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submodule
ffmpeg
Commits
a0341b4d
Commit
a0341b4d
authored
Jan 22, 2017
by
Michael Niedermayer
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avcodec/error_resilience: update indention after last commit
Signed-off-by:
Michael Niedermayer
<
michael@niedermayer.cc
>
parent
d9d9fd94
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error_resilience.c
libavcodec/error_resilience.c
+173
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libavcodec/error_resilience.c
View file @
a0341b4d
...
@@ -497,196 +497,196 @@ static void guess_mv(ERContext *s)
...
@@ -497,196 +497,196 @@ static void guess_mv(ERContext *s)
av_assert2
(
fixed
[
mb_xy
]
!=
MV_FROZEN
);
av_assert2
(
fixed
[
mb_xy
]
!=
MV_FROZEN
);
av_assert1
(
!
IS_INTRA
(
s
->
cur_pic
.
mb_type
[
mb_xy
]));
av_assert1
(
!
IS_INTRA
(
s
->
cur_pic
.
mb_type
[
mb_xy
]));
av_assert1
(
s
->
last_pic
.
f
&&
s
->
last_pic
.
f
->
data
[
0
]);
av_assert1
(
s
->
last_pic
.
f
&&
s
->
last_pic
.
f
->
data
[
0
]);
j
=
0
;
if
(
mb_x
>
0
)
j
|=
fixed
[
mb_xy
-
1
];
if
(
mb_x
+
1
<
mb_width
)
j
|=
fixed
[
mb_xy
+
1
];
if
(
mb_y
>
0
)
j
|=
fixed
[
mb_xy
-
mb_stride
];
if
(
mb_y
+
1
<
mb_height
)
j
|=
fixed
[
mb_xy
+
mb_stride
];
av_assert2
(
j
&
MV_FROZEN
);
if
(
!
(
j
&
MV_CHANGED
)
&&
pass
>
1
)
continue
;
none_left
=
0
;
j
=
0
;
pred_count
=
0
;
if
(
mb_x
>
0
)
mot_index
=
(
mb_x
+
mb_y
*
mot_stride
)
*
mot_step
;
j
|=
fixed
[
mb_xy
-
1
];
if
(
mb_x
+
1
<
mb_width
)
j
|=
fixed
[
mb_xy
+
1
];
if
(
mb_y
>
0
)
j
|=
fixed
[
mb_xy
-
mb_stride
];
if
(
mb_y
+
1
<
mb_height
)
j
|=
fixed
[
mb_xy
+
mb_stride
];
if
(
mb_x
>
0
&&
fixed
[
mb_xy
-
1
]
>
1
)
{
av_assert2
(
j
&
MV_FROZEN
);
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
-
1
)];
pred_count
++
;
}
if
(
mb_x
+
1
<
mb_width
&&
fixed
[
mb_xy
+
1
]
>
1
)
{
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
+
1
)];
pred_count
++
;
}
if
(
mb_y
>
0
&&
fixed
[
mb_xy
-
mb_stride
]
>
1
)
{
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_stride
*
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_stride
*
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
-
s
->
mb_stride
)];
pred_count
++
;
}
if
(
mb_y
+
1
<
mb_height
&&
fixed
[
mb_xy
+
mb_stride
]
>
1
)
{
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_stride
*
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_stride
*
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
+
s
->
mb_stride
)];
pred_count
++
;
}
if
(
pred_count
==
0
)
continue
;
if
(
pred_count
>
1
)
{
if
(
!
(
j
&
MV_CHANGED
)
&&
pass
>
1
)
int
sum_x
=
0
,
sum_y
=
0
,
sum_r
=
0
;
continue
;
int
max_x
,
max_y
,
min_x
,
min_y
,
max_r
,
min_r
;
for
(
j
=
0
;
j
<
pred_count
;
j
++
)
{
sum_x
+=
mv_predictor
[
j
][
0
];
sum_y
+=
mv_predictor
[
j
][
1
];
sum_r
+=
ref
[
j
];
if
(
j
&&
ref
[
j
]
!=
ref
[
j
-
1
])
goto
skip_mean_and_median
;
}
/* mean */
mv_predictor
[
pred_count
][
0
]
=
sum_x
/
j
;
mv_predictor
[
pred_count
][
1
]
=
sum_y
/
j
;
ref
[
pred_count
]
=
sum_r
/
j
;
/* median */
if
(
pred_count
>=
3
)
{
min_y
=
min_x
=
min_r
=
99999
;
max_y
=
max_x
=
max_r
=
-
99999
;
}
else
{
min_x
=
min_y
=
max_x
=
max_y
=
min_r
=
max_r
=
0
;
}
for
(
j
=
0
;
j
<
pred_count
;
j
++
)
{
max_x
=
FFMAX
(
max_x
,
mv_predictor
[
j
][
0
]);
max_y
=
FFMAX
(
max_y
,
mv_predictor
[
j
][
1
]);
max_r
=
FFMAX
(
max_r
,
ref
[
j
]);
min_x
=
FFMIN
(
min_x
,
mv_predictor
[
j
][
0
]);
min_y
=
FFMIN
(
min_y
,
mv_predictor
[
j
][
1
]);
min_r
=
FFMIN
(
min_r
,
ref
[
j
]);
}
mv_predictor
[
pred_count
+
1
][
0
]
=
sum_x
-
max_x
-
min_x
;
mv_predictor
[
pred_count
+
1
][
1
]
=
sum_y
-
max_y
-
min_y
;
ref
[
pred_count
+
1
]
=
sum_r
-
max_r
-
min_r
;
if
(
pred_count
==
4
)
{
mv_predictor
[
pred_count
+
1
][
0
]
/=
2
;
mv_predictor
[
pred_count
+
1
][
1
]
/=
2
;
ref
[
pred_count
+
1
]
/=
2
;
}
pred_count
+=
2
;
}
skip_mean_and_median:
none_left
=
0
;
/* zero MV */
pred_count
=
0
;
mot_index
=
(
mb_x
+
mb_y
*
mot_stride
)
*
mot_step
;
if
(
mb_x
>
0
&&
fixed
[
mb_xy
-
1
]
>
1
)
{
mv_predictor
[
pred_count
][
0
]
=
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
mv_predictor
[
pred_count
][
1
]
=
ref
[
pred_count
]
=
0
;
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
-
1
)];
pred_count
++
;
pred_count
++
;
}
prev_x
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
0
];
if
(
mb_x
+
1
<
mb_width
&&
fixed
[
mb_xy
+
1
]
>
1
)
{
prev_y
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
1
];
mv_predictor
[
pred_count
][
0
]
=
prev_ref
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
mb_xy
];
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
/* last MV */
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_step
][
1
];
mv_predictor
[
pred_count
][
0
]
=
prev_x
;
ref
[
pred_count
]
=
mv_predictor
[
pred_count
][
1
]
=
prev_y
;
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
+
1
)];
ref
[
pred_count
]
=
prev_ref
;
pred_count
++
;
}
if
(
mb_y
>
0
&&
fixed
[
mb_xy
-
mb_stride
]
>
1
)
{
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_stride
*
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
-
mot_stride
*
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
-
s
->
mb_stride
)];
pred_count
++
;
}
if
(
mb_y
+
1
<
mb_height
&&
fixed
[
mb_xy
+
mb_stride
]
>
1
)
{
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_stride
*
mot_step
][
0
];
mv_predictor
[
pred_count
][
1
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
mot_stride
*
mot_step
][
1
];
ref
[
pred_count
]
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
(
mb_xy
+
s
->
mb_stride
)];
pred_count
++
;
pred_count
++
;
}
if
(
pred_count
==
0
)
continue
;
if
(
pred_count
>
1
)
{
int
sum_x
=
0
,
sum_y
=
0
,
sum_r
=
0
;
int
max_x
,
max_y
,
min_x
,
min_y
,
max_r
,
min_r
;
best_pred
=
0
;
best_score
=
256
*
256
*
256
*
64
;
for
(
j
=
0
;
j
<
pred_count
;
j
++
)
{
for
(
j
=
0
;
j
<
pred_count
;
j
++
)
{
int
*
linesize
=
s
->
cur_pic
.
f
->
linesize
;
sum_x
+=
mv_predictor
[
j
][
0
];
int
score
=
0
;
sum_y
+=
mv_predictor
[
j
][
1
];
uint8_t
*
src
=
s
->
cur_pic
.
