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PKGBUILDs/extra/ffmpeg/ffmpeg-vmaf2.x.patch

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extra/ffmpeg to 5.0-4
2022-02-17 19:42:21 +00:00
diff --git a/configure b/configure
index 94f513288a..493493b4c5 100755
--- a/configure
+++ b/configure
@@ -3751,7 +3751,7 @@ vaguedenoiser_filter_deps="gpl"
vflip_vulkan_filter_deps="vulkan spirv_compiler"
vidstabdetect_filter_deps="libvidstab"
vidstabtransform_filter_deps="libvidstab"
-libvmaf_filter_deps="libvmaf pthreads"
+libvmaf_filter_deps="libvmaf"
zmq_filter_deps="libzmq"
zoompan_filter_deps="swscale"
zscale_filter_deps="libzimg const_nan"
@@ -6626,7 +6626,7 @@ enabled libtwolame && require libtwolame twolame.h twolame_init -ltwolame
enabled libuavs3d && require_pkg_config libuavs3d "uavs3d >= 1.1.41" uavs3d.h uavs3d_decode
enabled libv4l2 && require_pkg_config libv4l2 libv4l2 libv4l2.h v4l2_ioctl
enabled libvidstab && require_pkg_config libvidstab "vidstab >= 0.98" vid.stab/libvidstab.h vsMotionDetectInit
-enabled libvmaf && require_pkg_config libvmaf "libvmaf >= 1.5.2" libvmaf.h compute_vmaf
+enabled libvmaf && require_pkg_config libvmaf "libvmaf >= 2.0.0" libvmaf.h vmaf_init
enabled libvo_amrwbenc && require libvo_amrwbenc vo-amrwbenc/enc_if.h E_IF_init -lvo-amrwbenc
enabled libvorbis && require_pkg_config libvorbis vorbis vorbis/codec.h vorbis_info_init &&
require_pkg_config libvorbisenc vorbisenc vorbis/vorbisenc.h vorbis_encode_init
diff --git a/doc/filters.texi b/doc/filters.texi
index 248c09caf8..9a890d1555 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -14666,68 +14666,60 @@ ffmpeg -i input.mov -vf lensfun=make=Canon:model="Canon EOS 100D":lens_model="Ca
@section libvmaf
-Obtain the VMAF (Video Multi-Method Assessment Fusion)
-score between two input videos.
+Calulate the VMAF (Video Multi-Method Assessment Fusion) score for a
+reference/distorted pair of input videos.
-The first input is the encoded video, and the second input is the reference video.
+The first input is the distorted video, and the second input is the reference video.
The obtained VMAF score is printed through the logging system.
It requires Netflix's vmaf library (libvmaf) as a pre-requisite.
After installing the library it can be enabled using:
@code{./configure --enable-libvmaf}.
-If no model path is specified it uses the default model: @code{vmaf_v0.6.1.pkl}.
The filter has following options:
@table @option
-@item model_path
-Set the model path which is to be used for SVM.
-Default value: @code{"/usr/local/share/model/vmaf_v0.6.1.pkl"}
-
-@item log_path
-Set the file path to be used to store logs.
+@item model
+A `|` delimited list of vmaf models. Each model can be configured with a number of parameters.
+Default value: @code{"version=vmaf_v0.6.1"}
-@item log_fmt
-Set the format of the log file (csv, json or xml).
+@item model_path
+Deprecated, use model='path=...'.
@item enable_transform
-This option can enable/disable the @code{score_transform} applied to the final predicted VMAF score,
-if you have specified score_transform option in the input parameter file passed to @code{run_vmaf_training.py}
-Default value: @code{false}
+Deprecated, use model='enable_transform=true'.
@item phone_model
-Invokes the phone model which will generate VMAF scores higher than in the
-regular model, which is more suitable for laptop, TV, etc. viewing conditions.
-Default value: @code{false}
+Deprecated, use model='enable_transform=true'.
+
+@item enable_conf_interval
+Deprecated, use model='enable_conf_interval=true'.
+
+@item feature
+A `|` delimited list of features. Each feature can be configured with a number of parameters.
@item psnr
-Enables computing psnr along with vmaf.
-Default value: @code{false}
+Deprecated, use feature='name=psnr'.
@item ssim
-Enables computing ssim along with vmaf.
-Default value: @code{false}
+Deprecated, use feature='name=ssim'.
@item ms_ssim
-Enables computing ms_ssim along with vmaf.
-Default value: @code{false}
+Deprecated, use feature='name=ms_ssim'.
