mirror of
https://github.com/librempeg/librempeg
synced 2024-11-21 16:44:05 +00:00
remove obsolete opencv filter wrapper
This commit is contained in:
Paul B Mahol
parent
408b71ede4
commit
a8b4e3681c
@ -18,6 +18,7 @@ version <next>:
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- removed DEC Alpha DSP and support code
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- perlin video source filter
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- YUV colorspace negotiation for codecs and filters, obsoleting YUVJ
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- removed ocv filter wrapper
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version 7.0:
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- DXV DXT1 encoder
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8
configure
vendored
8
configure
vendored
@ -251,7 +251,6 @@ External library support:
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--enable-libmp3lame enable MP3 encoding via libmp3lame [no]
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--enable-libopencore-amrnb enable AMR-NB de/encoding via libopencore-amrnb [no]
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--enable-libopencore-amrwb enable AMR-WB decoding via libopencore-amrwb [no]
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--enable-libopencv enable video filtering via libopencv [no]
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--enable-libopenh264 enable H.264 encoding via OpenH264 [no]
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--enable-libopenjpeg enable JPEG 2000 encoding via OpenJPEG [no]
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--enable-libopenmpt enable decoding tracked files via libopenmpt [no]
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@ -1931,7 +1930,6 @@ EXTERNAL_LIBRARY_LIST="
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libmodplug
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libmp3lame
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libmysofa
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libopencv
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libopenh264
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libopenjpeg
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libopenmpt
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@ -2287,7 +2285,6 @@ HEADERS_LIST="
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machine_ioctl_bt848_h
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machine_ioctl_meteor_h
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malloc_h
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opencv2_core_core_c_h
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OpenGL_gl3_h
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poll_h
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pthread_np_h
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@ -3893,7 +3890,6 @@ nlmeans_opencl_filter_deps="opencl"
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nlmeans_vulkan_filter_deps="vulkan spirv_compiler"
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nnedi_filter_deps="gpl"
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ocr_filter_deps="libtesseract"
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ocv_filter_deps="libopencv"
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openclsrc_filter_deps="opencl"
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overlay_opencl_filter_deps="opencl"
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overlay_qsv_filter_deps="libmfx"
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@ -6944,10 +6940,6 @@ enabled libnpp && { check_lib libnpp npp.h nppGetLibVersion -lnppig -
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die "ERROR: libnpp not found"; }
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enabled libopencore_amrnb && require libopencore_amrnb opencore-amrnb/interf_dec.h Decoder_Interface_init -lopencore-amrnb
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enabled libopencore_amrwb && require libopencore_amrwb opencore-amrwb/dec_if.h D_IF_init -lopencore-amrwb
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enabled libopencv && { check_headers opencv2/core/core_c.h &&
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{ check_pkg_config libopencv opencv opencv2/core/core_c.h cvCreateImageHeader ||
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require libopencv opencv2/core/core_c.h cvCreateImageHeader -lopencv_core -lopencv_imgproc; } ||
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require_pkg_config libopencv opencv opencv/cxcore.h cvCreateImageHeader; }
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enabled libopenh264 && require_pkg_config libopenh264 "openh264 >= 1.3.0" wels/codec_api.h WelsGetCodecVersion
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enabled libopenjpeg && { check_pkg_config libopenjpeg "libopenjp2 >= 2.1.0" openjpeg.h opj_version ||
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{ require_pkg_config libopenjpeg "libopenjp2 >= 2.1.0" openjpeg.h opj_version -DOPJ_STATIC && add_cppflags -DOPJ_STATIC; } }
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104
doc/filters.texi
104
doc/filters.texi
@ -18641,110 +18641,6 @@ Set character blacklist.
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The filter exports recognized text as the frame metadata @code{lavfi.ocr.text}.
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The filter exports confidence of recognized words as the frame metadata @code{lavfi.ocr.confidence}.
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@section ocv
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Apply a video transform using libopencv.
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To enable this filter, install the libopencv library and headers and
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configure FFmpeg with @code{--enable-libopencv}.
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It accepts the following parameters:
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@table @option
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@item filter_name
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The name of the libopencv filter to apply.
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@item filter_params
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The parameters to pass to the libopencv filter. If not specified, the default
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values are assumed.
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@end table
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Refer to the official libopencv documentation for more precise
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information:
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@url{http://docs.opencv.org/master/modules/imgproc/doc/filtering.html}
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Several libopencv filters are supported; see the following subsections.
