1 /* 2 * Copyright (c) 2017-2020 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_CLHOGMULTIDETECTION_H 25 #define ARM_COMPUTE_CLHOGMULTIDETECTION_H 26 27 #include "arm_compute/core/CL/ICLArray.h" 28 #include "arm_compute/core/CL/ICLMultiHOG.h" 29 #include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h" 30 #include "arm_compute/runtime/CL/CLTensor.h" 31 #include "arm_compute/runtime/CL/functions/CLHOGDetector.h" 32 #include "arm_compute/runtime/CL/functions/CLHOGGradient.h" 33 #include "arm_compute/runtime/IFunction.h" 34 #include "arm_compute/runtime/IMemoryManager.h" 35 #include "arm_compute/runtime/MemoryGroup.h" 36 37 #include <memory> 38 39 namespace arm_compute 40 { 41 class CLCompileContext; 42 class CLHOGOrientationBinningKernel; 43 class CLHOGBlockNormalizationKernel; 44 /** 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 kernels: 45 * 46 * -# @ref CLHOGGradient 47 * -# @ref CLHOGOrientationBinningKernel 48 * -# @ref CLHOGBlockNormalizationKernel 49 * -# @ref CLHOGDetector 50 * -# @ref CPPDetectionWindowNonMaximaSuppressionKernel (executed if non_maxima_suppression == true) 51 * 52 * @note This implementation works if all the HOG data-objects within the IMultiHOG container have the same: 53 * -# Phase type 54 -# Normalization type 55 -# L2 hysteresis threshold if the normalization type is L2HYS_NORM 56 * 57 * 58 * @deprecated This function is deprecated and is intended to be removed in 21.05 release 59 * 60 */ 61 class CLHOGMultiDetection : public IFunction 62 { 63 public: 64 /** Default constructor */ 65 CLHOGMultiDetection(std::shared_ptr<IMemoryManager> memory_manager = nullptr); 66 /** Prevent instances of this class from being copied (As this class contains pointers) */ 67 CLHOGMultiDetection(const CLHOGMultiDetection &) = delete; 68 /** Prevent instances of this class from being copied (As this class contains pointers) */ 69 CLHOGMultiDetection &operator=(const CLHOGMultiDetection &) = delete; 70 /** Default destructor */ 71 ~CLHOGMultiDetection(); 72 /** Initialise the function's source, destination, detection window strides, border mode, threshold and non-maxima suppression 73 * 74 * @param[in, out] input Input tensor. Data type supported: U8 75 * (Written to only for @p border_mode != UNDEFINED) 76 * @param[in] multi_hog Container of multiple HOG data object. Each HOG data object describes one HOG model to detect. 77 * This container should store the HOG data-objects in descending or ascending cell_size width order. 78 * This will help to understand if the HOG descriptor computation can be skipped for some HOG data-objects 79 * @param[out] detection_windows Array of @ref DetectionWindow used for locating the detected objects 80 * @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 81 * The dimension of this array must be the same of multi_hog->num_models() 82 * The i-th detection_window_stride of this array must be multiple of the block_stride stored in the i-th multi_hog array 83 * @param[in] border_mode Border mode to use. 84 * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. 85 * @param[in] threshold (Optional) Threshold for the distance between features and SVM classifying plane 86 * @param[in] non_maxima_suppression (Optional) Flag to specify whether the non-maxima suppression is required or not. 87 * True if the non-maxima suppression stage has to be computed 88 * @param[in] min_distance (Optional) Radial Euclidean distance to use for the non-maxima suppression stage 89 * 90 */ 91 void configure(ICLTensor *input, const ICLMultiHOG *multi_hog, ICLDetectionWindowArray *detection_windows, ICLSize2DArray *detection_window_strides, BorderMode border_mode, 92 uint8_t constant_border_value = 0, float threshold = 0.0f, bool non_maxima_suppression = false, float min_distance = 1.0f); 93 /** Initialise the function's source, destination, detection window strides, border mode, threshold and non-maxima suppression 94 * 95 * @param[in] compile_context The compile context to be used. 96 * @param[in, out] input Input tensor. Data type supported: U8 97 * (Written to only for @p border_mode != UNDEFINED) 98 * @param[in] multi_hog Container of multiple HOG data object. Each HOG data object describes one HOG model to detect. 99 * This container should store the HOG data-objects in descending or ascending cell_size width order. 100 * This will help to understand if the HOG descriptor computation can be skipped for some HOG data-objects 101 * @param[out] detection_windows Array of @ref DetectionWindow used for locating the detected objects 102 * @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 103 * The dimension of this array must be the same of multi_hog->num_models() 104 * The i-th detection_window_stride of this array must be multiple of the block_stride stored in the i-th multi_hog array 105 * @param[in] border_mode Border mode to use. 106 * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. 107 * @param[in] threshold (Optional) Threshold for the distance between features and SVM classifying plane 108 * @param[in] non_maxima_suppression (Optional) Flag to specify whether the non-maxima suppression is required or not. 109 * True if the non-maxima suppression stage has to be computed 110 * @param[in] min_distance (Optional) Radial Euclidean distance to use for the non-maxima suppression stage 111 * 112 */ 113 void configure(const CLCompileContext &compile_context, ICLTensor *input, const ICLMultiHOG *multi_hog, ICLDetectionWindowArray *detection_windows, ICLSize2DArray *detection_window_strides, 114 BorderMode border_mode, uint8_t constant_border_value = 0, float threshold = 0.0f, bool non_maxima_suppression = false, float min_distance = 1.0f); 115 116 // Inherited method overridden: 117 void run() override; 118 119 private: 120 MemoryGroup _memory_group; 121 CLHOGGradient _gradient_kernel; 122 std::vector<std::unique_ptr<CLHOGOrientationBinningKernel>> _orient_bin_kernel; 123 std::vector<std::unique_ptr<CLHOGBlockNormalizationKernel>> _block_norm_kernel; 124 std::vector<CLHOGDetector> _hog_detect_kernel; 125 CPPDetectionWindowNonMaximaSuppressionKernel _non_maxima_kernel; 126 std::vector<CLTensor> _hog_space; 127 std::vector<CLTensor> _hog_norm_space; 128 ICLDetectionWindowArray *_detection_windows; 129 CLTensor _mag; 130 CLTensor _phase; 131 bool _non_maxima_suppression; 132 size_t _num_orient_bin_kernel; 133 size_t _num_block_norm_kernel; 134 size_t _num_hog_detect_kernel; 135 }; 136 } 137 138 #endif /* ARM_COMPUTE_CLHOGMULTIDETECTION_H */ 139