diff --git a/CUTTER_REPORT.html b/CUTTER_REPORT.html index e2b2cf2..5eb3b76 100644 --- a/CUTTER_REPORT.html +++ b/CUTTER_REPORT.html @@ -132,4 +132,4 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); }
-

Cutter & Match Report

Generiert: 2026-05-06 10:52:13Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (5 bestätigt) — 2 manuell.
Recent Changes:
Remove legacy _seg*.mp4 files replaced by new compare clip pipeline
Old per-segment source clips (beat_10, beat_12, beat_15) are obsolete —
generate_cutter_report.py now produces beat_NN_compare.mp4 side-by-side clips.

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:35:054380.448?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:13:13554+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:38:063090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:18:04623+720.399?
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:28:04:176130.663OK
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:35:05–01:02:36:22
Scene 438 · Score 0.448
⚠ Score 0.448 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:38:06–00:43:41:09
Scene 309 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:18:04  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:18:04  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:28:04:17–01:28:05:14
Scene 613 · Score 0.663
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24
+

Cutter & Match Report

Generiert: 2026-05-06 12:30:01Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (6 bestätigt) — 2 manuell.
Recent Changes:
Remove legacy _seg*.mp4 files replaced by new compare clip pipeline
Old per-segment source clips (beat_10, beat_12, beat_15) are obsolete —
generate_cutter_report.py now produces beat_NN_compare.mp4 side-by-side clips.

