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Diffstat (limited to 'src/cpu/kernels/boundingboxtransform/generic/neon/impl.h')
| -rw-r--r-- | src/cpu/kernels/boundingboxtransform/generic/neon/impl.h | 102 |
1 files changed, 102 insertions, 0 deletions
diff --git a/src/cpu/kernels/boundingboxtransform/generic/neon/impl.h b/src/cpu/kernels/boundingboxtransform/generic/neon/impl.h new file mode 100644 index 0000000000..d8013c6227 --- /dev/null +++ b/src/cpu/kernels/boundingboxtransform/generic/neon/impl.h @@ -0,0 +1,102 @@ +/* + * Copyright (c) 2022-2023 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. + */ +#ifndef SRC_CORE_SVE_KERNELS_BOUNDINGBOXTRANFORM_IMPL_H +#define SRC_CORE_SVE_KERNELS_BOUNDINGBOXTRANFORM_IMPL_H +#include "arm_compute/core/Helpers.h" + +namespace arm_compute +{ +namespace cpu +{ +template <typename T> +void bounding_box_transform(const ITensor *boxes, + ITensor *pred_boxes, + const ITensor *deltas, + BoundingBoxTransformInfo bbinfo, + const Window &window) +{ + const size_t num_classes = deltas->info()->tensor_shape()[0] >> 2; + const size_t deltas_width = deltas->info()->tensor_shape()[0]; + const int img_h = std::floor(bbinfo.img_height() / bbinfo.scale() + 0.5f); + const int img_w = std::floor(bbinfo.img_width() / bbinfo.scale() + 0.5f); + + const auto scale_after = (bbinfo.apply_scale() ? T(bbinfo.scale()) : T(1)); + const auto scale_before = T(bbinfo.scale()); + ARM_COMPUTE_ERROR_ON(scale_before <= 0); + const auto offset = (bbinfo.correct_transform_coords() ? T(1.f) : T(0.f)); + + auto pred_ptr = reinterpret_cast<T *>(pred_boxes->buffer() + pred_boxes->info()->offset_first_element_in_bytes()); + auto delta_ptr = reinterpret_cast<T *>(deltas->buffer() + deltas->info()->offset_first_element_in_bytes()); + + Iterator box_it(boxes, window); + execute_window_loop( + window, + [&](const Coordinates &id) + { + const auto ptr = reinterpret_cast<T *>(box_it.ptr()); + const auto b0 = *ptr; + const auto b1 = *(ptr + 1); + const auto b2 = *(ptr + 2); + const auto b3 = *(ptr + 3); + const T width = (b2 / scale_before) - (b0 / scale_before) + T(1.f); + const T height = (b3 / scale_before) - (b1 / scale_before) + T(1.f); + const T ctr_x = (b0 / scale_before) + T(0.5f) * width; + const T ctr_y = (b1 / scale_before) + T(0.5f) * height; + for (size_t j = 0; j < num_classes; ++j) + { + // Extract deltas + const size_t delta_id = id.y() * deltas_width + 4u * j; + const T dx = delta_ptr[delta_id] / T(bbinfo.weights()[0]); + const T dy = delta_ptr[delta_id + 1] / T(bbinfo.weights()[1]); + T dw = delta_ptr[delta_id + 2] / T(bbinfo.weights()[2]); + T dh = delta_ptr[delta_id + 3] / T(bbinfo.weights()[3]); + // Clip dw and dh + dw = std::min(dw, T(bbinfo.bbox_xform_clip())); + dh = std::min(dh, T(bbinfo.bbox_xform_clip())); + // Determine the predictions + const T pred_ctr_x = dx * width + ctr_x; + const T pred_ctr_y = dy * height + ctr_y; + const T pred_w = std::exp(dw) * width; + const T pred_h = std::exp(dh) * height; + // Store the prediction into the output tensor + pred_ptr[delta_id] = scale_after * utility::clamp<T>(pred_ctr_x - T(0.5f) * pred_w, T(0), T(img_w - 1)); + pred_ptr[delta_id + 1] = + scale_after * utility::clamp<T>(pred_ctr_y - T(0.5f) * pred_h, T(0), T(img_h - 1)); + pred_ptr[delta_id + 2] = + scale_after * utility::clamp<T>(pred_ctr_x + T(0.5f) * pred_w - offset, T(0), T(img_w - 1)); + pred_ptr[delta_id + 3] = + scale_after * utility::clamp<T>(pred_ctr_y + T(0.5f) * pred_h - offset, T(0), T(img_h - 1)); + } + }, + box_it); +} + +void bounding_box_transform_qsymm16(const ITensor *boxes, + ITensor *pred_boxes, + const ITensor *deltas, + BoundingBoxTransformInfo bbinfo, + const Window &window); +} // namespace cpu +} // namespace arm_compute +#endif //define SRC_CORE_SVE_KERNELS_BOUNDINGBOXTRANFORM_IMPL_H |