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-/*
- * Copyright (c) 2016-2020 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_CLHARRISCORNERS_H
-#define ARM_COMPUTE_CLHARRISCORNERS_H
-
-#include "arm_compute/core/CL/ICLArray.h"
-#include "arm_compute/core/CPP/kernels/CPPCornerCandidatesKernel.h"
-#include "arm_compute/core/CPP/kernels/CPPSortEuclideanDistanceKernel.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CL/functions/CLNonMaximaSuppression3x3.h"
-#include "arm_compute/runtime/IFunction.h"
-#include "arm_compute/runtime/IMemoryManager.h"
-#include "arm_compute/runtime/MemoryGroup.h"
-#include <cstdint>
-#include <memory>
-
-namespace arm_compute
-{
-class CLCompileContext;
-class CLHarrisScoreKernel;
-class CLFillBorderKernel;
-class ICLTensor;
-using ICLImage = ICLTensor;
-
-/** Basic function to execute harris corners detection. This function calls the following CL and NEON kernels and functions:
- *
- * @note Requires CPU support for the kernels: CPPCornerCandidatesKernel and CPPSortEuclideanDistanceKernel.
- *
- * -# @ref CLSobel3x3 (if gradient_size == 3) or<br/>
- * @ref CLSobel5x5 (if gradient_size == 5) or<br/>
- * @ref CLSobel7x7 (if gradient_size == 7)
- * -# @ref CLFillBorderKernel
- * -# @ref CLHarrisScoreKernel
- * -# @ref CLNonMaximaSuppression3x3
- * -# @ref CPPCornerCandidatesKernel
- * -# @ref CPPSortEuclideanDistanceKernel
- *
- * @deprecated This function is deprecated and is intended to be removed in 21.05 release
- *
- */
-class CLHarrisCorners : public IFunction
-{
-public:
- /** Constructor */
- CLHarrisCorners(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLHarrisCorners(const CLHarrisCorners &) = delete;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- const CLHarrisCorners &operator=(const CLHarrisCorners &) = delete;
- /** Default destructor */
- ~CLHarrisCorners();
- /** Initialize the function's source, destination, conv and border_mode.
- *
- * @param[in,out] input Source image. Data types supported: U8. (Written to only for @p border_mode != UNDEFINED)
- * @param[in] threshold Minimum threshold with which to eliminate Harris Corner scores (computed using the normalized Sobel kernel).
- * @param[in] min_dist Radial Euclidean distance for the euclidean distance stage.
- * @param[in] sensitivity Sensitivity threshold k from the Harris-Stephens equation
- * @param[in] gradient_size The gradient window size to use on the input. The implementation supports 3, 5, and 7
- * @param[in] block_size The block window size used to compute the Harris Corner score. The implementation supports 3, 5, and 7.
- * @param[out] corners Array of keypoints to store the results.
- * @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] use_fp16 (Optional) If true the FP16 kernels will be used. If false F32 kernels are used.
- */
- void configure(ICLImage *input, float threshold, float min_dist, float sensitivity,
- int32_t gradient_size, int32_t block_size, ICLKeyPointArray *corners,
- BorderMode border_mode, uint8_t constant_border_value = 0, bool use_fp16 = false);
- /** Initialize the function's source, destination, conv and border_mode.
- *
- * @param[in] compile_context The compile context to be used.
- * @param[in,out] input Source image. Data types supported: U8. (Written to only for @p border_mode != UNDEFINED)
- * @param[in] threshold Minimum threshold with which to eliminate Harris Corner scores (computed using the normalized Sobel kernel).
- * @param[in] min_dist Radial Euclidean distance for the euclidean distance stage.
- * @param[in] sensitivity Sensitivity threshold k from the Harris-Stephens equation
- * @param[in] gradient_size The gradient window size to use on the input. The implementation supports 3, 5, and 7
- * @param[in] block_size The block window size used to compute the Harris Corner score. The implementation supports 3, 5, and 7.
- * @param[out] corners Array of keypoints to store the results.
- * @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] use_fp16 (Optional) If true the FP16 kernels will be used. If false F32 kernels are used.
- */
- void configure(const CLCompileContext &compile_context, ICLImage *input, float threshold, float min_dist, float sensitivity,
- int32_t gradient_size, int32_t block_size, ICLKeyPointArray *corners,
- BorderMode border_mode, uint8_t constant_border_value = 0, bool use_fp16 = false);
-
- // Inherited methods overridden:
- void run() override;
-
-private:
- MemoryGroup _memory_group; /**< Function's memory group */
- std::unique_ptr<IFunction> _sobel; /**< Sobel function */
- std::unique_ptr<CLHarrisScoreKernel> _harris_score; /**< Harris score kernel */
- CLNonMaximaSuppression3x3 _non_max_suppr; /**< Non-maxima suppression function */
- CPPCornerCandidatesKernel _candidates; /**< Sort kernel */
- CPPSortEuclideanDistanceKernel _sort_euclidean; /**< Euclidean distance kernel */
- std::unique_ptr<CLFillBorderKernel> _border_gx; /**< Border handler before running harris score */
- std::unique_ptr<CLFillBorderKernel> _border_gy; /**< Border handler before running harris score */
- CLImage _gx; /**< Source image - Gx component */
- CLImage _gy; /**< Source image - Gy component */
- CLImage _score; /**< Source image - Harris score */
- CLImage _nonmax; /**< Source image - Non-Maxima suppressed image */
- std::vector<InternalKeypoint> _corners_list; /**< Array of InternalKeypoint. It stores the potential corner candidates */
- int32_t _num_corner_candidates; /**< Number of potential corner candidates */
- ICLKeyPointArray *_corners; /**< Output corners array */
-};
-}
-#endif /*ARM_COMPUTE_CLHARRISCORNERS_H */