >= 10) {
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return nullptr; // No prediction when the fastest speed is requested.
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}
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if (encoder->GetGeometryType() == TRIANGULAR_MESH) {
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// Use speed setting to select the best encoding method.
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if (encoder->options()->GetSpeed() >= 8) {
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method = PREDICTION_DIFFERENCE;
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} else if (encoder->options()->GetSpeed() >= 5) {
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method = MESH_PREDICTION_PARALLELOGRAM;
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} else {
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if (att->attribute_type() == GeometryAttribute::TEX_COORD) {
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method = MESH_PREDICTION_TEX_COORDS;
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} else {
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method = MESH_PREDICTION_MULTI_PARALLELOGRAM;
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}
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}
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}
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}
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if (encoder->GetGeometryType() == TRIANGULAR_MESH) {
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// Cast the encoder to mesh encoder. This is not necessarily safe if there
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// is some other encoder decides to use TRIANGULAR_MESH as the return type,
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// but unfortunately there is not nice work around for this without using
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// RTTI (double dispatch and similar conecepts will not work because of the
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// template nature of the prediction schemes).
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const MeshEncoder *const mesh_encoder =
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static_cast<const MeshEncoder *>(encoder);
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auto ret = CreateMeshPredictionScheme<MeshEncoder, DataTypeT, TransformT>(
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mesh_encoder, method, att_id, transform);
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if (ret)
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return ret;
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// Otherwise try to create another prediction scheme.
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}
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return CreatePredictionScheme<DataTypeT, TransformT>(method, att, transform);
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}
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// Create a prediction scheme using a default transform constructor.
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template <typename DataTypeT,
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class TransformT = PredictionSchemeTransform<DataTypeT, DataTypeT>>
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std::unique_ptr<PredictionScheme<DataTypeT, TransformT>>
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CreatePredictionSchemeForEncoder(PredictionSchemeMethod method, int att_id,
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const PointCloudEncoder *encoder) {
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return CreatePredictionSchemeForEncoder<DataTypeT, TransformT>(
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method, att_id, encoder, TransformT());
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}
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// Returns the preferred prediction scheme based on the encoder options.
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PredictionSchemeMethod GetPredictionMethodFromOptions(
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int att_id, const EncoderOptions &options);
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} // namespace draco
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#endif // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODER_FACTORY_H_
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