1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
|
// 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_DECODER_H_
#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_DECODER_H_
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_decoder.h"
#include "draco/compression/attributes/prediction_schemes/mesh_prediction_scheme_parallelogram_shared.h"
namespace draco {
// Decoder for attribute values encoded with the standard parallelogram
// prediction. See the description of the corresponding encoder for more
// details.
template <typename DataTypeT, class TransformT, class MeshDataT>
class MeshPredictionSchemeParallelogramDecoder
: public MeshPredictionSchemeDecoder<DataTypeT, TransformT, MeshDataT> {
public:
using CorrType =
typename PredictionSchemeDecoder<DataTypeT, TransformT>::CorrType;
using CornerTable = typename MeshDataT::CornerTable;
explicit MeshPredictionSchemeParallelogramDecoder(
const PointAttribute *attribute)
: MeshPredictionSchemeDecoder<DataTypeT, TransformT, MeshDataT>(
attribute) {}
MeshPredictionSchemeParallelogramDecoder(const PointAttribute *attribute,
const TransformT &transform,
const MeshDataT &mesh_data)
: MeshPredictionSchemeDecoder<DataTypeT, TransformT, MeshDataT>(
attribute, transform, mesh_data) {}
bool ComputeOriginalValues(const CorrType *in_corr, DataTypeT *out_data,
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 MeshPredictionSchemeParallelogramDecoder<DataTypeT, TransformT,
MeshDataT>::
ComputeOriginalValues(const CorrType *in_corr, DataTypeT *out_data,
int /* size */, int num_components,
const PointIndex * /* entry_to_point_id_map */) {
this->transform().Init(num_components);
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 storage of prediction values (already initialized to zero).
std::unique_ptr<DataTypeT[]> pred_vals(new DataTypeT[num_components]());
// Restore the first value.
this->transform().ComputeOriginalValue(pred_vals.get(), in_corr, out_data);
const int corner_map_size =
static_cast<int>(this->mesh_data().data_to_corner_map()->size());
for (int p = 1; p < corner_map_size; ++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, out_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().ComputeOriginalValue(
out_data + src_offset, in_corr + dst_offset, out_data + dst_offset);
} else {
// Apply the parallelogram prediction.
this->transform().ComputeOriginalValue(
pred_vals.get(), in_corr + dst_offset, out_data + dst_offset);
}
}
return true;
}
} // namespace draco
#endif // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_MESH_PREDICTION_SCHEME_PARALLELOGRAM_DECODER_H_
|
