/* * Copyright (c) 2016-2019 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_CLHARRISCORNERSKERNEL_H #define ARM_COMPUTE_CLHARRISCORNERSKERNEL_H #include "arm_compute/core/CL/ICLKernel.h" #include namespace arm_compute { class ICLTensor; using ICLImage = ICLTensor; /** Interface for the harris score kernel. * * @note The implementation supports 3, 5, and 7 for the block_size. */ class CLHarrisScoreKernel : public ICLKernel { public: /** Default constructor */ CLHarrisScoreKernel(); /** Prevent instances of this class from being copied (As this class contains pointers) */ CLHarrisScoreKernel(const CLHarrisScoreKernel &) = delete; /** Prevent instances of this class from being copied (As this class contains pointers) */ CLHarrisScoreKernel &operator=(const CLHarrisScoreKernel &) = delete; /** Allow instances of this class to be moved */ CLHarrisScoreKernel(CLHarrisScoreKernel &&) = default; /** Allow instances of this class to be moved */ CLHarrisScoreKernel &operator=(CLHarrisScoreKernel &&) = default; /** Default destructor */ ~CLHarrisScoreKernel() = default; /** Setup the kernel parameters * * @param[in] input1 Source image (gradient X). Data types supported S16, S32. (Must be the same as input2) * @param[in] input2 Source image (gradient Y). Data types supported S16, S32. (Must be the same as input1) * @param[out] output Destination image (harris score). Data types supported F32 * @param[in] block_size The block window size used to compute the Harris Corner score. Supports: 3, 5 and 7 * @param[in] norm_factor Normalization factor to use accordingly with the gradient size (Must be different from 0) * @param[in] strength_thresh Minimum threshold with which to eliminate Harris Corner scores (computed using the normalized Sobel kernel). * @param[in] sensitivity Sensitivity threshold k from the Harris-Stephens equation. * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant. */ void configure(const ICLImage *input1, const ICLImage *input2, ICLImage *output, int32_t block_size, float norm_factor, float strength_thresh, float sensitivity, bool border_undefined); // Inherited methods overridden: void run(const Window &window, cl::CommandQueue &queue) override; BorderSize border_size() const override; protected: const ICLImage *_input1; /**< Source image - Gx component */ const ICLImage *_input2; /**< Source image - Gy component */ ICLImage *_output; /**< Source image - Harris score */ float _sensitivity; /**< Sensitivity value */ float _strength_thresh; /**< Threshold value */ float _norm_factor; /**< Normalization factor */ BorderSize _border_size; /**< Border size */ }; } // namespace arm_compute #endif /* ARM_COMPUTE_CLHARRISCORNERSKERNEL_H */