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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLHOGMultiDetection.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLHOGMultiDetection.h | 131 |
1 files changed, 0 insertions, 131 deletions
diff --git a/arm_compute/runtime/CL/functions/CLHOGMultiDetection.h b/arm_compute/runtime/CL/functions/CLHOGMultiDetection.h deleted file mode 100644 index 3d22ff69ee..0000000000 --- a/arm_compute/runtime/CL/functions/CLHOGMultiDetection.h +++ /dev/null @@ -1,131 +0,0 @@ -/* - * Copyright (c) 2017-2020 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_CLHOGMULTIDETECTION_H -#define ARM_COMPUTE_CLHOGMULTIDETECTION_H - -#include "arm_compute/core/CL/ICLArray.h" -#include "arm_compute/core/CL/ICLMultiHOG.h" -#include "arm_compute/core/CL/kernels/CLHOGDescriptorKernel.h" -#include "arm_compute/core/CPP/kernels/CPPDetectionWindowNonMaximaSuppressionKernel.h" -#include "arm_compute/runtime/CL/CLTensor.h" -#include "arm_compute/runtime/CL/functions/CLHOGDetector.h" -#include "arm_compute/runtime/CL/functions/CLHOGGradient.h" -#include "arm_compute/runtime/IFunction.h" -#include "arm_compute/runtime/IMemoryManager.h" -#include "arm_compute/runtime/MemoryGroup.h" - -#include <memory> - -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 kernels: - * - * -# @ref CLHOGGradient - * -# @ref CLHOGOrientationBinningKernel - * -# @ref CLHOGBlockNormalizationKernel - * -# @ref CLHOGDetector - * -# @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 CLHOGMultiDetection : public IFunction -{ -public: - /** Default constructor */ - CLHOGMultiDetection(std::shared_ptr<IMemoryManager> memory_manager = nullptr); - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLHOGMultiDetection(const CLHOGMultiDetection &) = delete; - /** Prevent instances of this class from being copied (As this class contains pointers) */ - CLHOGMultiDetection &operator=(const CLHOGMultiDetection &) = 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(ICLTensor *input, const ICLMultiHOG *multi_hog, ICLDetectionWindowArray *detection_windows, ICLSize2DArray *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); - /** Initialise the function's source, destination, detection window strides, border mode, threshold and non-maxima suppression - * - * @param[in] compile_context The compile context to be used. - * @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(const CLCompileContext &compile_context, ICLTensor *input, const ICLMultiHOG *multi_hog, ICLDetectionWindowArray *detection_windows, ICLSize2DArray *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: - MemoryGroup _memory_group; - CLHOGGradient _gradient_kernel; - std::vector<CLHOGOrientationBinningKernel> _orient_bin_kernel; - std::vector<CLHOGBlockNormalizationKernel> _block_norm_kernel; - std::vector<CLHOGDetector> _hog_detect_kernel; - CPPDetectionWindowNonMaximaSuppressionKernel _non_maxima_kernel; - std::vector<CLTensor> _hog_space; - std::vector<CLTensor> _hog_norm_space; - ICLDetectionWindowArray *_detection_windows; - CLTensor _mag; - CLTensor _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_CLHOGMULTIDETECTION_H */
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