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https://github.com/FFmpeg/FFmpeg.git
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790f793844
There are lots of files that don't need it: The number of object files that actually need it went down from 2011 to 884 here. Keep it for external users in order to not cause breakages. Also improve the other headers a bit while just at it. Signed-off-by: Andreas Rheinhardt <andreas.rheinhardt@outlook.com>
367 lines
11 KiB
C
367 lines
11 KiB
C
/*
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* Copyright (c) 2017 Ronald S. Bultje <rsbultje@gmail.com>
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* Copyright (c) 2017 Ashish Pratap Singh <ashk43712@gmail.com>
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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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* Calculate VMAF Motion score.
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*/
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#include "libavutil/file_open.h"
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#include "libavutil/mem.h"
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#include "libavutil/opt.h"
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#include "libavutil/pixdesc.h"
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#include "avfilter.h"
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#include "formats.h"
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#include "internal.h"
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#include "video.h"
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#include "vmaf_motion.h"
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#define BIT_SHIFT 15
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static const float FILTER_5[5] = {
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0.054488685,
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0.244201342,
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0.402619947,
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0.244201342,
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0.054488685
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};
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typedef struct VMAFMotionContext {
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const AVClass *class;
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VMAFMotionData data;
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FILE *stats_file;
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char *stats_file_str;
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} VMAFMotionContext;
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#define OFFSET(x) offsetof(VMAFMotionContext, x)
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#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
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static const AVOption vmafmotion_options[] = {
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{"stats_file", "Set file where to store per-frame difference information", OFFSET(stats_file_str), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 0, FLAGS },
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{ NULL }
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};
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AVFILTER_DEFINE_CLASS(vmafmotion);
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static uint64_t image_sad(const uint16_t *img1, const uint16_t *img2, int w,
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int h, ptrdiff_t _img1_stride, ptrdiff_t _img2_stride)
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{
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ptrdiff_t img1_stride = _img1_stride / sizeof(*img1);
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ptrdiff_t img2_stride = _img2_stride / sizeof(*img2);
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uint64_t sum = 0;
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int i, j;
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for (i = 0; i < h; i++) {
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for (j = 0; j < w; j++) {
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sum += abs(img1[j] - img2[j]);
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}
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img1 += img1_stride;
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img2 += img2_stride;
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}
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return sum;
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}
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static void convolution_x(const uint16_t *filter, int filt_w, const uint16_t *src,
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uint16_t *dst, int w, int h, ptrdiff_t _src_stride,
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ptrdiff_t _dst_stride)
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{
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ptrdiff_t src_stride = _src_stride / sizeof(*src);
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ptrdiff_t dst_stride = _dst_stride / sizeof(*dst);
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int radius = filt_w / 2;
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int borders_left = radius;
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int borders_right = w - (filt_w - radius);
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int i, j, k;
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int sum = 0;
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for (i = 0; i < h; i++) {
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for (j = 0; j < borders_left; j++) {
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sum = 0;
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for (k = 0; k < filt_w; k++) {
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int j_tap = FFABS(j - radius + k);
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if (j_tap >= w) {
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j_tap = w - (j_tap - w + 1);
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}
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sum += filter[k] * src[i * src_stride + j_tap];
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}
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dst[i * dst_stride + j] = sum >> BIT_SHIFT;
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}
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for (j = borders_left; j < borders_right; j++) {
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int sum = 0;
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for (k = 0; k < filt_w; k++) {
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sum += filter[k] * src[i * src_stride + j - radius + k];
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}
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dst[i * dst_stride + j] = sum >> BIT_SHIFT;
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}
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for (j = borders_right; j < w; j++) {
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sum = 0;
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for (k = 0; k < filt_w; k++) {
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int j_tap = FFABS(j - radius + k);
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if (j_tap >= w) {
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j_tap = w - (j_tap - w + 1);
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}
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sum += filter[k] * src[i * src_stride + j_tap];
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}
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dst[i * dst_stride + j] = sum >> BIT_SHIFT;
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}
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}
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}
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#define conv_y_fn(type, bits) \
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static void convolution_y_##bits##bit(const uint16_t *filter, int filt_w, \
