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Diffstat (limited to 'tests/validation/reference/BoundingBoxTransform.cpp')
| -rw-r--r-- | tests/validation/reference/BoundingBoxTransform.cpp | 101 |
1 files changed, 101 insertions, 0 deletions
diff --git a/tests/validation/reference/BoundingBoxTransform.cpp b/tests/validation/reference/BoundingBoxTransform.cpp new file mode 100644 index 0000000000..6ac512e749 --- /dev/null +++ b/tests/validation/reference/BoundingBoxTransform.cpp @@ -0,0 +1,101 @@ +/* + * Copyright (c) 2018 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 "BoundingBoxTransform.h" + +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include "arm_compute/core/utils/misc/Utility.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> bounding_box_transform(const SimpleTensor<T> &boxes, const SimpleTensor<T> &deltas, const BoundingBoxTransformInfo &info) +{ + const DataType boxes_data_type = deltas.data_type(); + SimpleTensor<T> pred_boxes(deltas.shape(), boxes_data_type); + + const size_t num_classes = deltas.shape()[0] / 4; + const size_t num_boxes = deltas.shape()[1]; + const T *deltas_ptr = deltas.data(); + T *pred_boxes_ptr = pred_boxes.data(); + + const int img_h = floor(info.img_height() / info.scale() + 0.5f); + const int img_w = floor(info.img_width() / info.scale() + 0.5f); + + const T scale = (info.apply_scale() ? T(info.scale()) : T(1)); + + const size_t box_fields = 4; + const size_t class_fields = 4; + + for(size_t i = 0; i < num_boxes; ++i) + { + // Extract ROI information + const size_t start_box = box_fields * i; + const T width = boxes[start_box + 2] - boxes[start_box] + T(1.0); + const T height = boxes[start_box + 3] - boxes[start_box + 1] + T(1.0); + const T ctr_x = boxes[start_box] + T(0.5) * width; + const T ctr_y = boxes[start_box + 1] + T(0.5) * height; + + for(size_t j = 0; j < num_classes; ++j) + { + // Extract deltas + const size_t start_delta = i * num_classes * class_fields + class_fields * j; + const T dx = deltas_ptr[start_delta] / T(info.weights()[0]); + const T dy = deltas_ptr[start_delta + 1] / T(info.weights()[1]); + T dw = deltas_ptr[start_delta + 2] / T(info.weights()[2]); + T dh = deltas_ptr[start_delta + 3] / T(info.weights()[3]); + + // Clip dw and dh + dw = std::min(dw, T(info.bbox_xform_clip())); + dh = std::min(dh, T(info.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 = T(std::exp(dw)) * width; + const T pred_h = T(std::exp(dh)) * height; + + // Store the prediction into the output tensor + pred_boxes_ptr[start_delta] = scale * utility::clamp<T>(pred_ctr_x - T(0.5) * pred_w, T(0), T(img_w)); + pred_boxes_ptr[start_delta + 1] = scale * utility::clamp<T>(pred_ctr_y - T(0.5) * pred_h, T(0), T(img_h)); + pred_boxes_ptr[start_delta + 2] = scale * utility::clamp<T>(pred_ctr_x + T(0.5) * pred_w, T(0), T(img_w)); + pred_boxes_ptr[start_delta + 3] = scale * utility::clamp<T>(pred_ctr_y + T(0.5) * pred_h, T(0), T(img_h)); + } + } + return pred_boxes; +} + +template SimpleTensor<float> bounding_box_transform(const SimpleTensor<float> &boxes, const SimpleTensor<float> &deltas, const BoundingBoxTransformInfo &info); +template SimpleTensor<half> bounding_box_transform(const SimpleTensor<half> &boxes, const SimpleTensor<half> &deltas, const BoundingBoxTransformInfo &info); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute |