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/*
* Copyright (c) 2016, 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/core/PyramidInfo.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/TensorShape.h"
#include <cmath>
using namespace arm_compute;
PyramidInfo::PyramidInfo()
: _num_levels(0), _tensor_shape(), _format(Format::UNKNOWN), _scale(0.0f)
{
}
PyramidInfo::PyramidInfo(size_t num_levels, float scale, size_t width, size_t height, Format format)
: PyramidInfo()
{
init(num_levels, scale, width, height, format);
}
PyramidInfo::PyramidInfo(size_t num_levels, float scale, const TensorShape &tensor_shape, Format format)
: PyramidInfo()
{
init(num_levels, scale, tensor_shape, format);
}
void PyramidInfo::init(size_t num_levels, float scale, size_t width, size_t height, Format format)
{
init(num_levels, scale, TensorShape(width, height), format);
}
void PyramidInfo::init(size_t num_levels, float scale, const TensorShape &tensor_shape, Format format)
{
ARM_COMPUTE_ERROR_ON(0 == num_levels);
ARM_COMPUTE_ERROR_ON(0.0f == scale);
ARM_COMPUTE_ERROR_ON(0 == tensor_shape.x());
ARM_COMPUTE_ERROR_ON(0 == tensor_shape.y());
ARM_COMPUTE_ERROR_ON(Format::IYUV == format);
ARM_COMPUTE_ERROR_ON(Format::NV12 == format);
ARM_COMPUTE_ERROR_ON(Format::NV21 == format);
ARM_COMPUTE_ERROR_ON(Format::UYVY422 == format);
ARM_COMPUTE_ERROR_ON(Format::YUV444 == format);
ARM_COMPUTE_ERROR_ON(Format::YUYV422 == format);
ARM_COMPUTE_ERROR_ON_MSG(0 != _num_levels, "PyramidInfo already initialized");
ARM_COMPUTE_ERROR_ON(0 == (tensor_shape.x() * pow(scale, num_levels)));
ARM_COMPUTE_ERROR_ON(0 == (tensor_shape.y() * pow(scale, num_levels)));
_num_levels = num_levels;
_format = format;
_scale = scale;
_tensor_shape = tensor_shape;
}
size_t PyramidInfo::num_levels() const
{
return _num_levels;
}
size_t PyramidInfo::width() const
{
return _tensor_shape.x();
}
size_t PyramidInfo::height() const
{
return _tensor_shape.y();
}
const TensorShape &PyramidInfo::tensor_shape() const
{
return _tensor_shape;
}
Format PyramidInfo::format() const
{
return _format;
}
float PyramidInfo::scale() const
{
return _scale;
}
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