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const uint8_t *_src, uint16_t *dst, \
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int w, int h, ptrdiff_t _src_stride, \
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ptrdiff_t _dst_stride) \
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{ \
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const type *src = (const type *) _src; \
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ptrdiff_t src_stride = _src_stride / sizeof(*src); \
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ptrdiff_t dst_stride = _dst_stride / sizeof(*dst); \
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int radius = filt_w / 2; \
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int borders_top = radius; \
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int borders_bottom = h - (filt_w - radius); \
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int i, j, k; \
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int sum = 0; \
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\
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for (i = 0; i < borders_top; i++) { \
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for (j = 0; j < w; j++) { \
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sum = 0; \
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for (k = 0; k < filt_w; k++) { \
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int i_tap = FFABS(i - radius + k); \
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if (i_tap >= h) { \
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i_tap = h - (i_tap - h + 1); \
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} \
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sum += filter[k] * src[i_tap * src_stride + j]; \
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} \
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dst[i * dst_stride + j] = sum >> bits; \
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} \
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} \
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for (i = borders_top; i < borders_bottom; i++) { \
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for (j = 0; j < w; j++) { \
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sum = 0; \
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for (k = 0; k < filt_w; k++) { \
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sum += filter[k] * src[(i - radius + k) * src_stride + j]; \
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} \
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dst[i * dst_stride + j] = sum >> bits; \
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} \
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} \
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for (i = borders_bottom; i < h; i++) { \
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for (j = 0; j < w; j++) { \
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sum = 0; \
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for (k = 0; k < filt_w; k++) { \
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int i_tap = FFABS(i - radius + k); \
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if (i_tap >= h) { \
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i_tap = h - (i_tap - h + 1); \
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} \
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sum += filter[k] * src[i_tap * src_stride + j]; \
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} \
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dst[i * dst_stride + j] = sum >> bits; \
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} \
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} \
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}
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conv_y_fn(uint8_t, 8)
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conv_y_fn(uint16_t, 10)
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static void vmafmotiondsp_init(VMAFMotionDSPContext *dsp, int bpp) {
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dsp->convolution_x = convolution_x;
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dsp->convolution_y = bpp == 10 ? convolution_y_10bit : convolution_y_8bit;
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dsp->sad = image_sad;
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}
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double ff_vmafmotion_process(VMAFMotionData *s, AVFrame *ref)
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{
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double score;
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s->vmafdsp.convolution_y(s->filter, 5, ref->data[0], s->temp_data,
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s->width, s->height, ref->linesize[0], s->stride);
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s->vmafdsp.convolution_x(s->filter, 5, s->temp_data, s->blur_data[0],
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s->width, s->height, s->stride, s->stride);
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if (!s->nb_frames) {
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score = 0.0;
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} else {
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uint64_t sad = s->vmafdsp.sad(s->blur_data[1], s->blur_data[0],
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s->width, s->height, s->stride, s->stride);
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// the output score is always normalized to 8 bits
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score = (double) (sad * 1.0 / (s->width * s->height << (BIT_SHIFT - 8)));
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}
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FFSWAP(uint16_t *, s->blur_data[0], s->blur_data[1]);
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s->nb_frames++;
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s->motion_sum += score;
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return score;
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}
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static void set_meta(AVDictionary **metadata, const char *key, float d)
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{
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char value[128];
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snprintf(value, sizeof(value), "%0.2f", d);
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av_dict_set(metadata, key, value, 0);
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}
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static void do_vmafmotion(AVFilterContext *ctx, AVFrame *ref)
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{
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VMAFMotionContext *s = ctx->priv;
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double score;
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score = ff_vmafmotion_process(&s->data, ref);
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set_meta(&ref->metadata, "lavfi.vmafmotion.score", score);
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if (s->stats_file) {
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fprintf(s->stats_file,
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"n:%"PRId64" motion:%0.2lf\n", s->data.nb_frames, score);
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}
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}
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int ff_vmafmotion_init(VMAFMotionData *s,
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int w, int h, enum AVPixelFormat fmt)
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{
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size_t data_sz;
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int i;
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const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(fmt);
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if (w < 3 || h < 3)
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return AVERROR(EINVAL);
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s->width = w;