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:35:054380.448?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:13:13554+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:38:063090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:26:06623+720.399OK
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:28:04:176130.663OK
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:35:05–01:02:36:22
Scene 438 · Score 0.448
⚠ Score 0.448 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:38:06–00:43:41:09
Scene 309 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:26:06  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:26:06  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:28:04:17–01:28:05:14
Scene 613 · Score 0.663
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24
diff --git a/CUTTER_REPORT.md b/CUTTER_REPORT.md index b39a3d7..927aeb6 100644 --- a/CUTTER_REPORT.md +++ b/CUTTER_REPORT.md @@ -1,6 +1,6 @@ # Cutter-Report — manuelles Nachschneiden -Generiert: **2026-05-06 10:52:13** +Generiert: **2026-05-06 12:30:01** - **Trailer**: `BehindTheRedDoor_Trailer_REFERENCE.mp4` @ 25.000 fps - **Source** : `BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4` @ 23.976 fps @@ -15,7 +15,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | `?` | Vorläufig — korrekte Szene, Phase im NLE prüfen | | `MAN.` | Kein automatischer Treffer — manuell setzen | -**25** Beats gesamt · **23** automatisch (**5** bestätigt) · **2** manuell. +**25** Beats gesamt · **23** automatisch (**6** bestätigt) · **2** manuell. ## Beat-Tabelle @@ -38,7 +38,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | 14 | 00:00:53:21 – 00:00:57:02 | 00:43:38:06 – 00:43:41:09 | 309 | 0.626 | ? | | 15 | 00:00:57:02 – 00:01:01:12 | 00:02:10:08 – 00:02:13:03 | 17 (+1) | 0.650 | ? | | 16 | 00:01:01:12 – 00:01:04:12 | 01:05:12:12 – 01:05:15:07 | 451 | 0.626 | ? | -| 17 | 00:01:04:12 – 00:01:09:03 | 01:31:18:04 – 01:31:20:02 | 623 (+2) | 0.399 | ? | +| 17 | 00:01:04:12 – 00:01:09:03 | 01:31:26:06 – 01:31:28:04 | 623 (+2) | 0.399 | OK | | 18 | 00:01:09:03 – 00:01:10:19 | — – — | — | — | MAN. | | 19 | 00:01:10:19 – 00:01:12:13 | 00:16:48:13 – 00:16:49:10 | 126 | 0.403 | ? | | 20 | 00:01:12:13 – 00:01:15:14 | 01:28:04:17 – 01:28:05:14 | 613 | 0.663 | OK | @@ -305,11 +305,11 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. |:---:|:---:| | ![Trailer 16](data:image/jpeg;base64,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) 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) | -### Beat 17 — ? / Vorläufig +### Beat 17 — OK / Bestätigt - **Trailer**: 00:01:04:12 – 00:01:09:03 (4.64 s) -- **Source** : 01:31:18:04 – 01:31:20:02 (scenes 623, 72 (3 Segmente), score 0.399) - - Seg 1: TC 01:31:18:04 dur 1.92s @ Trailer-Offset 0.24s (scene 623) +- **Source** : 01:31:26:06 – 01:31:28:04 (scenes 623, 72 (3 Segmente), score 0.399) + - Seg 1: TC 01:31:26:06 dur 1.92s @ Trailer-Offset 0.24s (scene 623) - Seg 2: TC 00:09:06:13 dur 1.04s @ Trailer-Offset 2.80s (scene 72) - Seg 3: TC 00:09:07:18 dur 0.50s @ Trailer-Offset 4.00s (scene 72) - ⚠ Score 0.399 unter 0.65 — visuell prüfen @@ -321,7 +321,7 @@ Trailer-TC in Trailer-Framerate, Source-TC in Source-Framerate. | Trailer | Source | |:---:|:---:| -| ![Trailer 17](data:image/jpeg;base64,/9j/4AAQSkZJRgABAgAAAwAEAAD//gAQTGF2YzYyLjI4LjEwMAD/2wBDAAgICAkICQsLCwsLCw0MDQ0NDQ0NDQ0NDQ0ODg4REREODg4NDQ4OEBARERITEhERERETExQUFBgYFxccHB0iIin/xACXAAACAwEBAQEAAAAAAAAAAAACAwEABAUGBwgBAQEBAQEBAAAAAAAAAAAAAAABAgMEBRAAAgECAwQHBQQIBgMBAQEAAQACEQMhEgQxUUEFE2GRcTIi0YEUobFSwUJicoLhBjOSFfAjc0MkNFOi8YNjk9JEEQEBAQEAAQQCAgMBAQAAAAAAARECEiEDQTFRIhNhcTIEkRT/wAARCAEOAeADASIAAhEAAxEA/9oADAMBAAIRAxEAPwD4CAwWdjLlj1Ayy2jNPVDWaNo09RWxmK7JHcrteL2OhasLyQ3MZI7k2FpqDCO5fas2yMYhVxdVnYVpooaa1KVMq2WjtAeALdOP7nsL0MoLNNcI6e2PuhRLTx4YPoTbieDmnZizV1wTZpxU4PTnGhefcGWXe3VA1uDIoW6BasyNys0LanlblWoBqeUNyhuqBhZlDcobphbVmVjKzU9QNWZW5VplAwnlZyhaZS2rMrcrdMpbVuVuUM0KatytyhaFNW5QxlC0LatyhtAtCmrsoZoNwWmUhq/KNzOULTKzsujLFuWK0yszLpyxblitMZmukRizljuWjKzR05ItyRWjMx2OvLFkQitVjqzXudmSG5no4blqYygM5ep99Dl9oAVMP4Fw0dgfdgf0Xjfdz4dZ7O/LyvJuS/zQ6q5dvjSaXRWen1N8wldMYmYhCFu3EgzuXJyEYisRtJIetH9kJ6y9y7+XauGp0vMJX4R1F21LTy08tLHPfGotZrmXo7f9wGMpCQ2YvqeU39FprWu0mpgYWNdZhblctQE5W52rguW55CY541FJCoNDg9bTc45dyv3DT6eE9Rp9PPVz1EzAWZXDrLXQzFmBlLLkt7DI+aW2jZ7kS+1ny+a6vkOkPLr+v5br5a61pLtq3qo3NNLS3LYvEi3ehE3LgnalKJjtjOJpWOKGh/Zq/cnrjr5nl1nl1u1c1U52zduxN+QjZt27UZRz3LhOFZRiBUkvvLl7lWh5brNHo5T1EtdOx0k7lgWI27NiRnGOXpJmdyUqVOEQBgp0dzlmntcx0Fy5M6bWxsZdTbseeF2xPPGUrMpgyhUyjIZq8Q3z/pP4/wC3jdX+zps+4XdFqI63T8y6SOmuziNLKNy1LLdtX43ZmFqUCQc3SGBiags88/Z88l/l/wDqbOrOt03T5tP5rUT0s7eSFz/Mxj4wACdlRi+o5tc0V3Q6Dl+klO5a0Z1FyV65bFs3buolEyy2808sIxhECpqcSaKea3NPrdLyi1CRB0ejOnu1hgJG/cn5ccRlkG+SeLz+j/Z2chr7nMLh5dY5d0UdSTaN690t80tWbdmMo5pyoSazEYxFSU9VyPQ6K5o713XXJ8v11m5d0+qs6Uyu5rU8k7VzTzvQyThLCVLkhShFavotGeW2tLzLll7UXTp9VPTXbWrhp/NC7pzKhnYlcBMJCcomkqjAhHmE+Xai3ynQW7l6Wj0GcXb0rQhcunUXxcvTjaEpZQIjLAZqmlS3UxxObfs9oNFy7R6qxrtReva6f+m0t3RixduWa5feDTUXctuUvLbqKzNaYCrj5dyXVajWXNHclZ0c7