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@anchor{dilate}
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@subsection dilate
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Dilate an image by using a specific structuring element.
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It corresponds to the libopencv function @code{cvDilate}.
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It accepts the parameters: @var{struct_el}|@var{nb_iterations}.
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@var{struct_el} represents a structuring element, and has the syntax:
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@var{cols}x@var{rows}+@var{anchor_x}x@var{anchor_y}/@var{shape}
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@var{cols} and @var{rows} represent the number of columns and rows of
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the structuring element, @var{anchor_x} and @var{anchor_y} the anchor
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point, and @var{shape} the shape for the structuring element. @var{shape}
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must be "rect", "cross", "ellipse", or "custom".
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If the value for @var{shape} is "custom", it must be followed by a
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string of the form "=@var{filename}". The file with name
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@var{filename} is assumed to represent a binary image, with each
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printable character corresponding to a bright pixel. When a custom
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@var{shape} is used, @var{cols} and @var{rows} are ignored, the number
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or columns and rows of the read file are assumed instead.
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The default value for @var{struct_el} is "3x3+0x0/rect".
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@var{nb_iterations} specifies the number of times the transform is
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applied to the image, and defaults to 1.
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Some examples:
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@example
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# Use the default values
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ocv=dilate
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# Dilate using a structuring element with a 5x5 cross, iterating two times
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ocv=filter_name=dilate:filter_params=5x5+2x2/cross|2
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# Read the shape from the file diamond.shape, iterating two times.
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# The file diamond.shape may contain a pattern of characters like this
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# *
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# ***
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# *****
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# ***
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# *
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# The specified columns and rows are ignored
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# but the anchor point coordinates are not
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ocv=dilate:0x0+2x2/custom=diamond.shape|2
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@end example
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@subsection erode
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Erode an image by using a specific structuring element.
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It corresponds to the libopencv function @code{cvErode}.
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It accepts the parameters: @var{struct_el}:@var{nb_iterations},
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with the same syntax and semantics as the @ref{dilate} filter.
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@subsection smooth
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Smooth the input video.
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The filter takes the following parameters:
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@var{type}|@var{param1}|@var{param2}|@var{param3}|@var{param4}.
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@var{type} is the type of smooth filter to apply, and must be one of
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the following values: "blur", "blur_no_scale", "median", "gaussian",
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or "bilateral". The default value is "gaussian".
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The meaning of @var{param1}, @var{param2}, @var{param3}, and @var{param4}
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depends on the smooth type. @var{param1} and
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@var{param2} accept integer positive values or 0. @var{param3} and
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@var{param4} accept floating point values.
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The default value for @var{param1} is 3. The default value for the
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other parameters is 0.
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These parameters correspond to the parameters assigned to the
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libopencv function @code{cvSmooth}.
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@section oscilloscope
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2D Video Oscilloscope.
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@ -427,7 +427,6 @@ OBJS-$(CONFIG_NOISE_FILTER) += vf_noise.o
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OBJS-$(CONFIG_NORMALIZE_FILTER) += vf_normalize.o
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OBJS-$(CONFIG_NULL_FILTER) += vf_null.o
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OBJS-$(CONFIG_OCR_FILTER) += vf_ocr.o
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OBJS-$(CONFIG_OCV_FILTER) += vf_libopencv.o
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OBJS-$(CONFIG_OSCILLOSCOPE_FILTER) += vf_datascope.o
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OBJS-$(CONFIG_OVERLAY_FILTER) += vf_overlay.o framesync.o
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OBJS-$(CONFIG_OVERLAY_CUDA_FILTER) += vf_overlay_cuda.o framesync.o vf_overlay_cuda.ptx.o \
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@ -404,7 +404,6 @@ extern const AVFilter ff_vf_noise;
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extern const AVFilter ff_vf_normalize;
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extern const AVFilter ff_vf_null;
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extern const AVFilter ff_vf_ocr;
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extern const AVFilter ff_vf_ocv;
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extern const AVFilter ff_vf_oscilloscope;
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extern const AVFilter ff_vf_overlay;
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extern const AVFilter ff_vf_overlay_opencl;
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@ -1,428 +0,0 @@
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/*
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* Copyright (c) 2010 Stefano Sabatini
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*
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* This file is part of FFmpeg.
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*
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* FFmpeg is free software; you can redistribute it and/or
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* modify it under the terms of the GNU Lesser General Public
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* License as published by the Free Software Foundation; either
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* version 2.1 of the License, or (at your option) any later version.
