| /* |
| * Copyright (c) 2019 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 "CropResize.h" |
| #include "Utils.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace reference |
| { |
| namespace |
| { |
| SimpleTensor<float> scale_image(const SimpleTensor<float> &in, const TensorShape &out_shape, InterpolationPolicy policy, float extrapolation_value) |
| { |
| ARM_COMPUTE_ERROR_ON(in.data_layout() != DataLayout::NHWC); |
| |
| SimpleTensor<float> out{ out_shape, DataType::F32, 1, QuantizationInfo(), DataLayout::NHWC }; |
| // Compute the ratio between source width/height and destination width/height |
| const auto wr = static_cast<float>(in.shape()[1]) / static_cast<float>(out_shape[1]); |
| const auto hr = static_cast<float>(in.shape()[2]) / static_cast<float>(out_shape[2]); |
| |
| const auto width = static_cast<int>(in.shape().y()); |
| const auto height = static_cast<int>(in.shape().z()); |
| |
| Window win; |
| win.use_tensor_dimensions(out_shape); |
| execute_window_loop(win, [&](const Coordinates & out_id) |
| { |
| Coordinates in_id(out_id); |
| int idw = in_id.y(); |
| int idh = in_id.z(); |
| |
| switch(policy) |
| { |
| case InterpolationPolicy::NEAREST_NEIGHBOR: |
| { |
| //Calculate the source coords without -0.5f is equivalent to round the x_scr/y_src coords |
| float x_src = std::floor(idw * wr); |
| float y_src = std::floor(idh * hr); |
| in_id.set(1, x_src); |
| in_id.set(2, y_src); |
| |
| // If coordinates in range of tensor's width or height |
| if(is_valid_pixel_index(x_src, y_src, width, height, 0)) |
| { |
| *reinterpret_cast<float *>(out(out_id)) = tensor_elem_at(in, in_id, BorderMode::CONSTANT, extrapolation_value); |
| } |
| else |
| { |
| *reinterpret_cast<float *>(out(out_id)) = extrapolation_value; |
| } |
| break; |
| } |
| case InterpolationPolicy::BILINEAR: |
| { |
| float x_src = idw * wr; |
| float y_src = idh * hr; |
| in_id.set(1, std::floor(x_src)); |
| in_id.set(2, std::floor(y_src)); |
| if(is_valid_pixel_index(x_src, y_src, width, height, 0)) |
| { |
| const int id_w = in_id[1]; |
| const int id_h = in_id[2]; |
| |
| const float dx = x_src - id_w; |
| const float dy = y_src - id_h; |
| const float dx_1 = 1.0f - dx; |
| const float dy_1 = 1.0f - dy; |
| |
| in_id.set(1, id_w); |
| in_id.set(2, id_h); |
| const float tl = tensor_elem_at(in, in_id, BorderMode::CONSTANT, extrapolation_value); |
| in_id.set(1, id_w + 1); |
| in_id.set(2, id_h); |
| const float tr = tensor_elem_at(in, in_id, BorderMode::CONSTANT, extrapolation_value); |
| in_id.set(1, id_w); |
| in_id.set(2, id_h + 1); |
| const float bl = tensor_elem_at(in, in_id, BorderMode::CONSTANT, extrapolation_value); |
| in_id.set(1, id_w + 1); |
| in_id.set(2, id_h + 1); |
| const float br = tensor_elem_at(in, in_id, BorderMode::CONSTANT, extrapolation_value); |
| |
| *reinterpret_cast<float *>(out(out_id)) = tl * (dx_1 * dy_1) + tr * (dx * dy_1) + bl * (dx_1 * dy) + br * (dx * dy); |
| } |
| else |
| { |
| *reinterpret_cast<float *>(out(out_id)) = extrapolation_value; |
| } |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Unsupported interpolation mode"); |
| } |
| }); |
| |
| return out; |
| } |
| |
| template <typename T> |
| SimpleTensor<float> crop_image(const SimpleTensor<T> &src, Coordinates start, Coordinates end, int32_t batch_index, float extrapolation_value) |
| { |
