blob: ff71fe86fdfd8ea146551ac5fcef3be1aca01a8e (
plain)
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
|
// 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_PREDICTION_SCHEME_NORMAL_OCTAHEDRON_TRANSFORM_BASE_H_
#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_NORMAL_OCTAHEDRON_TRANSFORM_BASE_H_
#include <cmath>
#include "draco/compression/attributes/normal_compression_utils.h"
#include "draco/compression/config/compression_shared.h"
#include "draco/core/bit_utils.h"
#include "draco/core/macros.h"
#include "draco/core/vector_d.h"
namespace draco {
// Base class containing shared functionality used by both encoding and decoding
// octahedral normal prediction scheme transforms. See the encoding transform
// for more details about the method.
template <typename DataTypeT>
class PredictionSchemeNormalOctahedronTransformBase {
public:
typedef VectorD<DataTypeT, 2> Point2;
typedef DataTypeT DataType;
PredictionSchemeNormalOctahedronTransformBase() {}
// We expect the mod value to be of the form 2^b-1.
explicit PredictionSchemeNormalOctahedronTransformBase(
DataType max_quantized_value) {
this->set_max_quantized_value(max_quantized_value);
}
static constexpr PredictionSchemeTransformType GetType() {
return PREDICTION_TRANSFORM_NORMAL_OCTAHEDRON;
}
// We can return true as we keep correction values positive.
bool AreCorrectionsPositive() const { return true; }
inline DataTypeT max_quantized_value() const {
return octahedron_tool_box_.max_quantized_value();
}
inline DataTypeT center_value() const {
return octahedron_tool_box_.center_value();
}
inline int32_t quantization_bits() const {
return octahedron_tool_box_.quantization_bits();
}
protected:
inline bool set_max_quantized_value(DataTypeT max_quantized_value) {
if (max_quantized_value % 2 == 0)
return false;
int q = MostSignificantBit(max_quantized_value) + 1;
return octahedron_tool_box_.SetQuantizationBits(q);
}
bool IsInDiamond(DataTypeT s, DataTypeT t) const {
return octahedron_tool_box_.IsInDiamond(s, t);
}
void InvertDiamond(DataTypeT *s, DataTypeT *t) const {
return octahedron_tool_box_.InvertDiamond(s, t);
}
int32_t ModMax(int32_t x) const { return octahedron_tool_box_.ModMax(x); }
// For correction values.
int32_t MakePositive(int32_t x) const {
return octahedron_tool_box_.MakePositive(x);
}
private:
OctahedronToolBox octahedron_tool_box_;
};
} // namespace draco
#endif // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_NORMAL_OCTAHEDRON_TRANSFORM_BASE_H_
|