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https://github.com/opencv/opencv.git
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ef5579dc86
* Cleanup macros and enable expansion of `__VA_ARGS__` for Visual Studio * Macros for enum-arguments backwards compatibility * Convert struct Param to enum struct * Enabled ParamType.type for enum types * Enabled `cv.read` and `cv.write` for enum types * Rename unnamed enum to AAKAZE.DescriptorType * Rename unnamed enum to AccessFlag * Rename unnamed enum to AgastFeatureDetector.DetectorType * Convert struct DrawMatchesFlags to enum struct * Rename unnamed enum to FastFeatureDetector.DetectorType * Rename unnamed enum to Formatter.FormatType * Rename unnamed enum to HOGDescriptor.HistogramNormType * Rename unnamed enum to DescriptorMatcher.MatcherType * Rename unnamed enum to KAZE.DiffusivityType * Rename unnamed enum to ORB.ScoreType * Rename unnamed enum to UMatData.MemoryFlag * Rename unnamed enum to _InputArray.KindFlag * Rename unnamed enum to _OutputArray.DepthMask * Convert normType enums to static const NormTypes * Avoid conflicts with ElemType * Rename unnamed enum to DescriptorStorageFormat
136 lines
5.1 KiB
C++
136 lines
5.1 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2017, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef OPENCV_FEATURES2D_HAL_REPLACEMENT_HPP
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#define OPENCV_FEATURES2D_HAL_REPLACEMENT_HPP
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#include "opencv2/core/hal/interface.h"
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#if defined __GNUC__
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# pragma GCC diagnostic push
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# pragma GCC diagnostic ignored "-Wunused-parameter"
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#elif defined _MSC_VER
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# pragma warning( push )
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# pragma warning( disable: 4100 )
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#endif
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//! @addtogroup features2d_hal_interface
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//! @note Define your functions to override default implementations:
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//! @code
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//! #undef hal_add8u
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//! #define hal_add8u my_add8u
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//! @endcode
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//! @{
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/**
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@brief Detects corners using the FAST algorithm, returns mask.
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@param src_data,src_step Source image
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@param dst_data,dst_step Destination mask
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@param width,height Source image dimensions
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@param type FAST type
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*/
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inline int hal_ni_FAST_dense(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height, cv::FastFeatureDetector::DetectorType type) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
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//! @cond IGNORED
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#define cv_hal_FAST_dense hal_ni_FAST_dense
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//! @endcond
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/**
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@brief Non-maximum suppression for FAST_9_16.
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@param src_data,src_step Source mask
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@param dst_data,dst_step Destination mask after NMS
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@param width,height Source mask dimensions
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*/
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inline int hal_ni_FAST_NMS(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int width, int height) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
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//! @cond IGNORED
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#define cv_hal_FAST_NMS hal_ni_FAST_NMS
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//! @endcond
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/**
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@brief Detects corners using the FAST algorithm.
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@param src_data,src_step Source image
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@param width,height Source image dimensions
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@param keypoints_data Pointer to keypoints
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@param keypoints_count Count of keypoints
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@param threshold Threshold for keypoint
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@param nonmax_suppression Indicates if make nonmaxima suppression or not.
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@param type FAST type
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*/
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inline int hal_ni_FAST(const uchar* src_data, size_t src_step, int width, int height, uchar* keypoints_data, size_t* keypoints_count, int threshold, bool nonmax_suppression, int /*cv::FastFeatureDetector::DetectorType*/ type) { return CV_HAL_ERROR_NOT_IMPLEMENTED; }
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//! @cond IGNORED
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#define cv_hal_FAST hal_ni_FAST
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//! @endcond
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//! @}
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#if defined __GNUC__
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# pragma GCC diagnostic pop
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#elif defined _MSC_VER
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# pragma warning( pop )
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#endif
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#include "custom_hal.hpp"
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//! @cond IGNORED
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#define CALL_HAL_RET(name, fun, retval, ...) \
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int res = __CV_EXPAND(fun(__VA_ARGS__, &retval)); \
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if (res == CV_HAL_ERROR_OK) \
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return retval; \
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else if (res != CV_HAL_ERROR_NOT_IMPLEMENTED) \
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CV_Error_(cv::Error::StsInternal, \
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("HAL implementation " CVAUX_STR(name) " ==> " CVAUX_STR(fun) " returned %d (0x%08x)", res, res));
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#define CALL_HAL(name, fun, ...) \
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{ \
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int res = __CV_EXPAND(fun(__VA_ARGS__)); \
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if (res == CV_HAL_ERROR_OK) \
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return; \
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else if (res != CV_HAL_ERROR_NOT_IMPLEMENTED) \
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CV_Error_(cv::Error::StsInternal, \
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("HAL implementation " CVAUX_STR(name) " ==> " CVAUX_STR(fun) " returned %d (0x%08x)", res, res)); \
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}
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//! @endcond
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#endif
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