-@item pool
-Set the pool method to be used for computing vmaf.
-Options are @code{min}, @code{harmonic_mean} or @code{mean} (default).
+@item log_path
+Set the file path to be used to store log files.
+
+@item log_fmt
+Set the format of the log file (xml, json, csv, or sub).
@item n_threads
-Set number of threads to be used when computing vmaf.
-Default value: @code{0}, which makes use of all available logical processors.
+Set number of threads to be used when initializing libvmaf.
+Default value: @code{0}, no threads.
@item n_subsample
-Set interval for frame subsampling used when computing vmaf.
-Default value: @code{1}
-
-@item enable_conf_interval
-Enables confidence interval.
-Default value: @code{false}
+Set frame subsampling interval to be used.
@end table
This filter also supports the @ref{framesync} options.
@@ -14735,23 +14727,31 @@ This filter also supports the @ref{framesync} options.
@subsection Examples
@itemize
@item
-On the below examples the input file @file{main.mpg} being processed is
-compared with the reference file @file{ref.mpg}.
+In the examples below, a distorted video @file{distorted.mpg} is
+compared with a reference file @file{reference.mpg}.
+@item
+Basic usage:
+@example
+ffmpeg -i distorted.mpg -i reference.mpg -lavfi libvmaf=log_path=output.xml -f null -
+@end example
+
+@item
+Example with multiple models:
@example
-ffmpeg -i main.mpg -i ref.mpg -lavfi libvmaf -f null -
+ffmpeg -i distorted.mpg -i reference.mpg -lavfi libvmaf='model=version=vmaf_v0.6.1\\:name=vmaf|version=vmaf_v0.6.1neg\\:name=vmaf_neg' -f null -
@end example
@item
-Example with options:
+Example with multiple addtional features:
@example
-ffmpeg -i main.mpg -i ref.mpg -lavfi libvmaf="psnr=1:log_fmt=json" -f null -
+ffmpeg -i distorted.mpg -i reference.mpg -lavfi libvmaf='feature=name=psnr|name=ciede' -f null -
@end example
@item
Example with options and different containers:
@example
-ffmpeg -i main.mpg -i ref.mkv -lavfi "[0:v]settb=AVTB,setpts=PTS-STARTPTS[main];[1:v]settb=AVTB,setpts=PTS-STARTPTS[ref];[main][ref]libvmaf=psnr=1:log_fmt=json" -f null -
+ffmpeg -i distorted.mpg -i reference.mkv -lavfi "[0:v]settb=AVTB,setpts=PTS-STARTPTS[main];[1:v]settb=AVTB,setpts=PTS-STARTPTS[ref];[main][ref]libvmaf=log_fmt=json:log_path=output.json" -f null -
@end example
@end itemize
diff --git a/libavfilter/vf_libvmaf.c b/libavfilter/vf_libvmaf.c
index 5d492126eb..eee1c280ef 100644
--- a/libavfilter/vf_libvmaf.c
+++ b/libavfilter/vf_libvmaf.c
@@ -24,8 +24,8 @@
* Calculate the VMAF between two input videos.
*/
-#include <pthread.h>
#include <libvmaf.h>
+
#include "libavutil/avstring.h"
#include "libavutil/opt.h"
#include "libavutil/pixdesc.h"
@@ -39,23 +39,9 @@
typedef struct LIBVMAFContext {
const AVClass *class;
FFFrameSync fs;
- const AVPixFmtDescriptor *desc;
- int width;
- int height;
- double vmaf_score;
- int vmaf_thread_created;
- pthread_t vmaf_thread;
- pthread_mutex_t lock;
- pthread_cond_t cond;
- int eof;
- AVFrame *gmain;
- AVFrame *gref;
- int frame_set;
char *model_path;
char *log_path;
char *log_fmt;
- int disable_clip;
- int disable_avx;
int enable_transform;
int phone_model;
int psnr;
@@ -65,184 +51,487 @@ typedef struct LIBVMAFContext {
int n_threads;
int n_subsample;
int enable_conf_interval;
- int error;
+ char *model_cfg;
+ char *feature_cfg;
+ VmafContext *vmaf;
+ VmafModel **model;
+ unsigned model_cnt;
+ unsigned frame_cnt;
+ unsigned bpc;
} LIBVMAFContext;
#define OFFSET(x) offsetof(LIBVMAFContext, x)
#define FLAGS AV_OPT_FLAG_FILTERING_PARAM|AV_OPT_FLAG_VIDEO_PARAM
static const AVOption libvmaf_options[] = {
