| /* |
| * 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; |
| } |