MgL8tVdjajZ8wjjU5pyqcIWxKR3Pa57ct845rqNTnMLMpiFiOT9zprfktQEK4ZbYHlHGrzfcrFjVxlC8btu3djKNzo8hlGMga5CSYkjhVamD1nKrug53qOWWzLU3LN+WnhkgRK7KoAywBkak8Kl6/OeRz5LDRGd+3elqrVy5IWsYWpW7htyt5wSJmJBBkMKg0qMXdd53Zsc/wCbcysWLepjrZXRbN7pbdy1buHzG3K1chOE5R8pINctQNqPPOcaHmHLuWafT6S3YnpbVyMzE3iLVb05dFb6S5IShIESMpVkDgDRI8wqmuGxRNyOfqPE8q9jJ6l6tcXnXYAYulZwkMEsGnglTmDahioZwSrUNqGatqxEVDODLcEqKhtQzgxghFQ2obg3BotQ2obg3AsFqG1DaBuDRahtQ3BmgYIzBuYM0DcGojMG1DNAwlWobUM0DaBCG1CWDcEIq2rODcELVmrcG4IVrFEsEJbUNwbghODcG1DahgluDahtQ0XBnBuDahInBte9tRuZqNyH0GIwCVGIbAm+Xr7r1z6LyjcGMo3BNgowkxG4ImI3LCgWsUqg3IkBMotc6WQEaBMol3GAEBigSKLqICgQoFiLpmllVMLyrkEjl6gPOuCoL1r48peZJNRh4slk+ItLVA1gs0aiapY0B3o0osqTAR4A1Pew1DcUGRtWKnFmhSaWKHFijNGtRFGWnYigWLNCgygVC2hRYQPKW5Sg1Jo6FtEEkoqNa2iEMbG0SohDasYoo0yrKtlJo20wqiAu8NvJ9UhKXs2BKGhYoWWoRRmjCQohaNSwYQraFLDc3BoijaM4NwSPpEdNqogVsTpv2sGJD9Gt2M1qB6h8nz/M+XUrdgNniH2vzr7u9Xfy93HXNjzFGCHWYUVmLvyb8WUhB0GKsxdSufUZyguIVkO449QooFaVbqOdCgmiXcQDCTWs0sq5LVcky59/wl5c3rXvCXkza1GQ+ItOxp8Ra1QUWQtmYlSnljmQdenH7z/DKTCRb34pUWlAs1cZyzEJFoaoqNonRpYFtoyQ0ILIbRYQwkBRoSYaLSrFEg2mKAUZosoxRICjaJJUShSbRlAWQy0MEGNUDE8VxGDSMD3/AGNTGdbCBkJEfdFUaOiwKxv/AJB80ExgeJ7E6JURKVaM0aE0EkMhktohWs0ZQijUmoQyzSrNGo/SNivRx7h8mLgBBBFd7ns3BGA6gOyiUrox7PR+T3P2v+Xo55rzOu0nQXMMYyxj1dReZKL6rURF6BjL2dR3vmrsTGRB2h3zXq5+mSQUyDokok9Iz1CSFMlxVF6Rx6JKsrSrLuOVAiUii7jAUUmC6jNAqktKqSZYr3hk8qT1b3hk8qSWMcvEWGZeIsOmw8XXYP7z/DLmo6bAxuf4ckgigU67EC5UksjaykGgmSWUChDQ0MoVFIoITRiiQ2IkoXYiSjKaAGZrJmduJLMYhdAEHDaUmhFvfgmIJC2TWROA470hhsSh6OiOVdUsZ+5GkZTuaAtNwHBFGhLBOHt+xko7+/7GLoHTp/Bf/JH5ud02fBf/ACx+aAlBMoIEEmGoUhgJFFolhKjaJEMtokEqA1JEofcbd/AY7Y07E+nwHYXixvGkfZ8k+moSN74Ouf2r6HOY6hv+n63naoZ/MNvFUbxQN1eK7jDIqSVtzAucydyMWhJUkpkqiXcceqElWSyUCXUcrUItYJdxiqiWaoF0zUFUVqqTUY7vhk8qT1buwvKkxYxy8RYbLxlgYumhL7J80x/85KAuseOX+HJKLgGG8B3NcqBIIptBoELFZLBWGWEylWUypJaJJVmTBLcppVuIgCrpAFsAnGuxCERlqtqCRxADQEayk6Kxhj1bd7Fi2JiRKycQaMRmMjMgE0iOG91DEUDbdgHalOM4YxFUqRZrtPsH2uiFmBwo5o3icaUPdtd9uQkK7EMtzSR4YOIgwuAdr2ZF5espmjTbX4IJltV8P0vsX5cFEsO37EIdFjwX/wAsPm5wvs/u7/dD5sVBRDLAQJKjCR2IQ0MNCDGGKloKFZAayGqlWUyjSqR9IhPyjuTzvNjqLeUeYJe8W/rD5+ufX6eqd+jodIwZuD3m19Qb7zb+oM8annPy1SNXNI0QOptfUpnfty44t8Wb3BmSsyV5qomTqcud60ZKJKFWKupGLREo1YYdIlFrDWbUVVyTVyKRku+GTypPVu7JPJkU1GOfiLCVzxIDa2KYF1j94fySVBbZ/eH8kkouA7mG8B3MVYqCkNiLUptQrLNUSxE1RaVZk1lMipJqyTVF1ImjApiUzMcaq61KzJUltVMfNicBsw4lZSmAQpXIN1VgFCGA41t7MM210CNQ5bsqZeqtXXblmAYGQDpBFFEjlVi9EnKcOpKKeUnBs7vRAU/ooxBhI08w4dSc4xlE5qb0YEajNEk073BOfSSJ4OeU+EcI8P1trwamtfSVVSPzUZjVZ4mImq+0fJe6xCnsLlAPf1LRKUdkT7UpjVPSyP3VkTLiEumMsJVYBKBlRIlXJDRaMLoOOUj2ii0WJfdMT8HmxmbU68Dt63p2pCezDc6xncLlbnHbE/Nge3sezarlpJd0carDzcCoaHunS2T90KjorP0ntKw84+sWOWctyRPulgmg+7+t0jlvLR//AJNP/AHPau+SPcFovPze+uvK+t+3untzBnl/LyP9rY//ADi47vJeX3P8iEfy4OvpUDdc+XX5rU4k+HBvcgsiuTDveTd5XO1919jK5g45yq9efc6Tr2+b8PGS05jwUStkPqrtqMuAeZd072nua4de1+HEysULtnZooMXpK43mxnxYWEI0ds4BrLCQCuSxXJIyXdh7nkSevc2HueVJLGW5tVjasntVDa2NGgrbPj/RKmqy0fP+iUo+ARLHAdzFWKirGZEokrE04zoqMyg11jNqalhrW4ita1uIrINGGpTbcvNi6qOB02JwifNWvDd7WWK0G1miVMTK0XpWoiUa7WJ2oy2hyqbU4XApvWgevdvHtUXLduzjnNeA4qPeJnafYl1r6SNmOMvZxc92/wBKOKHknia161B24GrUtRxaW7WkUbjKuiIz93AKIipdkZZKADN3JYOMKcFwishGJFSaFASiTQEuW05Adoc9y1KOMCSOI4+x3iNMdqMkMELsZYHtWSFFF0ATzDYfEnURptynb3dSZ+lNEBEz8IMvygn5PX03LoT80o1HDMa/DY9iFqFoUAA7mzlm9PF3oShhKMondIULOnkRN6vOwOktHjkNfYXk6b97H2/JuG69DbuVjEuqM6vLEnZbk1mt4SVQKxMvcwunKO4LOlebCflCfSPzup+1fW5vo6HSsdK8/pGOkc403m6pldcZuKpXG4y0SvB5mp5potPMwu3hCQxMcsice4FmU3xn7Qf76v1WofMvT25Orjn7nXjzrv3ubaW9Ax013PcGJ8khSA8R8wAUS5ty87Lsj/6p+jydBbgRMgYmAif0nSNDapTo4dsn1T248l9zTZc10XCVw/8ArkpPNNN/9P4CkdFZG2EB/F6sjR2T92Hx9XXgzeiTzPT7rv8AB+tA81sfRd/hHq6zobWUkRt1H4a/a8K8AYggAbRg3xTXoIyE4xkNkgCPaiUNJjpbP5AOzBYXFGS5sLyJvYu7C8eYSxlntVcU57VbWjSzb8fsKJZt+LtQjOQB3PQtaONyIkZnECoA2dTzZcHswOSMDwlGNezaktAdJZj9R7z6KjbtDZAfN0XJOWtS1AyjD6R2OW4BHg7OtxXDWRSlta10wrWtQrWtaK1rWKZC7O34ZEJ+83fq+AUNZhopSMjUmqLWrEESS2uCLUqta1qJFXdppZcARSla7ieDjhU4B1wy29oqNrlqN480TmAB6th6xuUC2Aa0B70oXIT2YdTpjHBNlxJjw+NWapEhDMhjmRmO5uFMtP1huSVThtJVnNGiYr1Ghn0unhL9HswdRcPKpA6b9KT0SK8C6jnXl+bmuoA+mA+JeTaJ6SNN4e7zq2AITAxJyk7xR4mnGa9Dv+WLGp9OqQ6bAlXHZvU0XwJSNwKwFzQ2LQWo9NC5glnccJYJ53xWetfR5vo05253NnYzMxdPM1cpKjJAyZhqTJ8rz4f6i0d9qnYX0Rk+e55jPTH8NwfJ37f+zn7t/UXLBUS7ovUnIWomctgDy+WGlok/VT4OzUGF2Jjm2YkPtjxOVK/qNUa1yRGwcP1lGPTxNayI+XsWAZ5ihyDYBwdlqsJyzRrEfeDRo0t6ROWWNRgfV4N4UqN1yXzL1tJ5r0pkGA4De83VYXLw3T+aT5dLl3+0t9RmP+xdBcfLJf6eQ+m7IdtHYXj19umMtzi8i5xexPi8m4NqWME9qtZJXVqmNh4u1iobA+ZCJbA9kCtmA/BH5PGlwezGYFuP5R8ms1nNdh4NAaTmnglOkWWrCZ/AOAmpK+9cJw2D5udshVa1rplWtagyNuU9gXe7da+zsA6nSBVmrjFHS75LRpYdZdeVkMGb3S1uPaW+52+vtdjUMPulvr7WfdLfX2u6jOC0xy56eAnbiB4ia9wdPQ2o/cilqMMlwY5Dj+U7SkZwpXMO1KCNiEsckexGVm19EWPeoxwqD3KemzGuxGC6G2K4fFOMKDy4Bi3IVxXVFMEuLs207GelUZ8aSqO9OkTsKUZkSqMqMmchtj7QlEgitK9RShFzZuU3LoMgN23qUXITzE+EE7K7GIRoDXimbXdN/wBz0FqMJUuXakHcCakj7HDC7OWJuTP6R9XHO5O9IZ/uxEYjgANyVidJZTtTMjoTHTwEZykRtGOw78XDCxOxqI1xBrlI2HB6UcpGxKUahurhNVsZcHKZUNExMKMVsE0ukcokzmamO2OZ6SIH90dh9GP5to/+T/rL0fGVkOMe1uY749rP4eL811/l6n4ez/m2j/5f+svRP+Z6M/50fbUfY+KzdYZBHFv/AM3N/J/N1/T2o12nl4bts/pOiB6bC2M5/D5vk+BzgcHo8tuXIGUomUBSnlJGPW47/wCfx