- {"model_path", "Set the model to be used for computing vmaf.", OFFSET(model_path), AV_OPT_TYPE_STRING, {.str="/usr/local/share/model/vmaf_v0.6.1.pkl"}, 0, 1, FLAGS},
- {"log_path", "Set the file path to be used to store logs.", OFFSET(log_path), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 1, FLAGS},
- {"log_fmt", "Set the format of the log (csv, json or xml).", OFFSET(log_fmt), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 1, FLAGS},
- {"enable_transform", "Enables transform for computing vmaf.", OFFSET(enable_transform), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS},
- {"phone_model", "Invokes the phone model that will generate higher VMAF scores.", OFFSET(phone_model), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS},
- {"psnr", "Enables computing psnr along with vmaf.", OFFSET(psnr), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS},
- {"ssim", "Enables computing ssim along with vmaf.", OFFSET(ssim), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS},
- {"ms_ssim", "Enables computing ms-ssim along with vmaf.", OFFSET(ms_ssim), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS},
+ {"model_path", "use model='path=...'.", OFFSET(model_path), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
+ {"log_path", "Set the file path to be used to write log.", OFFSET(log_path), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 1, FLAGS},
+ {"log_fmt", "Set the format of the log (csv, json, xml, or sub).", OFFSET(log_fmt), AV_OPT_TYPE_STRING, {.str="xml"}, 0, 1, FLAGS},
+ {"enable_transform", "use model='enable_transform=true'.", OFFSET(enable_transform), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
+ {"phone_model", "use model='enable_transform=true'.", OFFSET(phone_model), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
+ {"psnr", "use feature='name=psnr'.", OFFSET(psnr), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
+ {"ssim", "use feature='name=ssim'.", OFFSET(ssim), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
+ {"ms_ssim", "use feature='name=ms_ssim'.", OFFSET(ms_ssim), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
{"pool", "Set the pool method to be used for computing vmaf.", OFFSET(pool), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 1, FLAGS},
{"n_threads", "Set number of threads to be used when computing vmaf.", OFFSET(n_threads), AV_OPT_TYPE_INT, {.i64=0}, 0, UINT_MAX, FLAGS},
{"n_subsample", "Set interval for frame subsampling used when computing vmaf.", OFFSET(n_subsample), AV_OPT_TYPE_INT, {.i64=1}, 1, UINT_MAX, FLAGS},
- {"enable_conf_interval", "Enables confidence interval.", OFFSET(enable_conf_interval), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS},
+ {"enable_conf_interval", "model='enable_conf_interval=true'.", OFFSET(enable_conf_interval), AV_OPT_TYPE_BOOL, {.i64=0}, 0, 1, FLAGS|AV_OPT_FLAG_DEPRECATED},
+ {"model", "Set the model to be used for computing vmaf.", OFFSET(model_cfg), AV_OPT_TYPE_STRING, {.str="version=vmaf_v0.6.1"}, 0, 1, FLAGS},
+ {"feature", "Set the feature to be used for computing vmaf.", OFFSET(feature_cfg), AV_OPT_TYPE_STRING, {.str=NULL}, 0, 1, FLAGS},
{ NULL }
};
FRAMESYNC_DEFINE_CLASS(libvmaf, LIBVMAFContext, fs);
-#define read_frame_fn(type, bits) \
- static int read_frame_##bits##bit(float *ref_data, float *main_data, \
- float *temp_data, int stride, void *ctx) \
-{ \
- LIBVMAFContext *s = (LIBVMAFContext *) ctx; \
- int ret; \
- \
- pthread_mutex_lock(&s->lock); \
- \
- while (!s->frame_set && !s->eof) { \
- pthread_cond_wait(&s->cond, &s->lock); \
- } \
- \
- if (s->frame_set) { \
- int ref_stride = s->gref->linesize[0]; \
- int main_stride = s->gmain->linesize[0]; \
- \
- const type *ref_ptr = (const type *) s->gref->data[0]; \
