1 /* 2 * Copyright (c) 2016-2020 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_NEHOGMULTIDETECTION_H 25 #define ARM_COMPUTE_NEHOGMULTIDETECTION_H 26 27 #include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h" 28 #include "arm_compute/core/IArray.h" 29 #include "arm_compute/core/IMultiHOG.h" 30 #include "arm_compute/runtime/IFunction.h" 31 #include "arm_compute/runtime/IMemoryManager.h" 32 #include "arm_compute/runtime/MemoryGroup.h" 33 #include "arm_compute/runtime/NEON/functions/NEHOGDetector.h" 34 #include "arm_compute/runtime/NEON/functions/NEHOGGradient.h" 35 #include "arm_compute/runtime/Tensor.h" 36 37 #include <memory> 38 39 namespace arm_compute 40 { 41 class NEHOGOrientationBinningKernel; 42 class NEHOGBlockNormalizationKernel; 43 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 NEON kernels: 45 * 46 * -# @ref NEHOGGradient 47 * -# @ref NEHOGOrientationBinningKernel 48 * -# @ref NEHOGBlockNormalizationKernel 49 * -# @ref NEHOGDetector 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 * @deprecated This function is deprecated and is intended to be removed in 21.05 release 58 * 59 */ 60 class NEHOGMultiDetection : public IFunction 61 { 62 public: 63 /** Default constructor */ 64 NEHOGMultiDetection(std::shared_ptr<IMemoryManager> memory_manager = nullptr); 65 /** Prevent instances of this class from being copied (As this class contains pointers) */ 66 NEHOGMultiDetection(const NEHOGMultiDetection &) = delete; 67 /** Prevent instances of this class from being moved (As this class contains pointers) */ 68 NEHOGMultiDetection(NEHOGMultiDetection &&) = delete; 69 /** Prevent instances of this class from being copied (As this class contains pointers) */ 70 NEHOGMultiDetection &operator=(const NEHOGMultiDetection &) = delete; 71 /** Prevent instances of this class from being moved (As this class contains pointers) */ 72 NEHOGMultiDetection &operator=(NEHOGMultiDetection &&) = delete; 73 /** Default destructor */ 74 ~NEHOGMultiDetection(); 75 /** Initialise the function's source, destination, detection window strides, border mode, threshold and non-maxima suppression 76 * 77 * @param[in, out] input Input tensor. Data type supported: U8 78 * (Written to only for @p border_mode != UNDEFINED) 79 * @param[in] multi_hog Container of multiple HOG data object. Each HOG data object describes one HOG model to detect. 80 * This container should store the HOG data-objects in descending or ascending cell_size width order. 81 * This will help to understand if the HOG descriptor computation can be skipped for some HOG data-objects 82 * @param[out] detection_windows Array of @ref DetectionWindow used for locating the detected objects 83 * @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 84 * The dimension of this array must be the same of multi_hog->num_models() 85 * The i-th detection_window_stride of this array must be multiple of the block_stride stored in the i-th multi_hog array 86 * @param[in] border_mode Border mode to use. 87 * @param[in] constant_border_value (Optional) Constant value to use for borders if border_mode is set to CONSTANT. 88 * @param[in] threshold (Optional) Threshold for the distance between features and SVM classifying plane 89 * @param[in] non_maxima_suppression (Optional) Flag to specify whether the non-maxima suppression is required or not. 90 * True if the non-maxima suppression stage has to be computed 91 * @param[in] min_distance (Optional) Radial Euclidean distance to use for the non-maxima suppression stage 92 * 93 */ 94 void configure(ITensor *input, const IMultiHOG *multi_hog, IDetectionWindowArray *detection_windows, const ISize2DArray *detection_window_strides, BorderMode border_mode, 95 uint8_t constant_border_value = 0, 96 float threshold = 0.0f, bool non_maxima_suppression = false, float min_distance = 1.0f); 97 98 // Inherited method overridden: 99 void run() override; 100 101 private: 102 MemoryGroup _memory_group; 103 NEHOGGradient _gradient_kernel; 104 std::vector<NEHOGOrientationBinningKernel> _orient_bin_kernel; 105 std::vector<NEHOGBlockNormalizationKernel> _block_norm_kernel; 106 std::vector<NEHOGDetector> _hog_detect_kernel; 107 CPPDetectionWindowNonMaximaSuppressionKernel _non_maxima_kernel; 108 std::vector<Tensor> _hog_space; 109 std::vector<Tensor> _hog_norm_space; 110 IDetectionWindowArray *_detection_windows; 111 Tensor _mag; 112 Tensor _phase; 113 bool _non_maxima_suppression; 114 size_t _num_orient_bin_kernel; 115 size_t _num_block_norm_kernel; 116 size_t _num_hog_detect_kernel; 117 }; 118 } // namespace arm_compute 119 #endif /* ARM_COMPUTE_NEHOGMULTIDETECTION_H */ 120