+W571vw9l7jqz/lS+Hq8bnPL9ZOFoixcOSRrQVoC5JcxMD5blyUt1uUie0GiUf2r5lZjK2JZonCl4CdO7CoPteXPFl1b3OoxRz2dHGoMZG9LAihoOoswniZVNS8/Ucx1WpNblyvVQUHwZjOVBV9Eed07UM8uvg9CFsQwqDjiP1PnLl+UDHIadayF6WEsxqePq6Ho60J8vtHEPD1f72710Lss60XPLOleB4Fy6wUuy64BIby2VIXR+MHtDulN5WgNJXR1RPzd0i8evt0BOVXBd8J9rrk5rvhl3Fg5Ujiiyw9IlqshhkAk4NRD0c9AO4OeNoDbiVlHNUQJBrVg1lxYqygmVqe0Enqc70QjO1GfUd7pGBqUoGBxRaita1Do2JwyDHFf0gDx2uca12emCPTR3jteQ1mGuqdTEfeCHvcevsea1uGt51p4BUdXcO4OVKMZSNIgk9SxNHK9cltkVT07XLLk8ZyEOraXpW+WaaPiJkd5P2Nw1xLEujhKRjXhV3gZwPDR6vQacRyk1jurh2IdHpIimUMw8nM6G3vRNuI2SegTpQcLcT2uW8bZ2QFdmFXLUtpVDHCoPexkidgx6kujNDUk7glDNE4YUGBZrRcZiG/2qZXtvB0zhOccTi55W4zFCMpHxWnqSK3BUlHKVot3YjAVA4cUM28EO5Y53Q0LMAfE2UhlNFkRQYOvRDoTmBt7VpvSO4OVESNVhtaJTJ20Ks0ZqEsFhoKTGwpZriQVynlOLmymufgyDHcxgz5abHvzzPzBSWKlkDMaBMRjHxGv5fVddePz/4YGIMt70rVuU4RgZCg2WwaDH6qYkl5/SU8OA3JWr0rExOFMOEhUPK29NT0eoscsuSjjK1bHAREpE+yI+1wa7k1yEs1nPOuMjIZQO5K1+0OrAoZCA4ZI/YSxPnmrkfLeBHXERPxFHj+8rp+mfLn29Bqa/us3XjT0dh0V4YyAj30Ru801Ett6cu4j7A45arpD/cMpDdmI7S63pzvit6MIyruFKH6juotBsRAjW4cOAiXOB5vMYjdQ1y9ykRoanHq3uojb01sf8le6LFy+JmpzE0pU0+xxyy8I09tWDk4CrdMbNJMRumvGH2u0XoTOUSqXl2bMpyww69z0LdmFrZid7i+rUGVM/DLuKwqp+E9xcK5LWtesYqQKumMREdau3GmPYsqquCYqjVtWKKqVVVW1QdVkSV5kwkHgcCKqJ2OMexczV0jnkEbWHoTtiY6+BcBBiaFIhrIBOwErrWnuXZZaEbyRQAb2hUISuHLGJkdwFS7Ry2/96ke84/B63L5W7UpRiBTf96VN5+x0xn0kpMHFHL4x8cz7B6pjT2I/cr3k/qd15yFgdDTWJfciV8bNi1sAj3Fz278bcSDjuVzvx/8LT1aZ3rcPD8VHvv4Oxy+a4cVma3b3VZ5NTky5flxwqroSaknqUkm5sB21ruosEZUodlajePa5trc5igmFaeIlZbApWoqwQCakYtGWPEkbtzloQlRuYqzU4hmMZHiWB2ZmpVG3LexS4NxQcKbm5YGvWqFwjaCsFyJCCTpRLxebcdlFE4Ss4bRwPq9CoPFpNB5tm9s7sZs1yxi2julZAxABCmVsgVjjTaPR6zuVjwIqsBV4FmlHbJtUT5mAW8UjntayNrlU0IFWASK9bJKLRISoEGsVJpwYa1IrNe5hqB4hGpYZYqQFkCKIBoODGnagBCIAYJV5sB3ImThUkq5eE9zSVc5eU9yGBrXpW9AeiN24TE0rGNMT37ne4yzHAIVZKLFE0mgaISPV3rOhB8Rq1ExjEjezlA4JRgI7EyG4moFEwjRMCjcRNKsGISYQjK6NP0Wak7cJHfIV9jnq0odY34Wj4Mo/CBQLeljPEGMgXkC9XCWLMr1u3jUd3FI6tIROYRjXqwedK5luSpscU9d9MT7S23qOkP9yP6QZRvzZxtc047j2oTqBWJqPi45XAeNUuHSluNUaqwkZUctwyspdQTjEcMXIZyLotSxZVaAJM5TvK2EqpFikGPeiYjeV5UEsBi3EjaUsoGwlVmwZiSg8kdbc3UiCnwSrXqZyRlwDFExRBM7eXGKcThjiuRy7sHIVE0O/qZMRLYadSOQZ827giYSEqxIA60rBcErUsRUE7fsaJh2XrfTRGyo3OOWjux+nte3PTnYnOE82Dn93udXanCxdwwwrji62MYyta1Cta1qq1rUK1rWIrWtQrWtTSWsNZg6gOHsRqrBwHcwS5URkquHylmvB32bMbQzXKZtoHCP62CNLo+jj0kwDOlYxOwdZ6/kvuyvGJzAY/iQnqxwxcU7sp7SsvS/RWTesAAYqy7nLGpZCNWusQbNVdW1QZVmqkliqD8zFauY3NwqkBM4mvsSn1COZkV+lKnU48jGMxlORxojIQGw4uwxq5jYmTwXkuFRAri642TXMP4XOYmHB0WpkrVw4ShMUOxxzsCuBo6jbrjsqrNsjizQrJLqWxtjvQnglZrtLFDOJCqJoXpUEtrlnZxwSn2Z1o6S5Lccm1dVgspKJ13F0CiYYaxCqwYO3KDuR6OO4IZgSsjVb0Q4JdGhATo3IyIlghpDLNWBVQcEJZsppwV3yRILrchIY9zVZhcHBZnMtzhNYyosjOjQ/J1sEUWA1YISOK1rXs5q1rUK1rot6a5PhlHWkZ1kLNyfhiT/AF1vShp7drE+Y9aw3NyVzxo7vUPa33Se+Pb+p2mZRq5vSyMvukvqj8WfdRxl2OglrPKrjN7tH6iwdNul8HSlVeVMZ8k4jZVAiXEUddQiaLTCbZ6M1GMt54dzMrkpbTVIwB2K8shwdTE9VqxmblluYySLUTmZq0W95WCMQzyMLGOxMRJWVYMmXpfFGQJZQji2rNrWQygbQIYpM0wYoOAZqhiywGzlYZqgBiWKEMkpAlDPIV4MRjldW1XKIaBqhKSJqGBiwXLmXAUY2IGSDqsVCnMSnGBKBElZEb2Y25HguFgoLSW9CUTbkODBQVgCuiQkwM4tqyizVTVNUsDFScUK0TKMg0Iu28+KiIMSvJlFLCYxUqs8owl4u1X7uD4ZdroNkbQe1ohIOkKETHangty1GLmNQaJHHa1ZC1K5sHtezmWvt2J3Oodbrt6eEMTiVpnTY0DCzC1wqUjc3KzJAlxauDMiUCUatcbrWCqwS1hC1ZxYqiZUQYypzLMyB0YVGaUZINALNEM7ekQOiNETKrQJFAqMiKQiygOUNoGktQmgbRtGoVlFIBCWUhFtEAq2quR4LrcEJjCq7KAl4UDJmriT3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| ![Source 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hjLP4/cfhH8d9i+ae8bPayi7Mj67Z/EfKR/iFj8Xq+Mfx32HzY+8bQu7QDc+/VMn/ELH4j9/TIPiFnmY/j/AEXyz3ajNXeZ1xqGInxC1+9EbmKW5SisPRH0Vnlyy+Rs0SJiZeBWXI57kMmATBJg1lyM7RQTIrIMadgaZmK9luiaLTNxXst0QEc5c2PQYwj59j6YwMqNKVEc2v03/wAy36jGwji17D/5ieowpwRgGEYFZCiymQ0FTnKxgSnaJlqSS0bs4lSFaC41ZKCgrxMS4xQN7PKaM9jLk5AZk0jlQqrQbjInmRvElUAhgfpV8jDVe7XiST5mScLqCmk7avf0x9TaZ11qKm/tVPVlSk0rDBgOiJR7ayEQuMLjZZxI3jbrUd3ieUJKazctkd8DVy6emCtEcRiHS4ACQDtQZecaYq92jBa+z7RGxi/iF1FQAe3w6hxMxgaDpj0i0+7WoAiLHP0D1RDUQ1eEUK19PCGilOcM4Fz+R19LCkOkQRLoHdUdNaGCTiK0Ii0rZ2BD4emJoHpnn0RTh6YjCYkt/s7i1AZSQCOYMNjGl4VjhVudhZY0BZD5j3wXwN8ZrRx1ZeuNcFiBdCo5zGXX1GdPhxpUKTUcJetsuqxzz2rqU1W2z4jP1VidQDynYhFoRQQWw6MM1U9IEOk/k/TkSRLlOkfw7Dkmtse8eqNz4VbOwI9Ji6afyY/tiyzVPhS1yL+jM+qU+FAfTcHlRWPkKeuPVHXj7s4CVo+bw1l2vAD94Z9HdJrAPh2JYdzvfyuvrENU9z3MxLzjn/DMeP8A4wf51HrIkHA4pR3hbH+4nxgNz3hQWTThDFkx2q5CLLbmFVDMWTHCYdjH9uzWauGwg4iY5Zab4cfUy7HhrX+73hXKo3FeInHY1MbgMTew127d12X0nvtmN1YZ7MpBnsuGtrb2E4X7d4cLj8LiQMsRh9Ddb2GpU9ehl8pPDy3LPpvmdmvNwTDjmU9Ze5j9kPD38a8aw1i49xrNuuIv1Y527VDpOf030r0Vn0elnCDbD4cdFm3/AMs8Z/8A5rZFv/EsVQVpYw6nqOq43n3Z6uuInP8Ad5W8mpb2jb7bil493y1wLI2tWh/tp8IhfsYa+KPatN0ovwjP6xKb85e/vW045GNjfAMFcqUQWz1bTk8X4M9mtBUTvbl6omfeIIzznRx8mWPmlnxYZeI84uYdk4RsUInZYrDo+wmDew9J24cm3DycHT6MciAY7e3SIMtJtK5bNEZBhkQTKQSaZ2J2boM0Xmdidm6IhHNPx9MYmP7nH0xg0qNKUEXt+w/96fON6xa2e639y/OKnBNEiYbGkSJho0hqGA90xMtE5UjO0RYmDLLLSsmWWAEGIj6wylR5UmdF7DIjjWCVy23EVhxp9jrRuYiVi42Hud7aamG03FLA6gTkZF2zbcd7hxEzWm52dxdS/l6ZnviFw4oubHhwEZveXUwQnSNubSaoylmqDzr8pRXInec3DqI6ecQJFJaUz25SsMqytISpoRH9m2TnTfjGFsAsKmg5zXw7MWA0nR+LnFV4lkTqi2gEZj0QLr2kYAVz66Ryo7tRU8+qS02yLyNh21KSUJ4n2Ty6IqGV1yyI3Ec4gdwgioOUz1qE27yerh0wRe1VnBagzJ4DMn0CL3PD8WLDX2taUUVNSNVOenedL4bgbYtrcCKusBgAOB2qdzHviNBgsTy7G5/SZcx7M7ybunnWHyvJ1mk7GxdOlNW9KTj7ApftV/Es6O29DAsnQo2qOeEYWGrHoNZTMowz6IWjKQM4r1RgnokCyOjnF6CTGRIIq+yoHXxiZVm4mOaQtNYwY/VtW9fOU4S2Ae6NjNCggt7J6DAOdw9xboyyIyKnJh1EHMTRtpMsnTjcKAB/EtvU8Tp00B6K5dM3bYpODJ24w4s25p26CMEMcK058u7tw7NRHnK/bcB8FgLnFMRdT0PaB9azeDznftc+rAYUf/lH/gvFxT/Zirmu+LL/AL5aX2BfR4bjOvFj3WEndre655z9i7mjBYta7YlW/asqPlOyF2TzY/7Mvq04b/qx+jY7eXt5ldtBN2ZdLTbRa/G1zEACMXvRrduZRyFtcb4lYwdl795ittKaiqlj3jQZDPczmMR9o8Fi0azhHum+6kWy1ooKjMks22QML7QEv4TjB+4h/ZuKZx/gyK1yukalFwhvRSnvnb9vxzObviuD7nlywvTNas/LdufaXw5tlxLZDPslFfN4zb7Q4U7WcQfQg/645Xw6yBTsrGX/AKz/AM0v1PDA6aWgd6dmPjOqcM/f8uG8tvt/BgfHrXDD3fSyD5mTZ8YW/et2+wZdbBdRdTSu2QE1VwNsqSugZZEW0+YM5QNTGYRsh37VabfqUldGkzLbq2mdidm6JpOMzM/E7HomS3MXIwaaF2ZxlYrpTgJKGit0r84HCGnsnpWMHOBtJinYXCwAAppoMzwNQZpthMLaGVvV/cS3rNIw8NGV+m4CEdIYx7duagDzjR3pA6RkFUdAEaXqFWNBQe+L840xR0qFk77q12MpEmRNEJkyJMAiWTIgClu9ctewxWu/X6ITYm+4oXanLb1RGREEwy1QB7uiJyYAozKT994mTWRLGBBSRNzCuwQBWWlcq/SXiDyPIzHtAsaefUJp27i2gKpq4VAJyk1pieXLas2XD0iKLqTYAV3pDtAHMZjh+cNmAiX2Nr7UtRirHq5fAx5ercWg3qIydLlCeoQRk7Xwlu1wNonLTqT9ljQeUT8YbRgMRuO5T9ogeUnwNv8AwQT+N/IGlTyju/csXrboLlpyVYFQ6tw5Vl+GH/t+XmIzuLT8Qp5zoyveynPYYar9ofvr650w3iVWlhzoQV9ox+pmdayzMeBo2Z4r0hdoFjLXBd8o9hoi8p4ye1TmJhdrEWvEGUHSC8nMRVG1hioqFpWnXOV+sGaXh3iIs3SGOT0Wu6q3CvTtAabGsSswCmtRkeBiothXN273m2Fdl6h8Y1uXTiGbQdIoRrAzpyWu3TueqVohDwnAXWs3+2vXDhwzLbYaVJZfZLe1pqNhTqM3sbawD+Htew+FuYa5Zv27VzUzlWDqTTvs2YIG1CKzmgLyYe4e1OSA0VAu3WdTbciJ02PxV58E9sqdGm3eLmnt9sF00A3oa1rPD4Znl1byuXTff0j3/uOiTHWEwtm+09axFaKq0zrmISyhdq0XTWmftMFHvMchpvY5saeh5zH2pvVXBWsvavXT6AqD1mbofOcN41iRicfcINVtAWVP9tSx/aJ8o+Kf5/QcuX+H1bn2SxAXEYqz/qWrdxem0xB9zid1rnknh2LOBxVq/wAEajjnbbJx5ZjrE9PFwHMGoOYPMHYw5sf8t+58Gf8Ahr2Pe0gm5GmuQXmOm/UcM8b3HyibPEbj5RaHUYeKnV4djB/6H92c5DwPO6f7W9+mdZje9hMSvOxd/oM5HwHJ3PJB7yJ2/a+l+rz/ALv+0+jf8RxLYTDl1zdiFQHMVPE9AmB2GIfvu51NmRU16K/KbWNNtgH9o29l6zsRGFkPp1qdZLgdmTnOxyT0aHh9+4GFtq0NRQ7qfhOafuXbVfo3vVeE6O2RdxwOkqttaV5txFeOeXonOY0UuXf3b13+oGFE9XY3Nz0zNxOx6JouamMMRx6JybbacvemcZp4j5zMYzTE6IbQ02PSsS1ZQ0IofRGD/wAL3v8AQvrMWetSPTEfC2C9v/L6zHDkNcFIZJgKaVrM3FZMo6jNO8wXr5CYjuXap3k4nl6AkyJZqhMNUZ60FaSEXUwHMzet20AFAIrdHJtjrhrz/Rp0xyvhzndwPR+c2FSKqBJ3T1GN/hn758h8Zf8ADf3z5CbtJNIboYi+GpxLHyHyk4bC2dLsy6u+yivAA0m0dIjG2Vt3Lts09rtF6w2/kaw2AJhrbV/h2wB+6Ik9iwfoIOgU9Um5jUtHJger/tGwuM4JIYcdjtDurUKLh7RqAnTmfjHAHZflIW8pAHVE++DWmsdW/pEW16LrdevsrIa4TwziOpW9klD9+EUS249rSRAEy5Vs8iInevd0LxNPTQ1Jk37AYHvU4xiiqjVJJlSbRctOgxWIFrwnCWFJBvM9xxxKByaHqLU6aRrYoQKD3TNZnuMNZqFQW0/dUbD31j3AXtI0tuDTp6IWUsdFXwiG6l62ApVxrXYEfiHXzEc1oY5yIjFjpbPbcHnDZZ4+x+jxQ3DGC3VPERUvlLljGwqbx5yO3bnGbXIHadcBo71wHYAEnhM+5igu3nGr37joanIjgIrlFTE5bEn2xWlKlePv99Ikl7UKFmHHelDXKp3rxy2gg0CBzVsuI7tDttXrPCIX279BxzMlfo2LfiWLt601aw9CzE6tZHMk123ju141jbK6SthhU8GBp1UPDbac9bJHPpEeqdWYA255++G7C7PW1weDe0UbtqOlC4IGnLhVaV6Y2v4QWsO/ZjWqYe6uvTaVs763AKIpc8a0YDiZUvOi1S8i5Ci6suiAcScz2lqvHj8pxY8fTvp8/qvQz5plJ1f8xzWOcfVL55Kp8mUzR1iph37Fi4CSUAIIuKLeoMa7gEZZb8JR4hgMLqF3TcHVYz69qCkeWOev6Zfwzlx3/fH+UK+c4DxS2uExT27D9ontfiKlsyjMNyDx5bzS8X8VS7c04O5et2gO+rLpOok5VqTpptnOYbvMTqB6T8ZvxcVne9t+GXLyS9p48n+DK3sRaTEXRZtM38R8qhaZgb0rtXhWegL4t4dZRUW8oVVCqBqagGQzoazy/Sea/tL8Y4ZjWoW0gpstwGp55uTNrw4Z/wBrZ9GePLlhO0l+r0f/AB7w/wD1v/0uf8sv+O+HH/7gfsXP+SecamPFP2x8pNevylT7Pjy9Lnf+/Q//ACuSeI9JHiuCf2cRaPS2n+qkd2hcxeVhTd49zvCnMkZCeWF1FaAnpm14Lfu2rd5lZrSEqCFYqCVrmxqBlWY832c45/a/lrh9zcv7T+Hd3/C8f2VwHDv3kdcqHdSOBnBYWxicBaxQvWrllwtkAOpG78K5H0TSH2oxvh514W/iDQ5kEm1XkdYZT0UmP4p9pfEfFnZrrW0DfQt21C5dVD05UkcOGWHtoubLDOed+xyLmrUcyWOdfcJpYawukNtnlU/SnNWrraRqFCZAxVw3GSvdFSB1/GdW3K7erLTu8NxuCOBnIeIGt3EU/wBQn9pKzTwniO1u4ag+yx36DGHiIAv3acSh81pAo6IXdSIeaIfNRGV56wbFzVh7J/8AWnqiVw1nI3ZOKyX0zHJmxjfY/mHzmNNsPQs1hAwYaKWNBLQd4NtPadC/OOQ51VBpEFtqgp59cOsj1V6CdS/E+ecY3bL298wePx64/BimTChzB4Sk92LLHN6ybWe68Dy6jEDGB2f1E6Z0SUSk5kRz9avfiB9EmzZyui7YCCbs504m8fpU6AImbtxt3bzi0e46JsUq7sB6Y3fxK2NiT0TBlj0W2lc8Sut7IC9OZjG5de6auxaJjObmD8I7SjX37MH6A9qnXyj0VrFUFmAAqSRQDjN1Lja3S4ezK0y2qOc3rODwFhe6orzzJPSYTXcLb2tp0kfGOwpnrxthn6ttxgr2eogah1beuazY5C2lFWu+QG3lM6631l+FBuchnwzAmdsnlpj1XxYFmVzQDPjX5mDda7ZBBWg2rkfVCFqns0G3LOm9YTWtasD9Lr26JHW06WQ7szqprmePKGbYjt8OzirCjDIOMxQcwOMSa1eQinfB2yofTNMc8WWeFIMtATUbQ0XTTqgXGK0DDTVh7jFcgKzWWVlrRYXDTTU05Vlr0xoW1ERyDnGN1dOo8R1wgLgAzrT0QqwHrSok3DfoqZe4jqMSZGP0hJt3Bc6eUUK1md3PVRk1peLMeig+MRYqNgfSY7YRrcWkUUTFwq1fy9WcNqOpIHsAZ8TUxuTHFj+IwStKjzpwlpHbdxxAi1W9qoqOI+cZsukmvDh1RYAha0oBETt28VtaQAr1YBRtufVEz4iylQtuv4i1Wz9FMphaiX5EcVNV2+j1n3Rew7hSC1O8acTQy+vK31ZakP7+Pv3aiukDgNm6iYhcXWtW3PkIr2tsj8jBItOKd4H9keuVvfnY3PEc3fGhy3D2T57zPIoZ0eMt2+z7MHcjMFTSmfAxrc8Nt28MXdrq3CQEqg7Oh4M1a1PCgykXLvprjNzbFhjTxlZChofylymuGO/b80qIFBwlLcpHcpxkhNQqMlG5P3zM2y3xz+2P4pa+qBqY05zcwuHu30tWyFZR7NmtASTXXczzPT3QBMjWtugtVJ4saU6BxjjBY9sDfF62qP8Au3KmnRTj1zkyyuffz4aTUrrr/gDXcKdd62DTUtuyrXCCNgSKIPfOTHhmLt3KPhyx/DWp6So73nSdN/8A7DF3Lft2rbZ9w26jqGqnrjO59oMZcUlrwU12RbWfXUVPunPj809ZGufw30uX8EDgLyjVdTSp3rSvvjC0thLhqW+mwoFLFWYBcj1CuXOsm5jWxJ/iM7k+yuqgJ/eORp5RpcVim41Fu9xrlv1U2A5Tab8sbrwf9vZXbtuYOm2Pv1RLEYgXiSdWo0qW08Og/KM30aR3WqBmdRoacaH5QSqVoor5yuounflt4fE2kw1oM1KCnvpF3MzsLgwVDvtwX4x65nPl6tWfjv0v5hMiauN/T/mEyprh6Iy9Vj60nZr1nf4RtaXU3RnHRaO0oImRqieqWsky0MGNw1IoHjhHFa75xlew+nvLty5R0DDrKJkSI7xNnT3xsd+n840jCx3hsBicUK207v4zkvQDxPRLhMN2zFmr2dsanO1eSjrM7NcQDhbCqoXYaRko6qRJtc6ng4TO7cNBwQfM/CL28NhlNOzXpbveuamLFBMtj1xbE7tG3h8Mvf7K2vI0APugXsVatDuLnz4eRrEXxqsAAAtB3suXKZ7M15siadcLdHjjs6GPv3O6AOnhECxusQTXT5HnIe6lsFVFTygKlxjq9k93r26ts+MzuVraYyFG7pqKCtFXqEUSgtDnvUyAABTKme3ORVUyA3mbTYqk7msUBHOnvjbRU5+6LdhluR6YaLZYVG0MHq2PDeNNF1cwQ3VsYS3ypAcEdMRlextsSaDvbgjfomfiLD2jkCU4fDnlNFXVh07SWyorbHY8QemVjlcU5YzJj0rJDUmg9kbH0MOA++4mcCQxVtwfPrnRhnMmOeHSXk1oaRMGTNGSFQdqCOMeqvONLdS9QNt5pUrMeT1aY+htct0mdfWbNwVWZWIkxTMMO0QHFcs9xuImZRNEnbFhb0mubVrT2uNa85CsXpXblCtjtgVbIIDSgHPgD5RJM+iIy4xnM3PQUH/04oMXa49v6LnwAmZLGXb2jWGKwp3S6el6/wDVDGJwX+kfTpPraY0sNH29o1Lt6xc9kBf2R6oGIxWtAmokChGfL0zOlhobGWqKQJZYyTQwzVRTPPOnzlTf7/faCxqerYdA2gSa6jUitfR+ULSDv3eveJ1lqYGk9MisiWAKCvBR65SWG5pE4QiAlBaPMIFZ0U8Sa9dI2EWwhpdTpb1GTfRc7VvM0bsZS8QZplpRvi/0/SJlzQxLdz0xHCYS5jLotplxZjsq8z8hxmuPbFF70NrJSeZ9UmscYmwMLcNoNr00OqlK1z2qfXGsN77j0FFEUM1CaQVVzsPSdoquHoak1Puj0m0XZqIuqqOAk0qJIUmVoilBIKAwwKCWMA0ClCAw4g8Zs2nwlm2rph0QcSgB8697LpMyKwluaKqc1bcfMRFXRFkvCvcuKw4iM8UEtWQFASjAikznv27ArUUPLfyjG54mD3QhZa5hj6qQ32KTu1Bc7VaExjeXTU6xTrlZlZdVonauk+0Jm3HqczUybVyFNWo9XCHrY5LlzMREFrhG0hpD22KbCvriwDdYjOw9DNdcxIy7KNdBpuYBTbvGO43uH1xSmIWV31NFgABuY117RdW5wpFQ/AAyfayI84IzEMcIjJXLIpqXunq2kgkp3hWscgCkFl3p6Rz6IlEFYUCvmK5NzI59czsba7JtamlTQ8fL4R+toC2UqTnUHiD8Ym1tnQ27mlug5jkR1ysLqllNzTKN7rEJLoNRn8pN3A30P0SOBqAYn9Xvj6O/WPjOmZT3c1xvs18Oqi2OZzjlTQ843UFQMthFA4EyveqiLzb0mdezBmg9X2EYsudDWENkGWaK4EXD7Z/Z/OKnww28ydanl3dJ5nfKX1T3Lppvh2WgUAk8euvDoHKJMNDMozWu+28drh7SmoZwKA1qKdG1axO/YZU16g6VyIOdeNa5nri6pVdNjOlllloWWWWAWWWWAWWWWAEDQGDJ5yIBZZZYBZZZYBZIkSwBQGLYc0ur0n1GNopZP8Ren5RWHK1yYizSCYkWmelE7wL6VUVJYADmTtOhsWXwFpbaJrZu9dZef4RXgI2wOHC0vP7X/wAY5A/SPWeHVHN7FKnGp5Sbbl/jFTt3ZeMD3LxLKVJA36uiILaAzOZiz3GuNUwazXHHUZ5ZCkiBJrLRspWTqiVZFYwX1wdWqIF6bwBdLbZDnFewnc7rSNrzMQAuRJ35RVSpGYJhlFI2kXOLmLNa3p+kC3GplsoGNOPqily1c15AkSFJtNtnFtWof2R2XdcZn3iNL2FC3O5tuAflHX6yDOlMxEmS4DmaxdUPRFbbHfKKvb0jKJvVY/s+xQ5ydmy1Okzaw7hlHRGF+xQ1WLYcFBnlFe4PLhpWMbr1js97eGqJyEmdj2YLnHGS7R12CH6PlL9XUbEwtBNa9EcqKiALREU0ERBOwlYGlQdpNIYiVDY0zI9PxjQvpdq+17qQmfTfI4RDGilxWHFRHIDksbgpl0xPs9PGNrb5x7kwjSRDONo6VEpUxJRzi5HOFp6C+WQ2jNwOMflYzuLrOW1d4QaHbXSlYvhrpuVXyguKJlGOFuabkPU2lctKTmgPPLPpEZC0QBnXTWnWOuahcE1gFkPDnJDjpMiWdbnWWWWAWWWWAWWWWAWWWWAWWWSATkM4BEkAnYV6JpYfw8t3rp0j8PH0zTHZ2hpQAdEA54WLp2tv5GGcLfH0D5j4zaa4TA1GZ3P2X0sn6pe5DzhLhrqsDTbrmlJi66OmGLGm4PlLZVGatwnSM6AZt1dQ5x9kYk1oHbKOWDV8FbuMLiijTGeqCQVNDALTSST0Z23yV1S6oiNTbAxVbTHcw6pBMbV1Q1VmiqW1USS1JF5PZcw90C3CFsQawgZHVfdWp7L2Ns7iKBEGyiDWEKmG6NDpKVMkDKFUST0RjW6ofpj7VWXSh4UMYN0GkASu0J0K57xuTU084BAXWanYR2oIgIJBaAKnrkF6REksYsogCiZ7xUUEFUZopoK7gxAojRcCNQI5RuEmqggZNayG5SKyTKgVgEUhCVs4HtnYmydWsQdK3ECuK+sR1r05GJvZD5qadUcosMPqhrVGDU4HeLoKbxQI1vhCur3dXLeUnYBFDURurExQnKIytKmpiTb04bxI3TsIrbSubGHoEXCAszrArcPTHWJcDIQsNaCip4mOdoPJ4BWSaDLqlJp6Yza53pKu0jnZZZZ1uVZZZYBZZZYBZZZYBIkSx3h8K17M91feeiAI2rT3TRR0ngJtWMNbw4qc2++0JQlldKikTZq7xXKYnMbl9Cj3a5DIRHVArImVtrSSQZaDrg0kUAiMYcmFUxLXJBgRWWsA3QJKvUwAt+FZdA/DC1SC1IBGkwSDJ7SGoLZwANLSezMWJpArAI7PrkhJI65S0AumkKCM4VIAVZBkHKApLwBRV1GOhaHEwraaVkcZO1dJG5arsY0+rMTvNBu6ICmsey0bdmREmtHnHVxqREMWjJCWzWP7VkExK0M5o2xJyqpjsqloCKaFiRu6coPakyO6rqIuWhwyjMh0O0dliZFSYdx2Jq2sdcvTFNAGYlK1gEjKTuawdhKDQQLQbyalPPhM1bxU0mm57hpvMivezEqQb00EesliD0GQgGmIl6ZERle5qe4SOuQWyEc3LYYahGxtnmIyTaXjFmfTAXuwWo+UD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| +| ![Trailer 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) | ### Beat 18 — MAN. / Kein Treffer diff --git a/output/cutter_clips/beat_12_compare.mp4 b/output/cutter_clips/beat_12_compare.mp4 index 97bdd11..0d82769 100644 Binary files a/output/cutter_clips/beat_12_compare.mp4 and b/output/cutter_clips/beat_12_compare.mp4 differ diff --git a/output/cutter_clips/beat_17_compare.mp4 b/output/cutter_clips/beat_17_compare.mp4 index fd0cd8d..68b3524 100644 Binary files a/output/cutter_clips/beat_17_compare.mp4 and b/output/cutter_clips/beat_17_compare.mp4 differ diff --git a/output/cutter_clips/beat_17_source.mp4 b/output/cutter_clips/beat_17_source.mp4 index ecced19..687ed8c 100644 Binary files a/output/cutter_clips/beat_17_source.mp4 and b/output/cutter_clips/beat_17_source.mp4 differ diff --git a/output/cutter_clips/beat_19_compare.mp4 b/output/cutter_clips/beat_19_compare.mp4 index 41d138b..5d07d5b 100644 Binary files a/output/cutter_clips/beat_19_compare.mp4 and b/output/cutter_clips/beat_19_compare.mp4 differ diff --git a/output/cutter_stills/beat_17_source.jpg b/output/cutter_stills/beat_17_source.jpg index 4d221bb..8ef7bc3 100644 Binary files a/output/cutter_stills/beat_17_source.jpg and b/output/cutter_stills/beat_17_source.jpg differ diff --git a/output/report/match_report.html b/output/report/match_report.html index e2b2cf2..5eb3b76 100644 --- a/output/report/match_report.html +++ b/output/report/match_report.html @@ -132,4 +132,4 @@ table.ov tr:hover { background: rgba(255, 255, 255, 0.05); }
-