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*
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* FFmpeg is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public
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* License along with FFmpeg; if not, write to the Free Software
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* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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/**
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* @file
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* libopencv wrapper functions
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*/
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#include "config.h"
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#if HAVE_OPENCV2_CORE_CORE_C_H
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#include <opencv2/core/core_c.h>
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#include <opencv2/imgproc/imgproc_c.h>
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#else
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#include <opencv/cv.h>
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#include <opencv/cxcore.h>
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#endif
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#include "libavutil/avstring.h"
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#include "libavutil/common.h"
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#include "libavutil/file.h"
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#include "libavutil/mem.h"
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#include "libavutil/opt.h"
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#include "avfilter.h"
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#include "filters.h"
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#include "formats.h"
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#include "video.h"
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static void fill_iplimage_from_frame(IplImage *img, const AVFrame *frame, enum AVPixelFormat pixfmt)
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{
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IplImage *tmpimg;
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int depth, channels_nb;
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if (pixfmt == AV_PIX_FMT_GRAY8) { depth = IPL_DEPTH_8U; channels_nb = 1; }
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else if (pixfmt == AV_PIX_FMT_BGRA) { depth = IPL_DEPTH_8U; channels_nb = 4; }
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else if (pixfmt == AV_PIX_FMT_BGR24) { depth = IPL_DEPTH_8U; channels_nb = 3; }
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else return;
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tmpimg = cvCreateImageHeader((CvSize){frame->width, frame->height}, depth, channels_nb);
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*img = *tmpimg;
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img->imageData = img->imageDataOrigin = frame->data[0];
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img->dataOrder = IPL_DATA_ORDER_PIXEL;
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img->origin = IPL_ORIGIN_TL;
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img->widthStep = frame->linesize[0];
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}
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static void fill_frame_from_iplimage(AVFrame *frame, const IplImage *img, enum AVPixelFormat pixfmt)
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{
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frame->linesize[0] = img->widthStep;
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frame->data[0] = img->imageData;
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}
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typedef struct OCVContext {
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const AVClass *class;
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char *name;
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char *params;
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int (*init)(AVFilterContext *ctx, const char *args);
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void (*uninit)(AVFilterContext *ctx);
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void (*end_frame_filter)(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg);
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void *priv;
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} OCVContext;
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typedef struct SmoothContext {
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int type;
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int param1, param2;
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double param3, param4;
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} SmoothContext;
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static av_cold int smooth_init(AVFilterContext *ctx, const char *args)
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{
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OCVContext *s = ctx->priv;
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SmoothContext *smooth = s->priv;
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char type_str[128] = "gaussian";
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smooth->param1 = 3;
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smooth->param2 = 0;
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smooth->param3 = 0.0;
