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/*
* Copyright (c) 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_CLHOGDESCRIPTORKERNEL_H__
#define __ARM_COMPUTE_CLHOGDESCRIPTORKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
#include "arm_compute/core/IHOG.h"
#include "arm_compute/core/Size2D.h"
namespace arm_compute
{
class ITensor;
/** OpenCL kernel to perform HOG Orientation Binning */
class CLHOGOrientationBinningKernel : public ICLKernel
{
public:
/** Default constructor */
CLHOGOrientationBinningKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLHOGOrientationBinningKernel(const CLHOGOrientationBinningKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLHOGOrientationBinningKernel &operator=(const CLHOGOrientationBinningKernel &) = delete;
/** Allow instances of this class to be moved */
CLHOGOrientationBinningKernel(CLHOGOrientationBinningKernel &&) = default;
/** Allow instances of this class to be moved */
CLHOGOrientationBinningKernel &operator=(CLHOGOrientationBinningKernel &&) = default;
/** Default destructor */
~CLHOGOrientationBinningKernel() = default;
/** Initialise the kernel's inputs, output and HOG's metadata
*
* @param[in] input_magnitude Input tensor which stores the magnitude of the gradient for each pixel. Data type supported: S16.
* @param[in] input_phase Input tensor which stores the phase of the gradient for each pixel. Data type supported: U8
* @param[out] output Output tensor which stores the local HOG for each cell. DataType supported: F32. Number of channels supported: equal to the number of histogram bins per cell
* @param[in] hog_info HOG's metadata
*/
void configure(const ICLTensor *input_magnitude, const ICLTensor *input_phase, ICLTensor *output, const HOGInfo *hog_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input_magnitude;
const ICLTensor *_input_phase;
ICLTensor *_output;
Size2D _cell_size;
};
/** OpenCL kernel to perform HOG block normalization */
class CLHOGBlockNormalizationKernel : public ICLKernel
{
public:
/** Default constructor */
CLHOGBlockNormalizationKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLHOGBlockNormalizationKernel(const CLHOGBlockNormalizationKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLHOGBlockNormalizationKernel &operator=(const CLHOGBlockNormalizationKernel &) = delete;
/** Allow instances of this class to be moved */
CLHOGBlockNormalizationKernel(CLHOGBlockNormalizationKernel &&) = default;
/** Allow instances of this class to be moved */
CLHOGBlockNormalizationKernel &operator=(CLHOGBlockNormalizationKernel &&) = default;
/** Default destructor */
~CLHOGBlockNormalizationKernel() = default;
/** Initialise the kernel's input, output and HOG's metadata
*
* @param[in] input Input tensor which stores the local HOG for each cell. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per cell
* @param[out] output Output tensor which stores the normalised blocks. Data type supported: F32. Number of channels supported: equal to the number of histogram bins per block
* @param[in] hog_info HOG's metadata
*/
void configure(const ICLTensor *input, ICLTensor *output, const HOGInfo *hog_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
const ICLTensor *_input;
ICLTensor *_output;
Size2D _num_cells_per_block_stride;
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_CLHOGDESCRIPTORKERNEL_H__ */
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