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8374e14042
1. More optimized selection of prediction schemes for different compression levels on the encoder side. 2. Improved robustness to tampered input data (.drc) 3. Added support for strognly typed vectors of bools 4. Support for logging and squared lenght to our VectorND class 5. Added support for partially defined indices in .OBJ files 6. Added support for loading of normal vectors in .PLY files
80 lines
3.6 KiB
C++
80 lines
3.6 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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// Selects a prediction method based on the input geometry type and based on the
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// encoder options.
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PredictionSchemeMethod SelectPredictionMethod(int att_id,
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const PointCloudEncoder *encoder);
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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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method = SelectPredictionMethod(att_id, encoder);
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if (method == PREDICTION_NONE)
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return nullptr; // No prediction is used.
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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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