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1c28a98b34
FastCV-based HAL for OpenCV acceleration 2ndpost-1 #26617 ### Detailed description: - Add parallel support for cv_hal_sobel - Add cv_hal_gaussianBlurBinomial and parallel support. - Add cv_hal_addWeighted8u and parallel support - Add cv_hal_warpPerspective and parallel support Requires binary from [opencv/opencv_3rdparty#90](https://github.com/opencv/opencv_3rdparty/pull/90) Related patch to opencv_contrib: [opencv/opencv_contrib#3844](https://github.com/opencv/opencv_contrib/pull/3844) ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
221 lines
8.8 KiB
C++
221 lines
8.8 KiB
C++
/*
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* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*/
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#ifndef OPENCV_FASTCV_HAL_IMGPROC_HPP_INCLUDED
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#define OPENCV_FASTCV_HAL_IMGPROC_HPP_INCLUDED
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#include <opencv2/core/base.hpp>
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#undef cv_hal_medianBlur
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#define cv_hal_medianBlur fastcv_hal_medianBlur
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#undef cv_hal_sobel
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#define cv_hal_sobel fastcv_hal_sobel
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#undef cv_hal_boxFilter
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#define cv_hal_boxFilter fastcv_hal_boxFilter
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#undef cv_hal_adaptiveThreshold
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#define cv_hal_adaptiveThreshold fastcv_hal_adaptiveThreshold
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#undef cv_hal_gaussianBlurBinomial
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#define cv_hal_gaussianBlurBinomial fastcv_hal_gaussianBlurBinomial
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#undef cv_hal_warpPerspective
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#define cv_hal_warpPerspective fastcv_hal_warpPerspective
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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/// @brief Calculate medianBlur filter
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/// @param src_data Source image data
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/// @param src_step Source image step
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/// @param dst_data Destination image data
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/// @param dst_step Destination image step
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/// @param width Source image width
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/// @param height Source image height
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/// @param depth Depths of source and destination image
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/// @param cn Number of channels
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/// @param ksize Size of kernel
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_medianBlur(
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const uchar* src_data,
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size_t src_step,
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uchar* dst_data,
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size_t dst_step,
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int width,
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int height,
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int depth,
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int cn,
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int ksize);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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/// @brief Computes Sobel derivatives
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///
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/// @param src_data Source image data
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/// @param src_step Source image step
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/// @param dst_data Destination image data
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/// @param dst_step Destination image step
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/// @param width Source image width
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/// @param height Source image height
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/// @param src_depth Depth of source image
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/// @param dst_depth Depths of destination image
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/// @param cn Number of channels
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/// @param margin_left Left margins for source image
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/// @param margin_top Top margins for source image
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/// @param margin_right Right margins for source image
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/// @param margin_bottom Bottom margins for source image
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/// @param dx orders of the derivative x
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/// @param dy orders of the derivative y
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/// @param ksize Size of kernel
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/// @param scale Scale factor for the computed derivative values
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/// @param delta Delta value that is added to the results prior to storing them in dst
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/// @param border_type Border type
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_sobel(
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const uchar* src_data,
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size_t src_step,
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uchar* dst_data,
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size_t dst_step,
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int width,
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int height,
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int src_depth,
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int dst_depth,
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int cn,
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int margin_left,
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int margin_top,
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int margin_right,
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int margin_bottom,
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int dx,
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int dy,
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int ksize,
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double scale,
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double delta,
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int border_type);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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/// @brief Canny edge detector
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/// @param src_data Source image data
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/// @param src_step Source image step
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/// @param dst_data Destination image data
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/// @param dst_step Destination image step
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/// @param width Source image width
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/// @param height Source image height
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/// @param cn Number of channels
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/// @param lowThreshold low thresholds value
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/// @param highThreshold high thresholds value
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/// @param ksize Kernel size for Sobel operator.
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/// @param L2gradient Flag, indicating use L2 or L1 norma.
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_canny(
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const uchar* src_data,
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size_t src_step,
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uchar* dst_data,
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size_t dst_step,
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int width,
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int height,
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int cn,
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double lowThreshold,
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double highThreshold,
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int ksize,
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bool L2gradient);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_boxFilter(
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const uchar* src_data,
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size_t src_step,
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uchar* dst_data,
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size_t dst_step,
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int width,
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int height,
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int src_depth,
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int dst_depth,
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int cn,
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int margin_left,
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int margin_top,
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int margin_right,
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int margin_bottom,
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size_t ksize_width,
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size_t ksize_height,
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int anchor_x,
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int anchor_y,
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bool normalize,
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int border_type);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_adaptiveThreshold(
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const uchar* src_data,
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size_t src_step,
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uchar* dst_data,
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size_t dst_step,
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int width,
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int height,
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double maxValue,
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int adaptiveMethod,
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int thresholdType,
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int blockSize,
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double C);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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/// @brief Blurs an image using a Gaussian filter.
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/// @param src_data Source image data
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/// @param src_step Source image step
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/// @param dst_data Destination image data
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/// @param dst_step Destination image step
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/// @param width Source image width
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/// @param height Source image height
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/// @param depth Depth of source and destination image
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/// @param cn Number of channels
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/// @param margin_left Left margins for source image
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/// @param margin_top Top margins for source image
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/// @param margin_right Right margins for source image
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/// @param margin_bottom Bottom margins for source image
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/// @param ksize Kernel size
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/// @param border_type Border type
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_gaussianBlurBinomial(
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const uchar* src_data,
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size_t src_step,
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uchar* dst_data,
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size_t dst_step,
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int width,
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int height,
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int depth,
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int cn,
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size_t margin_left,
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size_t margin_top,
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size_t margin_right,
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size_t margin_bottom,
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size_t ksize,
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int border_type);
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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/// @brief Applies a perspective transformation to an image.
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///
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/// @param src_type Source and destination image type
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/// @param src_data Source image data
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/// @param src_step Source image step
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/// @param src_width Source image width
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/// @param src_height Source image height
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/// @param dst_data Destination image data
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/// @param dst_step Destination image step
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/// @param dst_width Destination image width
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/// @param dst_height Destination image height
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/// @param M 3x3 matrix with transform coefficients
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/// @param interpolation Interpolation mode (CV_HAL_INTER_NEAREST, ...)
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/// @param border_type Border processing mode (CV_HAL_BORDER_REFLECT, ...)
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/// @param border_value Values to use for CV_HAL_BORDER_CONSTANT mode
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////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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int fastcv_hal_warpPerspective(
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int src_type,
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const uchar* src_data,
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size_t src_step,
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int src_width,
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int src_height,
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uchar* dst_data,
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size_t dst_step,
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int dst_width,
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int dst_height,
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const double M[9],
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int interpolation,
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int border_type,
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const double border_value[4]);
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#endif
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