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smooth->param4 = 0.0;
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if (args)
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sscanf(args, "%127[^|]|%d|%d|%lf|%lf", type_str, &smooth->param1, &smooth->param2, &smooth->param3, &smooth->param4);
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if (!strcmp(type_str, "blur" )) smooth->type = CV_BLUR;
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else if (!strcmp(type_str, "blur_no_scale")) smooth->type = CV_BLUR_NO_SCALE;
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else if (!strcmp(type_str, "median" )) smooth->type = CV_MEDIAN;
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else if (!strcmp(type_str, "gaussian" )) smooth->type = CV_GAUSSIAN;
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else if (!strcmp(type_str, "bilateral" )) smooth->type = CV_BILATERAL;
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else {
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av_log(ctx, AV_LOG_ERROR, "Smoothing type '%s' unknown.\n", type_str);
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return AVERROR(EINVAL);
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}
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if (smooth->param1 < 0 || !(smooth->param1%2)) {
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av_log(ctx, AV_LOG_ERROR,
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"Invalid value '%d' for param1, it has to be a positive odd number\n",
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smooth->param1);
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return AVERROR(EINVAL);
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}
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if ((smooth->type == CV_BLUR || smooth->type == CV_BLUR_NO_SCALE || smooth->type == CV_GAUSSIAN) &&
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(smooth->param2 < 0 || (smooth->param2 && !(smooth->param2%2)))) {
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av_log(ctx, AV_LOG_ERROR,
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"Invalid value '%d' for param2, it has to be zero or a positive odd number\n",
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smooth->param2);
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return AVERROR(EINVAL);
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}
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av_log(ctx, AV_LOG_VERBOSE, "type:%s param1:%d param2:%d param3:%f param4:%f\n",
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type_str, smooth->param1, smooth->param2, smooth->param3, smooth->param4);
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return 0;
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}
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static void smooth_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg)
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{
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OCVContext *s = ctx->priv;
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SmoothContext *smooth = s->priv;
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cvSmooth(inimg, outimg, smooth->type, smooth->param1, smooth->param2, smooth->param3, smooth->param4);
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}
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static int read_shape_from_file(int *cols, int *rows, int **values, const char *filename,
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void *log_ctx)
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{
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uint8_t *buf, *p, *pend;
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size_t size;
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int ret, i, j, w;
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if ((ret = av_file_map(filename, &buf, &size, 0, log_ctx)) < 0)
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return ret;
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/* prescan file to get the number of lines and the maximum width */
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w = 0;
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for (i = 0; i < size; i++) {
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if (buf[i] == '\n') {
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if (*rows == INT_MAX) {
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av_log(log_ctx, AV_LOG_ERROR, "Overflow on the number of rows in the file\n");
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ret = AVERROR_INVALIDDATA;
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goto end;
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}
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++(*rows);
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*cols = FFMAX(*cols, w);
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w = 0;
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} else if (w == INT_MAX) {
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av_log(log_ctx, AV_LOG_ERROR, "Overflow on the number of columns in the file\n");
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return AVERROR_INVALIDDATA;
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}
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w++;
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}
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if (*rows > (SIZE_MAX / sizeof(int) / *cols)) {
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av_log(log_ctx, AV_LOG_ERROR, "File with size %dx%d is too big\n",
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*rows, *cols);
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ret = AVERROR_INVALIDDATA;
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goto end;
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}
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if (!(*values = av_calloc(sizeof(int) * *rows, *cols))) {
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ret = AVERROR(ENOMEM);
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goto end;
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}
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/* fill *values */
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p = buf;
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pend = buf + size-1;
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for (i = 0; i < *rows; i++) {
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for (j = 0;; j++) {
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if (p > pend || *p == '\n') {
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p++;
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break;
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} else
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(*values)[*cols*i + j] = !!av_isgraph(*(p++));
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}
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}
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end:
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av_file_unmap(buf, size);
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#ifdef DEBUG
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{
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char *line;
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if (!(line = av_malloc(*cols + 1)))
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return AVERROR(ENOMEM);
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for (i = 0; i < *rows; i++) {
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for (j = 0; j < *cols; j++)
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line[j] = (*values)[i * *cols + j] ? '@' : ' ';
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line[j] = 0;
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av_log(log_ctx, AV_LOG_DEBUG, "%3d: %s\n", i, line);
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}
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av_free(line);
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}
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#endif
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return 0;
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}
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static int parse_iplconvkernel(IplConvKernel **kernel, char *buf, void *log_ctx)
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{
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char shape_filename[128] = "", shape_str[32] = "rect";
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int cols = 0, rows = 0, anchor_x = 0, anchor_y = 0, shape = CV_SHAPE_RECT;
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int *values = NULL, ret = 0;
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sscanf(buf, "%dx%d+%dx%d/%32[^=]=%127s", &cols, &rows, &anchor_x, &anchor_y, shape_str, shape_filename);
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if (!strcmp(shape_str, "rect" )) shape = CV_SHAPE_RECT;
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else if (!strcmp(shape_str, "cross" )) shape = CV_SHAPE_CROSS;
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else if (!strcmp(shape_str, "ellipse")) shape = CV_SHAPE_ELLIPSE;
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else if (!strcmp(shape_str, "custom" )) {
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shape = CV_SHAPE_CUSTOM;
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if ((ret = read_shape_from_file(&cols, &rows, &values, shape_filename, log_ctx)) < 0)
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return ret;
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} else {
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av_log(log_ctx, AV_LOG_ERROR,
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"Shape unspecified or type '%s' unknown.\n", shape_str);
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ret = AVERROR(EINVAL);
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goto out;
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}
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if (rows <= 0 || cols <= 0) {
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av_log(log_ctx, AV_LOG_ERROR,
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"Invalid non-positive values for shape size %dx%d\n", cols, rows);
|
||||
ret = AVERROR(EINVAL);
|
||||
goto out;
|
||||
}
|
||||
|
||||
if (anchor_x < 0 || anchor_y < 0 || anchor_x >= cols || anchor_y >= rows) {
|
||||
av_log(log_ctx, AV_LOG_ERROR,
|
||||
"Shape anchor %dx%d is not inside the rectangle with size %dx%d.\n",
|
||||
anchor_x, anchor_y, cols, rows);
|
||||
ret = AVERROR(EINVAL);
|
||||
goto out;
|
||||
}
|
||||
|
||||
*kernel = cvCreateStructuringElementEx(cols, rows, anchor_x, anchor_y, shape, values);
|
||||
if (!*kernel) {
|
||||
ret = AVERROR(ENOMEM);
|
||||
goto out;
|
||||
}
|
||||
|
||||
av_log(log_ctx, AV_LOG_VERBOSE, "Structuring element: w:%d h:%d x:%d y:%d shape:%s\n",
|
||||
rows, cols, anchor_x, anchor_y, shape_str);
|
||||
out:
|
||||
av_freep(&values);
|
||||
return ret;
|
||||
}
|
||||
|
||||
typedef struct DilateContext {
|
||||
int nb_iterations;
|
||||
IplConvKernel *kernel;
|
||||
} DilateContext;
|
||||
|
||||
static av_cold int dilate_init(AVFilterContext *ctx, const char *args)
|
||||
{
|
||||
OCVContext *s = ctx->priv;
|
||||
DilateContext *dilate = s->priv;
|
||||
char default_kernel_str[] = "3x3+0x0/rect";
|
||||
char *kernel_str = NULL;
|
||||
const char *buf = args;
|
||||
int ret;
|
||||
|
||||
if (args) {
|
||||
kernel_str = av_get_token(&buf, "|");
|
||||
|
||||
if (!kernel_str)
|
||||
return AVERROR(ENOMEM);
|
||||
}
|
||||
|
||||
ret = parse_iplconvkernel(&dilate->kernel,
|
||||
(!kernel_str || !*kernel_str) ? default_kernel_str
|
||||
: kernel_str,
|
||||
ctx);
|
||||
av_free(kernel_str);
|
||||
if (ret < 0)
|
||||
return ret;
|
||||
|
||||
if (!buf || sscanf(buf, "|%d", &dilate->nb_iterations) != 1)
|
||||
dilate->nb_iterations = 1;
|
||||
av_log(ctx, AV_LOG_VERBOSE, "iterations_nb:%d\n", dilate->nb_iterations);
|
||||
if (dilate->nb_iterations <= 0) {
|
||||
av_log(ctx, AV_LOG_ERROR, "Invalid non-positive value '%d' for nb_iterations\n",
|
||||
dilate->nb_iterations);
|
||||
return AVERROR(EINVAL);
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
static av_cold void dilate_uninit(AVFilterContext *ctx)
|
||||
{
|
||||
OCVContext *s = ctx->priv;
|
||||
DilateContext *dilate = s->priv;
|
||||
|
||||
cvReleaseStructuringElement(&dilate->kernel);
|
||||
}
|
||||
|
||||
static void dilate_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg)
|
||||
{
|
||||
OCVContext *s = ctx->priv;
|
||||
DilateContext *dilate = s->priv;
|
||||
cvDilate(inimg, outimg, dilate->kernel, dilate->nb_iterations);
|
||||
}
|
||||
|
||||
static void erode_end_frame_filter(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg)
|
||||
{
|
||||
OCVContext *s = ctx->priv;
|
||||
DilateContext *dilate = s->priv;
|
||||
cvErode(inimg, outimg, dilate->kernel, dilate->nb_iterations);
|
||||
}
|
||||
|
||||
typedef struct OCVFilterEntry {
|
||||
const char *name;
|
||||
size_t priv_size;
|
||||
int (*init)(AVFilterContext *ctx, const char *args);
|
||||
void (*uninit)(AVFilterContext *ctx);
|
||||
void (*end_frame_filter)(AVFilterContext *ctx, IplImage *inimg, IplImage *outimg);
|
||||
} OCVFilterEntry;
|
||||
|
||||
static const OCVFilterEntry ocv_filter_entries[] = {
|
||||
{ "dilate", sizeof(DilateContext), dilate_init, dilate_uninit, dilate_end_frame_filter },
|
||||
{ "erode", sizeof(DilateContext), dilate_init, dilate_uninit, erode_end_frame_filter },
|
||||
{ "smooth", sizeof(SmoothContext), smooth_init, NULL, smooth_end_frame_filter },
|
||||
};
|
||||
|
||||
static av_cold int init(AVFilterContext *ctx)
|
||||
{
|
||||
OCVContext *s = ctx->priv;
|
||||
int i;
|
||||
|
||||
if (!s->name) {
|
||||
av_log(ctx, AV_LOG_ERROR, "No libopencv filter name specified\n");
|
||||
return AVERROR(EINVAL);
|
||||
}
|
||||
for (i = 0; i < FF_ARRAY_ELEMS(ocv_filter_entries); i++) {
|
||||
const OCVFilterEntry *entry = &ocv_filter_entries[i];
|
||||
if (!strcmp(s->name, entry->name)) {
|
||||
s->init = entry->init;
|
||||
s->uninit = entry->uninit;
|
||||
s->end_frame_filter = entry->end_frame_filter;
|
||||
|
||||
if (!(s->priv = av_mallocz(entry->priv_size)))
|
||||
return AVERROR(ENOMEM);
|
||||
return s->init(ctx, s->params);
|
||||
}
|
||||
}
|
||||
|
||||
av_log(ctx, AV_LOG_ERROR, "No libopencv filter named '%s'\n", s->name);
|
||||
return AVERROR(EINVAL);
|
||||
}
|
||||
|
||||
static av_cold void uninit(AVFilterContext *ctx)
|
||||
{
|
||||
OCVContext *s = ctx->priv;
|
||||
|
||||
if (s->uninit)
|
||||
s->uninit(ctx);
|
||||
av_freep(&s->priv);
|
||||
}
|
||||
|
||||
static int filter_frame(AVFilterLink *inlink, AVFrame *in)
|
||||
{
|
||||
AVFilterContext *ctx = inlink->dst;
|
||||
OCVContext *s = ctx->priv;
|
||||
AVFilterLink *outlink= inlink->dst->outputs[0];
|
||||
AVFrame *out;
|
||||
IplImage inimg, outimg;
|
||||
|
||||
out = ff_get_video_buffer(outlink, outlink->w, outlink->h);
|
||||
if (!out) {
|
||||
av_frame_free(&in);
|
||||
return AVERROR(ENOMEM);
|
||||
}
|
||||
av_frame_copy_props(out, in);
|
||||
|
||||
fill_iplimage_from_frame(&inimg , in , inlink->format);
|
||||
fill_iplimage_from_frame(&outimg, out, inlink->format);
|
||||
s->end_frame_filter(ctx, &inimg, &outimg);
|
||||
fill_frame_from_iplimage(out, &outimg, inlink->format);
|
||||
|
||||
av_frame_free(&in);
|
||||
|
||||
return ff_filter_frame(outlink, out);
|
||||
}
|
||||
|
||||
#define OFFSET(x) offsetof(OCVContext, x)
|
||||
#define FLAGS AV_OPT_FLAG_VIDEO_PARAM | AV_OPT_FLAG_FILTERING_PARAM
|
||||
static const AVOption ocv_options[] = {
|
||||
{ "filter_name", NULL, OFFSET(name), AV_OPT_TYPE_STRING, .flags = FLAGS },
|
||||
{ "filter_params", NULL, OFFSET(params), AV_OPT_TYPE_STRING, .flags = FLAGS },
|
||||
{ NULL }
|
||||
};
|
||||
|
||||
AVFILTER_DEFINE_CLASS(ocv);
|
||||
|
||||
static const AVFilterPad ocv_inputs[] = {
|
||||
{
|
||||
.name = "default",
|
||||
.type = AVMEDIA_TYPE_VIDEO,
|
||||
.filter_frame = filter_frame,
|
||||
},
|
||||
};
|
||||
|
||||
static const AVFilterPad ocv_outputs[] = {
|
||||
{
|
||||
.name = "default",
|
||||
.type = AVMEDIA_TYPE_VIDEO,
|
||||
},
|
||||
};
|
||||
|
||||
const AVFilter ff_vf_ocv = {
|
||||
.name = "ocv",
|
||||
.description = NULL_IF_CONFIG_SMALL("Apply transform using libopencv."),
|
||||
.priv_size = sizeof(OCVContext),
|
||||
.priv_class = &ocv_class,
|
||||
.init = init,
|
||||
.uninit = uninit,
|
||||
FILTER_INPUTS(ocv_inputs),
|
||||
FILTER_OUTPUTS(ocv_outputs),
|
||||
FILTER_PIXFMTS(AV_PIX_FMT_BGR24, AV_PIX_FMT_BGRA, AV_PIX_FMT_GRAY8),
|
||||
};
|
||||
Loading…
Reference in New Issue
Block a user