All that remains in it are things that belong in avfilter_internal.h. Move them there and remove internal.h
		
			
				
	
	
		
			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 "filters.h"
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#include "formats.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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