diff options
Diffstat (limited to 'tests/Utils.h')
| -rw-r--r-- | tests/Utils.h | 28 |
1 files changed, 27 insertions, 1 deletions
diff --git a/tests/Utils.h b/tests/Utils.h index d5c0a36ba2..5814965a40 100644 --- a/tests/Utils.h +++ b/tests/Utils.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017, 2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -27,6 +27,8 @@ #include "arm_compute/core/Coordinates.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/FixedPoint.h" +#include "arm_compute/core/HOGInfo.h" +#include "arm_compute/core/Size2D.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" @@ -494,6 +496,30 @@ inline T create_tensor(const TensorShape &shape, Format format) return tensor; } +/** Create and initialize a HOG (Histogram of Oriented Gradients) of the given type. + * + * @param[in] cell_size Cell size in pixels + * @param[in] block_size Block size in pixels. Must be a multiple of cell_size. + * @param[in] detection_window_size Detection window size in pixels. Must be a multiple of block_size and block_stride. + * @param[in] block_stride Distance in pixels between 2 consecutive blocks along the x and y direction. Must be a multiple of cell size + * @param[in] num_bins Number of histogram bins for each cell + * @param[in] normalization_type (Optional) Normalization type to use for each block + * @param[in] l2_hyst_threshold (Optional) Threshold used for L2HYS_NORM normalization method + * @param[in] phase_type (Optional) Type of @ref PhaseType + * + * @return Initialized HOG of given type. + */ +template <typename T> +inline T create_HOG(const Size2D &cell_size, const Size2D &block_size, const Size2D &detection_window_size, const Size2D &block_stride, size_t num_bins, + HOGNormType normalization_type = HOGNormType::L2HYS_NORM, float l2_hyst_threshold = 0.2f, PhaseType phase_type = PhaseType::UNSIGNED) +{ + T hog; + HOGInfo hog_info(cell_size, block_size, block_size, block_stride, num_bins, normalization_type, l2_hyst_threshold, phase_type); + hog.init(hog_info); + + return hog; +} + /** Create a vector of random ROIs. * * @param[in] shape The shape of the input tensor. |