- const type *main_ptr = (const type *) s->gmain->data[0]; \
- \
- float *ptr = ref_data; \
- float factor = 1.f / (1 << (bits - 8)); \
- \
- int h = s->height; \
- int w = s->width; \
- \
- int i,j; \
- \
- for (i = 0; i < h; i++) { \
- for ( j = 0; j < w; j++) { \
- ptr[j] = ref_ptr[j] * factor; \
- } \
- ref_ptr += ref_stride / sizeof(*ref_ptr); \
- ptr += stride / sizeof(*ptr); \
- } \
- \
- ptr = main_data; \
- \
- for (i = 0; i < h; i++) { \
- for (j = 0; j < w; j++) { \
- ptr[j] = main_ptr[j] * factor; \
- } \
- main_ptr += main_stride / sizeof(*main_ptr); \
- ptr += stride / sizeof(*ptr); \
- } \
- } \
- \
- ret = !s->frame_set; \
- \
- av_frame_unref(s->gref); \
- av_frame_unref(s->gmain); \
- s->frame_set = 0; \
- \
- pthread_cond_signal(&s->cond); \
- pthread_mutex_unlock(&s->lock); \
- \
- if (ret) { \
- return 2; \
- } \
- \
- return 0; \
+static enum VmafPixelFormat pix_fmt_map(enum AVPixelFormat av_pix_fmt)
+{
+ switch (av_pix_fmt) {
+ case AV_PIX_FMT_YUV420P:
+ case AV_PIX_FMT_YUV420P10LE:
+ case AV_PIX_FMT_YUV420P12LE:
+ case AV_PIX_FMT_YUV420P16LE:
+ return VMAF_PIX_FMT_YUV420P;
+ case AV_PIX_FMT_YUV422P:
+ case AV_PIX_FMT_YUV422P10LE:
+ case AV_PIX_FMT_YUV422P12LE:
+ case AV_PIX_FMT_YUV422P16LE:
+ return VMAF_PIX_FMT_YUV422P;
+ case AV_PIX_FMT_YUV444P:
+ case AV_PIX_FMT_YUV444P10LE:
+ case AV_PIX_FMT_YUV444P12LE:
+ case AV_PIX_FMT_YUV444P16LE:
+ return VMAF_PIX_FMT_YUV444P;
+ default:
+ return VMAF_PIX_FMT_UNKNOWN;
+ }
}
-read_frame_fn(uint8_t, 8);
-read_frame_fn(uint16_t, 10);
+static int copy_picture_data(AVFrame *src, VmafPicture *dst, unsigned bpc)
+{
+ int err = vmaf_picture_alloc(dst, pix_fmt_map(src->format), bpc,
+ src->width, src->height);
+ if (err)
+ return AVERROR(ENOMEM);
+
+ for (unsigned i = 0; i < 3; i++) {
+ uint8_t *src_data = src->data[i];
+ uint8_t *dst_data = dst->data[i];
+ for (unsigned j = 0; j < dst->h[i]; j++) {
+ memcpy(dst_data, src_data, sizeof(*dst_data) * dst->w[i]);
+ src_data += src->linesize[i];
+ dst_data += dst->stride[i];
+ }
+ }
+
+ return 0;
+}
-static void compute_vmaf_score(LIBVMAFContext *s)
+static int do_vmaf(FFFrameSync *fs)
{
- int (*read_frame)(float *ref_data, float *main_data, float *temp_data,
- int stride, void *ctx);
- char *format;
+ AVFilterContext *ctx = fs->parent;
+ LIBVMAFContext *s = ctx->priv;
+ VmafPicture pic_ref, pic_dist;
+ AVFrame *ref, *dist;
+ int err = 0;
- if (s->desc->comp[0].depth <= 8) {
- read_frame = read_frame_8bit;
- } else {
- read_frame = read_frame_10bit;
+ int ret = ff_framesync_dualinput_get(fs, &dist, &ref);
+ if (ret < 0)
+ return ret;
+ if (ctx->is_disabled || !ref)
+ return ff_filter_frame(ctx->outputs[0], dist);
+
+ err = copy_picture_data(ref, &pic_ref, s->bpc);
+ if (err) {
+ av_log(s, AV_LOG_ERROR, "problem during vmaf_picture_alloc.\n");
+ return AVERROR(ENOMEM);
+ }
+
+ err = copy_picture_data(dist, &pic_dist, s->bpc);
+ if (err) {
+ av_log(s, AV_LOG_ERROR, "problem during vmaf_picture_alloc.\n");
+ vmaf_picture_unref(&pic_ref);
+ return AVERROR(ENOMEM);
}
- format = (char *) s->desc->name;
+ err = vmaf_read_pictures(s->vmaf, &pic_ref, &pic_dist, s->frame_cnt++);
+ if (err) {
+ av_log(s, AV_LOG_ERROR, "problem during vmaf_read_pictures.\n");
+ return AVERROR(EINVAL);
+ }
- s->error = compute_vmaf(&s->vmaf_score, format, s->width, s->height,
- read_frame, s, s->model_path, s->log_path,
- s->log_fmt, 0, 0, s->enable_transform,
- s->phone_model, s->psnr, s->ssim,
- s->ms_ssim, s->pool,
- s->n_threads, s->n_subsample, s->enable_conf_interval);
+ return ff_filter_frame(ctx->outputs[0], dist);
}
-static void *call_vmaf(void *ctx)
+
+static AVDictionary **delimited_dict_parse(char *str, unsigned *cnt)
{
