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// 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.
//
// Functions for creating prediction schemes for encoders using the provided
// prediction method id.
#ifndef DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODER_FACTORY_H_
#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODER_FACTORY_H_
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_constrained_multi_parallelogram_encoder.h"
#ifdef DRACO_NORMAL_ENCODING_SUPPORTED
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_geometric_normal_encoder.h"
#endif
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_multi_parallelogram_encoder.h"
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_encoder.h"
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_tex_coords_encoder.h"
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_tex_coords_portable_encoder.h"
#include "draco/compression/attributes/prediction_schemes/prediction_scheme_delta_encoder.h"
#include "draco/compression/attributes/prediction_schemes/prediction_scheme_encoder.h"
#include "draco/compression/attributes/prediction_schemes/prediction_scheme_factory.h"
#include "draco/compression/mesh/mesh_encoder.h"
namespace draco {
// Selects a prediction method based on the input geometry type and based on the
// encoder options.
PredictionSchemeMethod SelectPredictionMethod(int att_id,
const PointCloudEncoder *encoder);
PredictionSchemeMethod SelectPredictionMethod(int att_id,
const EncoderOptions &options,
const PointCloudEncoder *encoder);
// Factory class for creating mesh prediction schemes.
template <typename DataTypeT>
struct MeshPredictionSchemeEncoderFactory {
template <class TransformT, class MeshDataT>
std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>> operator()(
PredictionSchemeMethod method, const PointAttribute *attribute,
const TransformT &transform, const MeshDataT &mesh_data,
uint16_t bitstream_version) {
if (method == MESH_PREDICTION_PARALLELOGRAM) {
return std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>(
new MeshPredictionSchemeParallelogramEncoder<DataTypeT, TransformT,
MeshDataT>(
attribute, transform, mesh_data));
} else if (method == MESH_PREDICTION_CONSTRAINED_MULTI_PARALLELOGRAM) {
return std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>(
new MeshPredictionSchemeConstrainedMultiParallelogramEncoder<
DataTypeT, TransformT, MeshDataT>(attribute, transform,
mesh_data));
} else if (method == MESH_PREDICTION_TEX_COORDS_PORTABLE) {
return std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>(
new MeshPredictionSchemeTexCoordsPortableEncoder<
DataTypeT, TransformT, MeshDataT>(attribute, transform,
mesh_data));
}
#ifdef DRACO_NORMAL_ENCODING_SUPPORTED
else if (method == MESH_PREDICTION_GEOMETRIC_NORMAL) {
return std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>(
new MeshPredictionSchemeGeometricNormalEncoder<DataTypeT, TransformT,
MeshDataT>(
attribute, transform, mesh_data));
}
#endif
return nullptr;
}
};
// Creates a prediction scheme for a given encoder and given prediction method.
// The prediction schemes are automatically initialized with encoder specific
// data if needed.
template <typename DataTypeT, class TransformT>
std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>
CreatePredictionSchemeForEncoder(PredictionSchemeMethod method, int att_id,
const PointCloudEncoder *encoder,
const TransformT &transform) {
const PointAttribute *const att = encoder->point_cloud()->attribute(att_id);
if (method == PREDICTION_UNDEFINED) {
method = SelectPredictionMethod(att_id, encoder);
}
if (method == PREDICTION_NONE) {
return nullptr; // No prediction is used.
}
if (encoder->GetGeometryType() == TRIANGULAR_MESH) {
// Cast the encoder to mesh encoder. This is not necessarily safe if there
// is some other encoder decides to use TRIANGULAR_MESH as the return type,
// but unfortunately there is not nice work around for this without using
// RTTI (double dispatch and similar concepts will not work because of the
// template nature of the prediction schemes).
const MeshEncoder *const mesh_encoder =
static_cast<const MeshEncoder *>(encoder);
auto ret = CreateMeshPredictionScheme<
MeshEncoder, PredictionSchemeEncoder<DataTypeT, TransformT>,
MeshPredictionSchemeEncoderFactory<DataTypeT>>(
mesh_encoder, method, att_id, transform, kDracoMeshBitstreamVersion);
if (ret) {
return ret;
}
// Otherwise try to create another prediction scheme.
}
// Create delta encoder.
return std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>(
new PredictionSchemeDeltaEncoder<DataTypeT, TransformT>(att, transform));
}
// Create a prediction scheme using a default transform constructor.
template <typename DataTypeT, class TransformT>
std::unique_ptr<PredictionSchemeEncoder<DataTypeT, TransformT>>
CreatePredictionSchemeForEncoder(PredictionSchemeMethod method, int att_id,
const PointCloudEncoder *encoder) {
return CreatePredictionSchemeForEncoder<DataTypeT, TransformT>(
method, att_id, encoder, TransformT());
}
// Returns the preferred prediction scheme based on the encoder options.
PredictionSchemeMethod GetPredictionMethodFromOptions(
int att_id, const EncoderOptions &options);
} // namespace draco
#endif // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_ENCODER_FACTORY_H_
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