| /* |
| * Copyright (c) 2016-2020 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/runtime/Pyramid.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/PyramidInfo.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/TensorShape.h" |
| |
| #include <cmath> |
| |
| using namespace arm_compute; |
| |
| void Pyramid::init(const PyramidInfo &info) |
| { |
| internal_init(info, false); |
| } |
| |
| void Pyramid::init_auto_padding(const PyramidInfo &info) |
| { |
| internal_init(info, true); |
| } |
| |
| void Pyramid::internal_init(const PyramidInfo &info, bool auto_padding) |
| { |
| _info = info; |
| _pyramid.resize(_info.num_levels()); |
| |
| size_t w = _info.width(); |
| size_t h = _info.height(); |
| size_t ref_w = w; |
| size_t ref_h = h; |
| bool is_orb_scale = (SCALE_PYRAMID_ORB == _info.scale()); |
| TensorShape tensor_shape = _info.tensor_shape(); |
| |
| // Note: Look-up table used by the OpenVX sample implementation |
| const std::array<float, 4> c_orbscale = { 0.5f, |
| SCALE_PYRAMID_ORB, |
| SCALE_PYRAMID_ORB * SCALE_PYRAMID_ORB, |
| SCALE_PYRAMID_ORB *SCALE_PYRAMID_ORB * SCALE_PYRAMID_ORB |
| }; |
| |
| for(size_t i = 0; i < _info.num_levels(); ++i) |
| { |
| TensorInfo tensor_info(tensor_shape, _info.format()); |
| |
| if(auto_padding) |
| { |
| tensor_info.auto_padding(); |
| } |
| |
| _pyramid[i].allocator()->init(tensor_info); |
| |
| if(is_orb_scale) |
| { |
| float orb_scale = c_orbscale[(i + 1) % 4]; |
| w = static_cast<int>(std::ceil(static_cast<float>(ref_w) * orb_scale)); |
| h = static_cast<int>(std::ceil(static_cast<float>(ref_h) * orb_scale)); |
| |
| if(0 == ((i + 1) % 4)) |
| { |
| ref_w = w; |
| ref_h = h; |
| } |
| } |
| else |
| { |
| w = (w + 1) * _info.scale(); |
| h = (h + 1) * _info.scale(); |
| } |
| |
| // Update tensor_shape |
| tensor_shape.set(0, w); |
| tensor_shape.set(1, h); |
| } |
| } |
| |
| void Pyramid::allocate() |
| { |
| for(size_t i = 0; i < _info.num_levels(); ++i) |
| { |
| _pyramid[i].allocator()->allocate(); |
| } |
| } |
| |
| const PyramidInfo *Pyramid::info() const |
| { |
| return &_info; |
| } |
| |
| Tensor *Pyramid::get_pyramid_level(size_t index) const |
| { |
| ARM_COMPUTE_ERROR_ON(index >= _info.num_levels()); |
| |
| return &_pyramid[index]; |
| } |