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/*
* 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_NEHOGDETECTORKERNEL_H__
#define __ARM_COMPUTE_NEHOGDETECTORKERNEL_H__
#include "arm_compute/core/IArray.h"
#include "arm_compute/core/IHOG.h"
#include "arm_compute/core/NEON/INEKernel.h"
#include "support/Mutex.h"
namespace arm_compute
{
class ITensor;
/** NEON kernel to perform HOG detector kernel using linear SVM */
class NEHOGDetectorKernel : public INEKernel
{
public:
/** Default constructor */
NEHOGDetectorKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEHOGDetectorKernel(const NEHOGDetectorKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEHOGDetectorKernel &operator=(const NEHOGDetectorKernel &) = delete;
/** Allow instances of this class to be moved */
NEHOGDetectorKernel(NEHOGDetectorKernel &&) = default;
/** Allow instances of this class to be moved */
NEHOGDetectorKernel &operator=(NEHOGDetectorKernel &&) = default;
/** Default destructor */
~NEHOGDetectorKernel() = default;
/** Initialise the kernel's input, HOG data-object, detection window, the stride of the detection window, the threshold and index of the object to detect
*
* @param[in] input Input tensor which stores the HOG descriptor obtained with @ref NEHOGOrientationBinningKernel. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per block
* @param[in] hog HOG data object used by @ref NEHOGOrientationBinningKernel and @ref NEHOGBlockNormalizationKernel
* @param[out] detection_windows Array of @ref DetectionWindow. This array stores all the detected objects
* @param[in] detection_window_stride Distance in pixels between 2 consecutive detection windows in x and y directions.
* It must be multiple of the hog->info()->block_stride()
* @param[in] threshold (Optional) Threshold for the distance between features and SVM classifying plane
* @param[in] idx_class (Optional) Index of the class used for evaluating which class the detection window belongs to
*/
void configure(const ITensor *input, const IHOG *hog, IDetectionWindowArray *detection_windows, const Size2D &detection_window_stride, float threshold = 0.0f, uint16_t idx_class = 0);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
private:
const ITensor *_input;
IDetectionWindowArray *_detection_windows;
const float *_hog_descriptor;
float _bias;
float _threshold;
uint16_t _idx_class;
size_t _num_bins_per_descriptor_x;
size_t _num_blocks_per_descriptor_y;
size_t _block_stride_width;
size_t _block_stride_height;
size_t _detection_window_width;
size_t _detection_window_height;
size_t _max_num_detection_windows;
arm_compute::Mutex _mutex;
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEHOGDETECTORKERNEL_H__ */