gx
dcecd42de4
Snapshot FFmpeg n7.1 (release tag) с применённым patch'ем для cuframes input format. Используется как FFMPEG_REPO_OVERRIDE в NickM-27/FFmpeg-Builds fork для статической сборки patched binary под Frigate (Debian 12 / glibc 2.36). Apply changes: + libavformat/cuframesdec.c (новый — реализация демуксера) M libavformat/Makefile (CONFIG_CUFRAMES_DEMUXER target) M libavformat/allformats.c (extern declaration) M configure (--enable-libcuframes option + dep check) Patch source: https://git.goldix.org/gx/cuframes (filter/ffmpeg-7.1-cuframes-demuxer.patch) History сброшена (snapshot вместо fork) потому что upstream shallow clone не позволял push в gitea. Полная история FFmpeg — на github.com/FFmpeg/FFmpeg n7.1.
65 lines
2.2 KiB
C
65 lines
2.2 KiB
C
/*
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* linear least squares model
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*
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* Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
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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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#ifndef AVUTIL_LLS_H
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#define AVUTIL_LLS_H
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#include "macros.h"
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#include "mem_internal.h"
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#define MAX_VARS 32
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#define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4)
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//FIXME avoid direct access to LLSModel from outside
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/**
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* Linear least squares model.
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*/
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typedef struct LLSModel {
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DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]);
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DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]);
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double variance[MAX_VARS];
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int indep_count;
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/**
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* Take the outer-product of var[] with itself, and add to the covariance matrix.
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* @param m this context
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* @param var training samples, starting with the value to be predicted
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* 32-byte aligned, and any padding elements must be initialized
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* (i.e not denormal/nan).
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*/
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void (*update_lls)(struct LLSModel *m, const double *var);
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/**
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* Inner product of var[] and the LPC coefs.
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* @param m this context
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* @param var training samples, excluding the value to be predicted. unaligned.
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* @param order lpc order
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*/
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double (*evaluate_lls)(struct LLSModel *m, const double *var, int order);
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} LLSModel;
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void avpriv_init_lls(LLSModel *m, int indep_count);
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void ff_init_lls_riscv(LLSModel *m);
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void ff_init_lls_x86(LLSModel *m);
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void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
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#endif /* AVUTIL_LLS_H */
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