f
->
data
[
0
]
+
sum_r
+=
ref
[
j
];
mb_x
*
16
+
mb_y
*
16
*
linesize
[
0
];
if
(
j
&&
ref
[
j
]
!=
ref
[
j
-
1
])
goto
skip_mean_and_median
;
}
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
0
]
=
/* mean */
s
->
mv
[
0
][
0
][
0
]
=
mv_predictor
[
j
][
0
];
mv_predictor
[
pred_count
][
0
]
=
sum_x
/
j
;
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
1
]
=
mv_predictor
[
pred_count
][
1
]
=
sum_y
/
j
;
s
->
mv
[
0
][
0
][
1
]
=
mv_predictor
[
j
][
1
];
ref
[
pred_count
]
=
sum_r
/
j
;
// predictor intra or otherwise not available
/* median */
if
(
ref
[
j
]
<
0
)
if
(
pred_count
>=
3
)
{
continue
;
min_y
=
min_x
=
min_r
=
99999
;
max_y
=
max_x
=
max_r
=
-
99999
;
s
->
decode_mb
(
s
->
opaque
,
ref
[
j
],
MV_DIR_FORWARD
,
}
else
{
MV_TYPE_16X16
,
&
s
->
mv
,
mb_x
,
mb_y
,
0
,
0
);
min_x
=
min_y
=
max_x
=
max_y
=
min_r
=
max_r
=
0
;
}
if
(
mb_x
>
0
&&
fixed
[
mb_xy
-
1
]
>
1
)
{
for
(
j
=
0
;
j
<
pred_count
;
j
++
)
{
int
k
;
max_x
=
FFMAX
(
max_x
,
mv_predictor
[
j
][
0
]);
for
(
k
=
0
;
k
<
16
;
k
++
)
max_y
=
FFMAX
(
max_y
,
mv_predictor
[
j
][
1
]);
score
+=
FFABS
(
src
[
k
*
linesize
[
0
]
-
1
]
-
max_r
=
FFMAX
(
max_r
,
ref
[
j
]);
src
[
k
*
linesize
[
0
]]);
min_x
=
FFMIN
(
min_x
,
mv_predictor
[
j
][
0
]);
}
min_y
=
FFMIN
(
min_y
,
mv_predictor
[
j
][
1
]);
if
(
mb_x
+
1
<
mb_width
&&
fixed
[
mb_xy
+
1
]
>
1
)
{
min_r
=
FFMIN
(
min_r
,
ref
[
j
]);
int
k
;
}
for
(
k
=
0
;
k
<
16
;
k
++
)
mv_predictor
[
pred_count
+
1
][
0
]
=
sum_x
-
max_x
-
min_x
;
score
+=
FFABS
(
src
[
k
*
linesize
[
0
]
+
15
]
-
mv_predictor
[
pred_count
+
1
][
1
]
=
sum_y
-
max_y
-
min_y
;
src
[
k
*
linesize
[
0
]
+
16
]);
ref
[
pred_count
+
1
]
=
sum_r
-
max_r
-
min_r
;
}
if
(
mb_y
>
0
&&
fixed
[
mb_xy
-
mb_stride
]
>
1
)
{
if
(
pred_count
==
4
)
{
int
k
;
mv_predictor
[
pred_count
+
1
][
0
]
/=
2
;
for
(
k
=
0
;
k
<
16
;
k
++
)
mv_predictor
[
pred_count
+
1
][
1
]
/=
2
;
score
+=
FFABS
(
src
[
k
-
linesize
[
0
]]
-
src
[
k
]);
ref
[
pred_count
+
1
]
/=
2
;
}
if
(
mb_y
+
1
<
mb_height
&&
fixed
[
mb_xy
+
mb_stride
]
>
1
)
{
int
k
;
for
(
k
=
0
;
k
<
16
;
k
++
)
score
+=
FFABS
(
src
[
k
+
linesize
[
0
]
*
15
]
-
src
[
k
+
linesize
[
0
]
*
16
]);
}
if
(
score
<=
best_score
)
{
// <= will favor the last MV
best_score
=
score
;
best_pred
=
j
;
}
}
}
score_sum
+=
best_score
;
pred_count
+=
2
;
s
->
mv
[
0
][
0
][
0
]
=
mv_predictor
[
best_pred
][
0
];
}
s
->
mv
[
0
][
0
][
1
]
=
mv_predictor
[
best_pred
][
1
];
for
(
i
=
0
;
i
<
mot_step
;
i
++
)
skip_mean_and_median:
for
(
j
=
0
;
j
<
mot_step
;
j
++
)
{
/* zero MV */
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
i
+
j
*
mot_stride
][
0
]
=
s
->
mv
[
0
][
0
][
0
];
mv_predictor
[
pred_count
][
0
]
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
i
+
j
*
mot_stride
][
1
]
=
s
->
mv
[
0
][
0
][
1
];
mv_predictor
[
pred_count
][
1
]
=
}
ref
[
pred_count
]
=
0
;
pred_count
++
;
prev_x
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
0
];
prev_y
=
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
1
];
prev_ref
=
s
->
cur_pic
.