| TensorShape out_shape(src.shape()[0], static_cast<uint32_t>(abs(end[0] - start[0])) + 1, static_cast<uint32_t>(abs(end[1] - start[1])) + 1); |
| |
| SimpleTensor<float> out{ out_shape, DataType::F32, 1, QuantizationInfo(), DataLayout::NHWC }; |
| |
| Window win; |
| win.use_tensor_dimensions(out_shape); |
| execute_window_loop(win, [&](const Coordinates & id) |
| { |
| bool out_of_bounds = false; |
| Coordinates offset(id[0], 0, 0, batch_index); |
| for(uint32_t i = 1; i < 3; ++i) |
| { |
| offset.set(i, end[i - 1] < start[i - 1] ? start[i - 1] - id[i] : start[i - 1] + id[i]); |
| if(offset[i] < 0 || static_cast<uint32_t>(offset[i]) > src.shape()[i] - 1) |
| { |
| out_of_bounds = true; |
| break; |
| } |
| } |
| if(!out_of_bounds) |
| { |
| *reinterpret_cast<float *>(out(id)) = static_cast<float>(*reinterpret_cast<const T *>(src(offset))); |
| } |
| else |
| { |
| *reinterpret_cast<float *>(out(id)) = extrapolation_value; |
| } |
| }); |
| return out; |
| } |
| |
| } // namespace |
| |
| template <typename T> |
| SimpleTensor<float> crop_and_resize(const SimpleTensor<T> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value) |
| { |
| ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 4); |
| ARM_COMPUTE_ERROR_ON(src.data_layout() != DataLayout::NHWC); |
| |
| const TensorShape out_shape(src.shape()[0], crop_size.x, crop_size.y, boxes.shape()[1]); |
| SimpleTensor<float> out{ out_shape, DataType::F32, 1, QuantizationInfo(), DataLayout::NHWC }; |
| |
| const TensorShape scaled_image_shape(src.shape()[0], crop_size.x, crop_size.y); |
| |
| for(uint32_t i = 0; i < boxes.shape()[1]; ++i) |
| { |
| Coordinates start = Coordinates(std::floor((*reinterpret_cast<const float *>(boxes(Coordinates(1, i)))) * (src.shape()[1] - 1) + 0.5f), |
| std::floor((*reinterpret_cast<const float *>(boxes(Coordinates(0, i)))) * (src.shape()[2] - 1) + 0.5f)); |
| Coordinates end = Coordinates(std::floor((*reinterpret_cast<const float *>(boxes(Coordinates(3, i)))) * (src.shape()[1] - 1) + 0.5f), |
| std::floor((*reinterpret_cast<const float *>(boxes(Coordinates(2, i)))) * (src.shape()[2] - 1) + 0.5f)); |
| SimpleTensor<float> cropped = crop_image(src, start, end, box_ind[i], extrapolation_value); |
| SimpleTensor<float> scaled = scale_image(cropped, scaled_image_shape, method, extrapolation_value); |
| std::copy_n(reinterpret_cast<float *>(scaled.data()), scaled.num_elements(), reinterpret_cast<float *>(out(Coordinates(0, 0, 0, i)))); |
| } |
| return out; |
| } |
| |
| template SimpleTensor<float> crop_and_resize(const SimpleTensor<float> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| template SimpleTensor<float> crop_and_resize(const SimpleTensor<uint16_t> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| template SimpleTensor<float> crop_and_resize(const SimpleTensor<uint32_t> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| template SimpleTensor<float> crop_and_resize(const SimpleTensor<int16_t> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| template SimpleTensor<float> crop_and_resize(const SimpleTensor<int32_t> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| template SimpleTensor<float> crop_and_resize(const SimpleTensor<half> &src, const SimpleTensor<float> &boxes, SimpleTensor<int32_t> box_ind, |
| Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value); |
| } // namespace reference |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |