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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.
//
#ifndef DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_NORMAL_OCTAHEDRON_CANONICALIZED_TRANSFORM_BASE_H_
#define DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_NORMAL_OCTAHEDRON_CANONICALIZED_TRANSFORM_BASE_H_
#include <cmath>
#include "draco/compression/attributes/normal_compression_utils.h"
#include "draco/compression/attributes/prediction_schemes/prediction_scheme_normal_octahedron_transform_base.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
// canonicalized normal octahedron prediction scheme transforms. See the
// encoding transform for more details about the method.
template <typename DataTypeT>
class PredictionSchemeNormalOctahedronCanonicalizedTransformBase
: public PredictionSchemeNormalOctahedronTransformBase<DataTypeT> {
public:
typedef PredictionSchemeNormalOctahedronTransformBase<DataTypeT> Base;
typedef VectorD<DataTypeT, 2> Point2;
typedef DataTypeT DataType;
PredictionSchemeNormalOctahedronCanonicalizedTransformBase() : Base() {}
// We expect the mod value to be of the form 2^b-1.
explicit PredictionSchemeNormalOctahedronCanonicalizedTransformBase(
DataType mod_value)
: Base(mod_value) {}
static constexpr PredictionSchemeTransformType GetType() {
return PREDICTION_TRANSFORM_NORMAL_OCTAHEDRON_CANONICALIZED;
}
int32_t GetRotationCount(Point2 pred) const {
const DataType sign_x = pred[0];
const DataType sign_y = pred[1];
int32_t rotation_count = 0;
if (sign_x == 0) {
if (sign_y == 0) {
rotation_count = 0;
} else if (sign_y > 0) {
rotation_count = 3;
} else {
rotation_count = 1;
}
} else if (sign_x > 0) {
if (sign_y >= 0) {
rotation_count = 2;
} else {
rotation_count = 1;
}
} else {
if (sign_y <= 0) {
rotation_count = 0;
} else {
rotation_count = 3;
}
}
return rotation_count;
}
Point2 RotatePoint(Point2 p, int32_t rotation_count) const {
switch (rotation_count) {
case 1:
return Point2(p[1], -p[0]);
case 2:
return Point2(-p[0], -p[1]);
case 3:
return Point2(-p[1], p[0]);
default:
return p;
}
}
bool IsInBottomLeft(const Point2 &p) const {
if (p[0] == 0 && p[1] == 0) {
return true;
}
return (p[0] < 0 && p[1] <= 0);
}
};
} // namespace draco
#endif // DRACO_COMPRESSION_ATTRIBUTES_PREDICTION_SCHEMES_PREDICTION_SCHEME_NORMAL_OCTAHEDRON_CANONICALIZED_TRANSFORM_BASE_H_
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