- LIBVMAFContext *s = (LIBVMAFContext *) ctx;
- compute_vmaf_score(s);
- if (!s->error) {
- av_log(ctx, AV_LOG_INFO, "VMAF score: %f\n",s->vmaf_score);
- } else {
- pthread_mutex_lock(&s->lock);
- pthread_cond_signal(&s->cond);
- pthread_mutex_unlock(&s->lock);
+ AVDictionary **dict = NULL;
+ char *str_copy = NULL;
+ char *saveptr = NULL;
+ unsigned cnt2;
+ int err = 0;
+
+ if (!str)
+ return NULL;
+
+ cnt2 = 1;
+ for (char *p = str; *p; p++) {
+ if (*p == '|')
+ cnt2++;
+ }
+
+ dict = av_calloc(cnt2, sizeof(*dict));
+ if (!dict)
+ goto fail;
+
+ str_copy = av_strdup(str);
+ if (!str_copy)
+ goto fail;
+
+ *cnt = 0;
+ for (unsigned i = 0; i < cnt2; i++) {
+ char *s = av_strtok(i == 0 ? str_copy : NULL, "|", &saveptr);
+ if (!s)
+ continue;
+ err = av_dict_parse_string(&dict[(*cnt)++], s, "=", ":", 0);
+ if (err)
+ goto fail;
+ }
+
+ av_free(str_copy);
+ return dict;
+
+fail:
+ if (dict) {
+ for (unsigned i = 0; i < *cnt; i++) {
+ if (dict[i])
+ av_dict_free(&dict[i]);
+ }
+ av_free(dict);
}
- pthread_exit(NULL);
+
+ av_free(str_copy);
+ *cnt = 0;
return NULL;
}
-static int do_vmaf(FFFrameSync *fs)
+static int parse_features(AVFilterContext *ctx)
{
- AVFilterContext *ctx = fs->parent;
LIBVMAFContext *s = ctx->priv;
- AVFrame *master, *ref;
- int ret;
+ AVDictionary **dict = NULL;
+ unsigned dict_cnt;
+ int err = 0;
- ret = ff_framesync_dualinput_get(fs, &master, &ref);
- if (ret < 0)
- return ret;
- if (!ref)
- return ff_filter_frame(ctx->outputs[0], master);
+ if (!s->feature_cfg)
+ return 0;
+
+ dict = delimited_dict_parse(s->feature_cfg, &dict_cnt);
+ if (!dict) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not parse feature config: %s\n", s->feature_cfg);
+ return AVERROR(EINVAL);
+ }
- pthread_mutex_lock(&s->lock);
+ for (unsigned i = 0; i < dict_cnt; i++) {
+ char *feature_name = NULL;
+ VmafFeatureDictionary *feature_opts_dict = NULL;
+ AVDictionaryEntry *e = NULL;
+
+ while (e = av_dict_get(dict[i], "", e, AV_DICT_IGNORE_SUFFIX)) {
+ if (av_stristr(e->key, "name")) {
+ feature_name = e->value;
+ continue;
+ }
+
+ err = vmaf_feature_dictionary_set(&feature_opts_dict, e->key,
+ e->value);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not set feature option: %s.%s=%s\n",
+ feature_name, e->key, e->value);
+ goto exit;
+ }
+ }
+
+ err = vmaf_use_feature(s->vmaf, feature_name, feature_opts_dict);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem during vmaf_use_feature: %s\n", feature_name);
+ goto exit;
+ }
+ }
- while (s->frame_set && !s->error) {
- pthread_cond_wait(&s->cond, &s->lock);
+exit:
+ for (unsigned i = 0; i < dict_cnt; i++) {
+ if (dict[i])
+ av_dict_free(&dict[i]);
}
+ av_free(dict);
+ return err;
+}
+
+static int parse_models(AVFilterContext *ctx)
+{
+ LIBVMAFContext *s = ctx->priv;
+ AVDictionary **dict;
+ unsigned dict_cnt;
+ int err = 0;
+
+ if (!s->model_cfg) return 0;
- if (s->error) {
+ dict_cnt = 0;
+ dict = delimited_dict_parse(s->model_cfg, &dict_cnt);
+ if (!dict) {
av_log(ctx, AV_LOG_ERROR,
- "libvmaf encountered an error, check log for details\n");
- pthread_mutex_unlock(&s->lock);
+ "could not parse model config: %s\n", s->model_cfg);
return AVERROR(EINVAL);
}
- av_frame_ref(s->gref, ref);
- av_frame_ref(s->gmain, master);
+ s->model_cnt = dict_cnt;
+ s->model = av_calloc(s->model_cnt, sizeof(*s->model));
+ if (!s->model)
+ return AVERROR(ENOMEM);
+
+ for (unsigned i = 0; i < dict_cnt; i++) {
+ VmafModelConfig model_cfg = { 0 };
+ AVDictionaryEntry *e = NULL;
+ char *version = NULL;
+ char *path = NULL;
+
+ while (e = av_dict_get(dict[i], "", e, AV_DICT_IGNORE_SUFFIX)) {
+ if (av_stristr(e->key, "disable_clip")) {
+ model_cfg.flags |= av_stristr(e->value, "true") ?