ref_index
[
0
][
4
*
mb_xy
];
/* last MV */
mv_predictor
[
pred_count
][
0
]
=
prev_x
;
mv_predictor
[
pred_count
][
1
]
=
prev_y
;
ref
[
pred_count
]
=
prev_ref
;
pred_count
++
;
best_pred
=
0
;
best_score
=
256
*
256
*
256
*
64
;
for
(
j
=
0
;
j
<
pred_count
;
j
++
)
{
int
*
linesize
=
s
->
cur_pic
.
f
->
linesize
;
int
score
=
0
;
uint8_t
*
src
=
s
->
cur_pic
.
f
->
data
[
0
]
+
mb_x
*
16
+
mb_y
*
16
*
linesize
[
0
];
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
0
]
=
s
->
mv
[
0
][
0
][
0
]
=
mv_predictor
[
j
][
0
];
s
->
cur_pic
.
motion_val
[
0
][
mot_index
][
1
]
=
s
->
mv
[
0
][
0
][
1
]
=
mv_predictor
[
j
][
1
];
// predictor intra or otherwise not available
if
(
ref
[
j
]
<
0
)
continue
;
s
->
decode_mb
(
s
->
opaque
,
ref
[
best_pred
],
MV_DIR_FORWARD
,
s
->
decode_mb
(
s
->
opaque
,
ref
[
j
],
MV_DIR_FORWARD
,
MV_TYPE_16X16
,
&
s
->
mv
,
mb_x
,
mb_y
,
0
,
0
);
MV_TYPE_16X16
,
&
s
->
mv
,
mb_x
,
mb_y
,
0
,
0
);
if
(
mb_x
>
0
&&
fixed
[
mb_xy
-
1
]
>
1
)
{
int
k
;
for
(
k
=
0
;
k
<
16
;
k
++
)
score
+=
FFABS
(
src
[
k
*
linesize
[
0
]
-
1
]
-
src
[
k
*
linesize
[
0
]]);
}
if
(
mb_x
+
1
<
mb_width
&&
fixed
[
mb_xy
+
1
]
>
1
)
{
int
k
;
for
(
k
=
0
;
k
<
16
;
k
++
)
score
+=
FFABS
(
src
[
k
*
linesize
[
0
]
+
15
]
-
src
[
k
*
linesize
[
0
]
+
16
]);
}
if
(
mb_y
>
0
&&
fixed
[
mb_xy
-
mb_stride
]
>
1
)
{
int
k
;
for
(
k
=
0
;
k
<
16
;
k
++
)
score
+=
FFABS
(
src
[
k
-
linesize
[
0
]]
-
src
[
k
]);
}
if
(
mb_y
+
1
<
mb_height
&&
fixed
[
mb_xy
+
mb_stride
]
>
1
)
{
int
k
;
for
(
k
=
0
;
k
<
16
;
k
++
)
score
+=
FFABS
(
src
[
k
+
linesize
[
0
]
*
15
]
-
src
[
k
+
linesize
[
0
]
*
16
]);
}
if
(
score
<=
best_score
)
{
// <= will favor the last MV
best_score
=
score
;
best_pred
=
j
;
}
}
score_sum
+=
best_score
;
s
->
mv
[
0
][
0
][
0
]
=
mv_predictor
[
best_pred
][
0
];
s
->
mv
[
0
][
0
][
1
]
=
mv_predictor
[
best_pred
][
1
];
for
(
i
=
0
;
i
<
mot_step
;
i
++
)
for
(
j
=
0
;
j
<
mot_step
;
j
++
)
{
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
i
+
j
*
mot_stride
][
0
]
=
s
->
mv
[
0
][
0
][
0
];
s
->
cur_pic
.
motion_val
[
0
][
mot_index
+
i
+
j
*
mot_stride
][
1
]
=
s
->
mv
[
0
][
0
][
1
];
}
s
->
decode_mb
(
s
->
opaque
,
ref
[
best_pred
],
MV_DIR_FORWARD
,
MV_TYPE_16X16
,
&
s
->
mv
,
mb_x
,
mb_y
,
0
,
0
);
if
(
s
->
mv
[
0
][
0
][
0
]
!=
prev_x
||
s
->
mv
[
0
][
0
][
1
]
!=
prev_y
)
{
if
(
s
->
mv
[
0
][
0
][
0
]
!=
prev_x
||
s
->
mv
[
0
][
0
][
1
]
!=
prev_y
)
{
fixed
[
mb_xy
]
=
MV_CHANGED
;
fixed
[
mb_xy
]
=
MV_CHANGED
;
changed
++
;
changed
++
;
}
else
}
else
fixed
[
mb_xy
]
=
MV_UNCHANGED
;
fixed
[
mb_xy
]
=
MV_UNCHANGED
;
}
}
}
}
...
...
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