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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h')
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1 files changed, 105 insertions, 0 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h b/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h new file mode 100644 index 0000000000..2d07e6435f --- /dev/null +++ b/arm_compute/runtime/NEON/functions/NEHOGMultiDetection.h @@ -0,0 +1,105 @@ +/* + * 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__ */ |