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s->height = h;
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s->stride = FFALIGN(w * sizeof(uint16_t), 32);
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data_sz = (size_t) s->stride * h;
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if (!(s->blur_data[0] = av_malloc(data_sz)) ||
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!(s->blur_data[1] = av_malloc(data_sz)) ||
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!(s->temp_data = av_malloc(data_sz))) {
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return AVERROR(ENOMEM);
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}
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for (i = 0; i < 5; i++) {
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s->filter[i] = lrint(FILTER_5[i] * (1 << BIT_SHIFT));
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}
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vmafmotiondsp_init(&s->vmafdsp, desc->comp[0].depth);
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return 0;
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}
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static int query_formats(AVFilterContext *ctx)
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{
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AVFilterFormats *fmts_list = NULL;
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int format, ret;
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for (format = 0; av_pix_fmt_desc_get(format); format++) {
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const AVPixFmtDescriptor *desc = av_pix_fmt_desc_get(format);
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if (!(desc->flags & (AV_PIX_FMT_FLAG_RGB | AV_PIX_FMT_FLAG_HWACCEL | AV_PIX_FMT_FLAG_BITSTREAM | AV_PIX_FMT_FLAG_PAL)) &&
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(desc->flags & AV_PIX_FMT_FLAG_PLANAR || desc->nb_components == 1) &&
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(!(desc->flags & AV_PIX_FMT_FLAG_BE) == !HAVE_BIGENDIAN || desc->comp[0].depth == 8) &&
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(desc->comp[0].depth == 8 || desc->comp[0].depth == 10) &&
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(ret = ff_add_format(&fmts_list, format)) < 0)
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return ret;
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}
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return ff_set_common_formats(ctx, fmts_list);
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}
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static int config_input_ref(AVFilterLink *inlink)
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{
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AVFilterContext *ctx = inlink->dst;
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VMAFMotionContext *s = ctx->priv;
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return ff_vmafmotion_init(&s->data, ctx->inputs[0]->w,
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ctx->inputs[0]->h, ctx->inputs[0]->format);
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}
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double ff_vmafmotion_uninit(VMAFMotionData *s)
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{
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av_free(s->blur_data[0]);
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av_free(s->blur_data[1]);
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av_free(s->temp_data);
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return s->nb_frames > 0 ? s->motion_sum / s->nb_frames : 0.0;
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}
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static int filter_frame(AVFilterLink *inlink, AVFrame *ref)
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{
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AVFilterContext *ctx = inlink->dst;
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do_vmafmotion(ctx, ref);
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return ff_filter_frame(ctx->outputs[0], ref);
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}
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static av_cold int init(AVFilterContext *ctx)
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{
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VMAFMotionContext *s = ctx->priv;
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if (s->stats_file_str) {
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if (!strcmp(s->stats_file_str, "-")) {
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s->stats_file = stdout;
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} else {
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s->stats_file = avpriv_fopen_utf8(s->stats_file_str, "w");
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if (!s->stats_file) {
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int err = AVERROR(errno);
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char buf[128];
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av_strerror(err, buf, sizeof(buf));
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av_log(ctx, AV_LOG_ERROR, "Could not open stats file %s: %s\n",
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s->stats_file_str, buf);
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return err;
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}
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}
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}
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return 0;
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}
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static av_cold void uninit(AVFilterContext *ctx)
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{
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VMAFMotionContext *s = ctx->priv;
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double avg_motion = ff_vmafmotion_uninit(&s->data);
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if (s->data.nb_frames > 0) {
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av_log(ctx, AV_LOG_INFO, "VMAF Motion avg: %.3f\n", avg_motion);
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}
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if (s->stats_file && s->stats_file != stdout)
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fclose(s->stats_file);
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}
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static const AVFilterPad vmafmotion_inputs[] = {
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{
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.name = "reference",
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.type = AVMEDIA_TYPE_VIDEO,
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.filter_frame = filter_frame,
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.config_props = config_input_ref,
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},
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};
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const AVFilter ff_vf_vmafmotion = {
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.name = "vmafmotion",
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.description = NULL_IF_CONFIG_SMALL("Calculate the VMAF Motion score."),
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.init = init,
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.uninit = uninit,
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.priv_size = sizeof(VMAFMotionContext),
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.priv_class = &vmafmotion_class,
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.flags = AVFILTER_FLAG_METADATA_ONLY,
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FILTER_INPUTS(vmafmotion_inputs),
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FILTER_OUTPUTS(ff_video_default_filterpad),
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FILTER_QUERY_FUNC(query_formats),
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};
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