+ VMAF_MODEL_FLAG_DISABLE_CLIP : 0;
+ continue;
+ }
+
+ if (av_stristr(e->key, "enable_transform")) {
+ model_cfg.flags |= av_stristr(e->value, "true") ?
+ VMAF_MODEL_FLAG_ENABLE_TRANSFORM : 0;
+ continue;
+ }
+
+ if (av_stristr(e->key, "name")) {
+ model_cfg.name = e->value;
+ continue;
+ }
+
+ if (av_stristr(e->key, "version")) {
+ version = e->value;
+ continue;
+ }
+
+ if (av_stristr(e->key, "path")) {
+ path = e->value;
+ continue;
+ }
+ }
+
+ if (version) {
+ err = vmaf_model_load(&s->model[i], &model_cfg, version);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not load libvmaf model with version: %s\n",
+ version);
+ goto exit;
+ }
+ }
+
+ if (path && !s->model[i]) {
+ err = vmaf_model_load_from_path(&s->model[i], &model_cfg, path);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not load libvmaf model with path: %s\n",
+ path);
+ goto exit;
+ }
+ }
+
+ if (!s->model[i]) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not load libvmaf model with config: %s\n",
+ s->model_cfg);
+ goto exit;
+ }
+
+ while (e = av_dict_get(dict[i], "", e, AV_DICT_IGNORE_SUFFIX)) {
+ VmafFeatureDictionary *feature_opts_dict = NULL;
+ char *feature_opt = NULL;
+
+ char *feature_name = av_strtok(e->key, ".", &feature_opt);
+ if (!feature_opt)
+ continue;
+
+ err = vmaf_feature_dictionary_set(&feature_opts_dict,
+ feature_opt, e->value);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not set feature option: %s.%s=%s\n",
+ feature_name, feature_opt, e->value);
+ err = AVERROR(EINVAL);
+ goto exit;
+ }
+
+ err = vmaf_model_feature_overload(s->model[i], feature_name,
+ feature_opts_dict);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "could not overload feature: %s\n", feature_name);
+ err = AVERROR(EINVAL);
+ goto exit;
+ }
+ }
+ }
+
+ for (unsigned i = 0; i < s->model_cnt; i++) {
+ err = vmaf_use_features_from_model(s->vmaf, s->model[i]);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem during vmaf_use_features_from_model\n");
+ err = AVERROR(EINVAL);
+ goto exit;
+ }
+ }
+
+exit:
+ for (unsigned i = 0; i < dict_cnt; i++) {
+ if (dict[i])
+ av_dict_free(&dict[i]);
+ }
+ av_free(dict);
+ return err;
+}
+
+static enum VmafLogLevel log_level_map(int log_level)
+{
+ switch (log_level) {
+ case AV_LOG_QUIET:
+ return VMAF_LOG_LEVEL_NONE;
+ case AV_LOG_ERROR:
+ return VMAF_LOG_LEVEL_ERROR;
+ case AV_LOG_WARNING:
+ return VMAF_LOG_LEVEL_WARNING;
+ case AV_LOG_INFO:
+ return VMAF_LOG_LEVEL_INFO;
+ case AV_LOG_DEBUG:
+ return VMAF_LOG_LEVEL_DEBUG;
+ default:
+ return VMAF_LOG_LEVEL_INFO;
+ }
+}
+
+static int parse_deprecated_options(AVFilterContext *ctx)
+{
+ LIBVMAFContext *s = ctx->priv;
+ VmafModel *model = NULL;
+ VmafModelCollection *model_collection = NULL;
+ enum VmafModelFlags flags = VMAF_MODEL_FLAGS_DEFAULT;
+ int err = 0;
+
+ VmafModelConfig model_cfg = {
+ .name = "vmaf",
+ .flags = flags,
+ };
+
+ if (s->enable_transform || s->phone_model)
+ flags |= VMAF_MODEL_FLAG_ENABLE_TRANSFORM;
+
+ if (!s->model_path)
+ goto extra_metrics_only;
+