Cutter & Match Report

Generiert: 2026-05-06 10:52:13Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (5 bestätigt) — 2 manuell.
Recent Changes:
Remove legacy _seg*.mp4 files replaced by new compare clip pipeline
Old per-segment source clips (beat_10, beat_12, beat_15) are obsolete —
generate_cutter_report.py now produces beat_NN_compare.mp4 side-by-side clips.

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:35:054380.448?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:13:13554+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:38:063090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:18:04623+720.399?
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:28:04:176130.663OK
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:35:05–01:02:36:22
Scene 438 · Score 0.448
⚠ Score 0.448 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:38:06–00:43:41:09
Scene 309 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:18:04  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:18:04  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:28:04:17–01:28:05:14
Scene 613 · Score 0.663
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24
+

Cutter & Match Report

Generiert: 2026-05-06 12:30:01Trailer: BehindTheRedDoor_Trailer_REFERENCE.mp4 @ 25.000 fpsSource: BehindTheRedDoor_FTR_1080P_2398_Fixed.mp4 @ 23.976 fps
25 Beats — 23 automatisch (6 bestätigt) — 2 manuell.
Recent Changes:
Remove legacy _seg*.mp4 files replaced by new compare clip pipeline
Old per-segment source clips (beat_10, beat_12, beat_15) are obsolete —
generate_cutter_report.py now produces beat_NN_compare.mp4 side-by-side clips.

Legende

OKBestätigt — direkt in Schnitt-Timeline übernehmen
?Vorläufig — Phase und Aktion im NLE visuell prüfen
MAN.Kein Treffer — manuell suchen oder Schwarzbild einfügen

Übersicht

BeatTrailer TC In–OutDauerSource TC InSceneScoreStatus
0000:00:00:00–00:00:03:003.00s00:00:03:1910.597?
0100:00:03:00–00:00:08:105.40s00:00:04:0910.380?
0200:00:08:10–00:00:16:248.56s00:00:35:0530.761OK
0300:00:16:24–00:00:19:032.16s01:02:35:054380.448?
0400:00:19:03–00:00:20:161.52s01:02:21:094370.728OK
0500:00:20:16–00:00:26:095.72s00:01:33:03100.499?
0600:00:26:09–00:00:29:062.88s00:01:03:0750.396?
0700:00:29:06–00:00:31:172.44s01:20:10:105530.497?
0800:00:31:17–00:00:33:161.96s00:00:51:0750.620?
0900:00:33:16–00:00:36:193.12s01:20:29:035570.674OK
1000:00:36:19–00:00:40:023.32s01:20:13:13554+559+5560.660?
1100:00:40:02–00:00:42:032.04s01:20:40:185590.636?
1200:00:42:03–00:00:50:068.12s01:14:26:06519+130.701OK
1300:00:50:06–00:00:53:213.60s00:43:19:133080.636?
1400:00:53:21–00:00:57:023.24s00:43:38:063090.626?
1500:00:57:02–00:01:01:124.40s00:02:10:0817+3090.650?
1600:01:01:12–00:01:04:123.00s01:05:12:124510.626?
1700:01:04:12–00:01:09:034.64s01:31:26:06623+720.399OK
1800:01:09:03–00:01:10:191.64s———MAN.
1900:01:10:19–00:01:12:131.76s00:16:48:131260.403?
2000:01:12:13–00:01:15:143.04s01:28:04:176130.663OK
2100:01:15:14–00:01:17:131.96s00:23:55:001750.526?
2200:01:17:13–00:01:19:232.40s01:03:05:114420.544?
2300:01:19:23–00:01:25:145.64s01:04:35:214460.534?
2400:01:25:14–00:01:32:076.72s———MAN.

Beat-Details

Beat 00

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:00:00–00:00:03:00  (3.00s)
Phase logo animation assembling from distorted shapes with motion blur
Bild centered, symmetrical, abstract black void
Source
00:00:03:19–00:00:05:09
Scene 1 · Score 0.597
⚠ Score 0.597 unter 0.65 — visuell prüfen
python cli.py rematch --beat 0

Beat 01

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:03:00–00:00:08:10  (5.40s)
Phase Dynamic motion blur and shifting optical distortions across the text
Bild Centered, symmetrical layout with overlapping circular glass-like distortions, Abstract black void
Source
00:00:04:09–00:00:06:03
Scene 1 · Score 0.380
⚠ Score 0.380 unter 0.65 — visuell prüfen
python cli.py rematch --beat 1

Beat 02

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:08:10–00:00:16:24  (8.56s)
Phase drawing a heart shape on a foggy surface
Bild extreme close-up, shifting from profile of a face to a hand interacting with a surface, indoor, obscured glass or foggy surface
Source
00:00:35:05–00:00:43:06
Scene 3 · Score 0.761
python cli.py rematch --beat 2

Beat 03

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:16:24–00:00:19:03  (2.16s)
Phase speaking and smiling slightly
Bild close-up shot, centered face, outdoor rocky environment
Source
01:02:35:05–01:02:36:22
Scene 438 · Score 0.448
⚠ Score 0.448 unter 0.65 — visuell prüfen
python cli.py rematch --beat 3

Beat 04

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:19:03–00:00:20:16  (1.52s)
Phase lifting a camera to eye level to take a photo
Bild medium shot, subject centered, shallow depth of field with blurred treeline background, outdoor forest landscape, overcast sky
Source
01:02:21:09–01:02:22:08
Scene 437 · Score 0.728
python cli.py rematch --beat 4

Beat 05

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:20:16–00:00:26:09  (5.72s)
Phase a metallic cylindrical object is brought toward and touches the skin of the forearm
Bild extreme close-up, shallow depth of field, indistinct dark interior
Source
00:01:33:03–00:01:37:09
Scene 10 · Score 0.499
⚠ Score 0.499 unter 0.65 — visuell prüfen
python cli.py rematch --beat 5

