| /* |
| * Copyright (c) 2016, 2017 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 __ARM_COMPUTE_NEHOGMULTIDETECTION_H__ |
| #define __ARM_COMPUTE_NEHOGMULTIDETECTION_H__ |
| |
| #include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h" |
| #include "arm_compute/core/IArray.h" |
| #include "arm_compute/core/IMultiHOG.h" |
| #include "arm_compute/core/NEON/kernels/NEHOGDescriptorKernel.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/NEON/functions/NEHOGDetector.h" |
| #include "arm_compute/runtime/NEON/functions/NEHOGGradient.h" |
| #include "arm_compute/runtime/Tensor.h" |
| |
| namespace arm_compute |
| { |
| /** Basic function to detect multiple objects (or the same object at different scales) on the same input image using HOG. This function calls the following NEON kernels: |
| * |
| * -# @ref NEHOGGradient |
| * -# @ref NEHOGOrientationBinningKernel |
| * -# @ref NEHOGBlockNormalizationKernel |
| * -# @ref NEHOGDetector |
| * -# @ref CPPDetectionWindowNonMaximaSuppressionKernel (executed if non_maxima_suppression == true) |
| * |
| * @note This implementation works if all the HOG data-objects within the IMultiHOG container have the same: |
| * -# Phase type |
| -# Normalization type |
| -# L2 hysteresis threshold if the normalization type is L2HYS_NORM |
| * |
| */ |
| class NEHOGMultiDetection : public IFunction |
| { |
| public: |
| /** Default constructor */ |
| NEHOGMultiDetection(); |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEHOGMultiDetection(const NEHOGMultiDetection &) = delete; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| NEHOGMultiDetection &operator=(const NEHOGMultiDetection &) = delete; |
| /** Initialise the function's source, destination, detection window strides, border mode, threshold and non-maxima suppression |
| * |
| * @param[in, out] input Input tensor. Data type supported: U8 |
| * (Written to only for @p border_mode != UNDEFINED) |
| * @param[in] multi_hog Container of multiple HOG data object. Each HOG data object describes one HOG model to detect. |
| * This container should store the HOG data-objects in descending or ascending cell_size width order. |
| * This will help to understand if the HOG descriptor computation can be skipped for some HOG data-objects |
| * @param[out] detection_windows Array of @ref DetectionWindow used for locating the detected objects |
| * @param[in] detection_window_strides Array of @ref Size2D used to specify the distance in pixels between 2 consecutive detection windows in x and y directions for each HOG data-object |
| * The dimension of this array must be the same of multi_hog->num_models() |
| * The i-th detection_window_stride of this array must be multiple of the block_stride stored in the i-th multi_hog array |
| * @param[in] border_mode Border mode to use. |
| * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. |
| * @param[in] threshold (Optional) Threshold for the distance between features and SVM classifying plane |
| * @param[in] non_maxima_suppression (Optional) Flag to specify whether the non-maxima suppression is required or not. |
| * True if the non-maxima suppression stage has to be computed |
| * @param[in] min_distance (Optional) Radial Euclidean distance to use for the non-maxima suppression stage |
| * |
| */ |
| void configure(ITensor *input, const IMultiHOG *multi_hog, IDetectionWindowArray *detection_windows, const ISize2DArray *detection_window_strides, BorderMode border_mode, |
| uint8_t constant_border_value = 0, |
| float threshold = 0.0f, bool non_maxima_suppression = false, float min_distance = 1.0f); |
| |
| // Inherited method overridden: |
| void run() override; |
| |
| private: |
| NEHOGGradient _gradient_kernel; |
| std::unique_ptr<NEHOGOrientationBinningKernel[]> _orient_bin_kernel; |
| std::unique_ptr<NEHOGBlockNormalizationKernel[]> _block_norm_kernel; |
| std::unique_ptr<NEHOGDetector[]> _hog_detect_kernel; |
| std::unique_ptr<CPPDetectionWindowNonMaximaSuppressionKernel> _non_maxima_kernel; |
| std::unique_ptr<Tensor[]> _hog_space; |
| std::unique_ptr<Tensor[]> _hog_norm_space; |
| IDetectionWindowArray *_detection_windows; |
| Tensor _mag; |
| Tensor _phase; |
| bool _non_maxima_suppression; |
| size_t _num_orient_bin_kernel; |
| size_t _num_block_norm_kernel; |
| size_t _num_hog_detect_kernel; |
| }; |
| } |
| |
| #endif /* __ARM_COMPUTE_NEHOGMULTIDETECTION_H__ */ |