+ if (s->enable_conf_interval) {
+ err = vmaf_model_collection_load_from_path(&model, &model_collection,
+ &model_cfg, s->model_path);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading model file: %s\n", s->model_path);
+ goto exit;
+ }
+
+ err = vmaf_use_features_from_model_collection(s->vmaf, model_collection);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading feature extractors from model file: %s\n",
+ s->model_path);
+ goto exit;
+ }
+ } else {
+ err = vmaf_model_load_from_path(&model, &model_cfg, s->model_path);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading model file: %s\n", s->model_path);
+ goto exit;
+ }
+ err = vmaf_use_features_from_model(s->vmaf, model);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading feature extractors from model file: %s\n",
+ s->model_path);
+ goto exit;
+ }
+ }
+
+extra_metrics_only:
+ if (s->psnr) {
+ VmafFeatureDictionary *d = NULL;
+ vmaf_feature_dictionary_set(&d, "enable_chroma", "false");
+
+ err = vmaf_use_feature(s->vmaf, "psnr", d);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading feature extractor: psnr\n");
+ goto exit;
+ }
+ }
- s->frame_set = 1;
+ if (s->ssim) {
+ err = vmaf_use_feature(s->vmaf, "float_ssim", NULL);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading feature extractor: ssim\n");
+ goto exit;
+ }
+ }
- pthread_cond_signal(&s->cond);
- pthread_mutex_unlock(&s->lock);
+ if (s->ms_ssim) {
+ err = vmaf_use_feature(s->vmaf, "float_ms_ssim", NULL);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem loading feature extractor: ms_ssim\n");
+ goto exit;
+ }
+ }
- return ff_filter_frame(ctx->outputs[0], master);
+exit:
+ return err;
}
static av_cold int init(AVFilterContext *ctx)
{
LIBVMAFContext *s = ctx->priv;
+ int err = 0;
- s->gref = av_frame_alloc();
- s->gmain = av_frame_alloc();
- if (!s->gref || !s->gmain)
- return AVERROR(ENOMEM);
+ VmafConfiguration cfg = {
+ .log_level = log_level_map(av_log_get_level()),
+ .n_subsample = s->n_subsample,
+ .n_threads = s->n_threads,
+ };
+
+ err = vmaf_init(&s->vmaf, cfg);
+ if (err)
+ return AVERROR(EINVAL);
+
+ err = parse_deprecated_options(ctx);
+ if (err)
+ return err;
- s->error = 0;
+ err = parse_models(ctx);
+ if (err)
+ return err;
- s->vmaf_thread_created = 0;
- pthread_mutex_init(&s->lock, NULL);
- pthread_cond_init (&s->cond, NULL);
+ err = parse_features(ctx);
+ if (err)
+ return err;
s->fs.on_event = do_vmaf;
return 0;
@@ -256,26 +545,31 @@ static const enum AVPixelFormat pix_fmts[] = {
static int config_input_ref(AVFilterLink *inlink)
{
- AVFilterContext *ctx = inlink->dst;
+ AVFilterContext *ctx = inlink->dst;
LIBVMAFContext *s = ctx->priv;
- int th;
+ const AVPixFmtDescriptor *desc;
+ int err = 0;
- if (ctx->inputs[0]->w != ctx->inputs[1]->w ||
- ctx->inputs[0]->h != ctx->inputs[1]->h) {
- av_log(ctx, AV_LOG_ERROR, "Width and height of input videos must be same.\n");
- return AVERROR(EINVAL);
+ if (ctx->inputs[0]->w != ctx->inputs[1]->w) {
+ av_log(ctx, AV_LOG_ERROR, "input width must match.\n");