Beat 06

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:26:09–00:00:29:06  (2.88s)
Phase hand reaching toward and touching an ornate decorative box
Bild close-up, shallow depth of field, hand entering from left frame, dark interior
Source
00:01:03:07–00:01:05:03
Scene 5 · Score 0.396
⚠ Score 0.396 unter 0.65 — visuell prüfen
python cli.py rematch --beat 6

Beat 07

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:29:06–00:00:31:17  (2.44s)
Phase man appears to be engaged in conversation
Bild man in a light gray sweater and scarf, seated on a white couch, with a window in the background, indoor with a view of the ocean
Source
01:20:10:10–01:20:12:14
Scene 553 · Score 0.497
⚠ Score 0.497 unter 0.65 — visuell prüfen
python cli.py rematch --beat 7

Beat 08

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:31:17–00:00:33:16  (1.96s)
Phase static or slow drifting
Bild close-up, diagonal curve from top-left to bottom-center, dark, indistinct void
Source
00:00:51:07–00:00:53:01
Scene 5 · Score 0.620
⚠ Score 0.620 unter 0.65 — visuell prüfen
python cli.py rematch --beat 8

Beat 09

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:33:16–00:00:36:19  (3.12s)
Phase speaking, transitioning from closed eyes to open mouth and focused gaze
Bild medium close-up, subject positioned right of center, profile/three-quarter view, indoor room next to a large window overlooking a blue horizon/sea
Source
01:20:29:03–01:20:32:06
Scene 557 · Score 0.674
python cli.py rematch --beat 9

Beat 10

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:36:19–00:00:40:02  (3.32s)
Phase conversation
Bild alternating close-ups and a medium two-shot, indoor living room with large windows showing a blue exterior landscape
Source
01:20:13:13  (multi-shot)
Scene Scenes 554, 559, 556 · 3 Segmente
  • Seg 1: 01:20:13:13  dur 0.88s  @ off 0.00s  sc 554  score 0.674
  • Seg 2: 01:20:36:13  dur 1.76s  @ off 0.88s  sc 559  score 0.649
  • Seg 3: 01:20:22:14  dur 0.68s  @ off 2.64s  sc 556  score 0.672
python cli.py rematch --beat 10

Beat 11

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:40:02–00:00:42:03  (2.04s)
Phase static talking head with slight facial expression changes
Bild medium close-up, subject positioned right of center, profile/three-quarter view facing left, indoor room with a large window showing a blue sea/horizon background
Source
01:20:40:18–01:20:42:18
Scene 559 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 11

Beat 12

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:42:03–00:00:50:06  (8.12s)
Phase static profile shot transitioning to black/darkness
Bild medium close-up, profile view, subject positioned on the right side of the frame, dark outdoor environment, blurred trees in background
Source
01:14:26:06  (multi-shot)
Scene Scenes 519, 13 · 2 Segmente
  • Seg 1: 01:14:26:06  dur 3.52s  @ off 0.16s  sc 519  score 0.721
  • Seg 2: 00:01:47:14  dur 2.88s  @ off 4.88s  sc 13  score 0.676
python cli.py rematch --beat 12

Beat 13

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:50:06–00:00:53:21  (3.60s)
Phase static conversation; woman on right is standing and holding a cup
Bild wide shot, two figures positioned on opposite sides of a round dining table, modern glass-walled sunroom or conservatory overlooking a snowy landscape
Source
00:43:19:13–00:43:23:04
Scene 308 · Score 0.636
⚠ Score 0.636 unter 0.65 — visuell prüfen
python cli.py rematch --beat 13

Beat 14

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:53:21–00:00:57:02  (3.24s)
Phase static conversation, subject holding a white cup
Bild medium shot, subject positioned on the left, vertical window frame dividing the right third of the frame, interior room with a large window overlooking a snowy pine forest
Source
00:43:38:06–00:43:41:09
Scene 309 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 14

Beat 15

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:00:57:02–00:01:01:12  (4.40s)
Phase static conversation
Bild medium shot, profile view of two characters facing each other, indoor room with a large window overlooking a snowy forest
Source
00:02:10:08  (multi-shot)
Scene Scenes 17, 309 · 2 Segmente
  • Seg 1: 00:02:10:08  dur 2.80s  @ off 0.24s  sc 17  score 0.720
  • Seg 2: 00:43:38:19  dur 1.28s  @ off 3.04s  sc 309  score 0.380
python cli.py rematch --beat 15

Beat 16

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:01:12–00:01:04:12  (3.00s)
Phase man reaches out and touches the red door with a small object
Bild medium side profile shot, subject on left, door on right, indoor dim environment, adjacent to a red wooden door
Source
01:05:12:12–01:05:15:07
Scene 451 · Score 0.626
⚠ Score 0.626 unter 0.65 — visuell prüfen
python cli.py rematch --beat 16

Beat 17

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:04:12–00:01:09:03  (4.64s)
Phase Static intimacy transitioning to a spatial arrangement of figures
Bild Medium shot, eye-level. First two frames: static shot of couple in bed. Third frame: wide shot of women among white blocks, Bedroom with bedside table and lamp; transition to a white minimalist interior with pedestals
Source
01:31:26:06  (multi-shot)
Scene Scenes 623, 72 · 3 Segmente
  • Seg 1: 01:31:26:06  dur 1.92s  @ off 0.24s  sc 623  score 0.384
  • Seg 2: 00:09:06:13  dur 1.04s  @ off 2.80s  sc 72  score 0.434
  • Seg 3: 00:09:07:18  dur 0.50s  @ off 4.00s  sc 72  score 0.384
⚠ Score 0.399 unter 0.65 — visuell prüfen
python cli.py rematch --beat 17

Beat 18

MAN.Kein Treffer
Trailer 18
— manuell setzen —
Trailer
00:01:09:03–00:01:10:19  (1.64s)
Phase Woman in foreground turns her head from profile to face the camera while speaking
Bild Medium shot, three-quarter profile of woman in foreground left, two women positioned behind her to the right, Indoors, minimalist dark background
— kein automatischer Treffer —
python cli.py rematch --beat 18

Beat 19

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:10:19–00:01:12:13  (1.76s)
Phase static conversation, subtle facial expression change
Bild medium close-up, over-the-shoulder shot with a blurred figure in the foreground right, outdoor dark forest or wooded area
Source
00:16:48:13–00:16:49:10
Scene 126 · Score 0.403
⚠ Score 0.403 unter 0.65 — visuell prüfen
python cli.py rematch --beat 19

Beat 20

OKBestätigt
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:12:13–00:01:15:14  (3.04s)
Phase man kisses woman's forehead, then they pull back slightly to face each other
Bild extreme close-up, profile view, faces facing each other, indoor, blurred background
Source
01:28:04:17–01:28:05:14
Scene 613 · Score 0.663
python cli.py rematch --beat 20

Beat 21

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:15:14–00:01:17:13  (1.96s)
Phase hand raised to mouth, slight facial movement
Bild extreme close-up, face partially obscured by shadow, dark interior
Source
00:23:55:00–00:23:56:23
Scene 175 · Score 0.526
⚠ Score 0.526 unter 0.65 — visuell prüfen
python cli.py rematch --beat 21

Beat 22

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:17:13–00:01:19:23  (2.40s)
Phase man looks up and speaks, transitioning from downward gaze to forward gaze
Bild close-up, profile to three-quarter view, outdoor rocky environment, blurred background
Source
01:03:05:11–01:03:07:07
Scene 442 · Score 0.544
⚠ Score 0.544 unter 0.65 — visuell prüfen
python cli.py rematch --beat 22

Beat 23

?Vorläufig
▶ Trailer  /  ▶ Source (Frame-Locked Compare)
Trailer
00:01:19:23–00:01:25:14  (5.64s)
Phase static posture, head tilted upwards looking at the sky
Bild medium shot, subject positioned on the left third, facing away from camera towards the water, rocky shoreline next to a body of water under an overcast sky
Source
01:04:35:21–01:04:41:02
Scene 446 · Score 0.534
⚠ Score 0.534 unter 0.65 — visuell prüfen
python cli.py rematch --beat 23

Beat 24

MAN.Kein Treffer
Trailer 24
— manuell setzen —
Trailer
00:01:25:14–00:01:32:07  (6.72s)
— kein automatischer Treffer —
python cli.py rematch --beat 24