+ err |= AVERROR(EINVAL);
}
- s->desc = av_pix_fmt_desc_get(inlink->format);
- s->width = ctx->inputs[0]->w;
- s->height = ctx->inputs[0]->h;
+ if (ctx->inputs[0]->h != ctx->inputs[1]->h) {
+ av_log(ctx, AV_LOG_ERROR, "input height must match.\n");
+ err |= AVERROR(EINVAL);
+ }
- th = pthread_create(&s->vmaf_thread, NULL, call_vmaf, (void *) s);
- if (th) {
- av_log(ctx, AV_LOG_ERROR, "Thread creation failed.\n");
- return AVERROR(EINVAL);
+ if (ctx->inputs[0]->format != ctx->inputs[1]->format) {
+ av_log(ctx, AV_LOG_ERROR, "input pix_fmt must match.\n");
+ err |= AVERROR(EINVAL);
}
- s->vmaf_thread_created = 1;
+
+ if (err)
+ return err;
+
+ desc = av_pix_fmt_desc_get(inlink->format);
+ s->bpc = desc->comp[0].depth;
return 0;
}
@@ -307,28 +601,80 @@ static int activate(AVFilterContext *ctx)
return ff_framesync_activate(&s->fs);
}
+static enum VmafOutputFormat log_fmt_map(const char *log_fmt)
+{
+ if (log_fmt) {
+ if (av_stristr(log_fmt, "xml"))
+ return VMAF_OUTPUT_FORMAT_XML;
+ if (av_stristr(log_fmt, "json"))
+ return VMAF_OUTPUT_FORMAT_JSON;
+ if (av_stristr(log_fmt, "csv"))
+ return VMAF_OUTPUT_FORMAT_CSV;
+ if (av_stristr(log_fmt, "sub"))
+ return VMAF_OUTPUT_FORMAT_SUB;
+ }
+
+ return VMAF_OUTPUT_FORMAT_XML;
+}
+
+static enum VmafPoolingMethod pool_method_map(const char *pool_method)
+{
+ if (pool_method) {
+ if (av_stristr(pool_method, "min"))
+ return VMAF_POOL_METHOD_MIN;
+ if (av_stristr(pool_method, "mean"))
+ return VMAF_POOL_METHOD_MEAN;
+ if (av_stristr(pool_method, "harmonic_mean"))
+ return VMAF_POOL_METHOD_HARMONIC_MEAN;
+ }
+
+ return VMAF_POOL_METHOD_MEAN;
+}
+
static av_cold void uninit(AVFilterContext *ctx)
{
LIBVMAFContext *s = ctx->priv;
+ int err = 0;
ff_framesync_uninit(&s->fs);
- pthread_mutex_lock(&s->lock);
- s->eof = 1;
- pthread_cond_signal(&s->cond);
- pthread_mutex_unlock(&s->lock);
+ if (!s->frame_cnt)
+ goto clean_up;
- if (s->vmaf_thread_created)
- {
- pthread_join(s->vmaf_thread, NULL);
- s->vmaf_thread_created = 0;
+ err = vmaf_read_pictures(s->vmaf, NULL, NULL, 0);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem flushing libvmaf context.\n");
}
- av_frame_free(&s->gref);
- av_frame_free(&s->gmain);
+ for (unsigned i = 0; i < s->model_cnt; i++) {
+ double vmaf_score;
+ err = vmaf_score_pooled(s->vmaf, s->model[i], pool_method_map(s->pool),
+ &vmaf_score, 0, s->frame_cnt - 1);
+ if (err) {
+ av_log(ctx, AV_LOG_ERROR,
+ "problem getting pooled vmaf score.\n");
+ }
+
+ av_log(ctx, AV_LOG_INFO, "VMAF score: %f\n", vmaf_score);
+ }
+
+ if (s->vmaf) {
+ if (s->log_path && !err)
+ vmaf_write_output(s->vmaf, s->log_path, log_fmt_map(s->log_fmt));
+ }
+
+clean_up:
+ if (s->model) {
+ for (unsigned i = 0; i < s->model_cnt; i++) {
+ if (s->model[i])
+ vmaf_model_destroy(s->model[i]);
+ }
+ av_free(s->model);
+ }
- pthread_mutex_destroy(&s->lock);
- pthread_cond_destroy(&s->cond);
+ if (s->vmaf)
+ vmaf_close(s->vmaf);
}
static const AVFilterPad libvmaf_inputs[] = {
--
2.20.1
Reference in a new issue Copy permalink