Two identity fixes, neither yet run on a GPU.
has_face, the extras gate: fixing the bbox coordinate space made extras worse,
because crops finally landed on their subjects and a background extra bound to
the lead at 1.00. /vision stamps has_face per character using face_detect and
_pair_faces_to_present, so containment and its margin match the speaker path.
Identity skips has_face is False before it crops or embeds. Fails open on a
missing or raising detector, and gates on `is False` so an older vision blob
behaves as before.
The NONE mint: /identity/resolve now writes each crop's embedding to the crop's
key with a .npy suffix and returns emb_uri. The orchestrator cannot compute an
embedding of its own (siglip and gemma cannot both be resident), which is why it
was clearing a deliberate NONE instead of minting an anonymous character.
Also: audit_registry.py, and the tmux respawn-window trap, which
leaves a bare shell rather than re-running the window command.
decisions/identity-bbox.md#face-gates-enrollment
decisions/identity-bbox.md#none-mints-an-anonymous-character
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The rebuild after 1457556 came out byte-identical to the broken file,
which proved the xfade fix never runs for this chapter. An all-cut chapter
goes down the concat demuxer with -c copy, which writes the output in the
FIRST input's time_base and reinterprets every later packet in it. 14 of
49 clips are 30/1 at 1/15360 against 35 at 25/1 at 1/12800, so those 14
play 15360/12800 = 1.2 too long with their audio untouched. collage_cmd
hardcoded -r 30 and yesterday's FPS sweep missed it.
collage_cmd now emits -r FPS, and assemble probes r_frame_rate across the
clips and routes mixed rates through the re-encoding tree. Rebuilt
chapter.mp4 is 364.120s video against 364.122s audio at 25/1, from
436.392 over 363.675.
Also settle the bbox coordinate space, measured over all 113 detections:
47 boxes have x2 past the 900px panel width, none has y2 past 1000 on
panels up to 2307px tall, and the range is exactly [0, 1000]. It is
gemma's normalized grid, not pixels, whatever the prompt asks for.
/vision converts before returning, which fixes identity's crop, the gated
face pairing that was comparing pixel face boxes against grid boxes, the
set-of-mark boxes and the review UI at once. Checked by eye on panel 7:
five of six boxes now land on their subject, including the foreground
character who had no identity.
The registry still holds boxes and embeddings enrolled from the wrong
space. vision and identity have to re-run, which is GPU work and was not
started.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Somebody watched chapter.mp4 for the first time. Two failures came out of it
that no stage counter could see.
chapter.mp4 is video 436.39s over audio 363.67s, so narration finishes 72.7s
before the picture. The 49 clips are clean: all 25fps, video and audio agree
to 0.03s, summing to 363.6s. A per-round probe puts the loss in the final
round of _assemble_batched, which turns 359s of video into 100s while the
audio survives. Round 0 is correct. Round 1 differs by holding a 7th input,
the leftover clip that skips encoding, so the tree mixes concat output, xfade
output and a raw clip. Not fixed.
worker_render.py gains an FPS constant, fps normalization in the xfade branch
to match concat, _stream_dur, and a self-check that compares video against
audio instead of asserting the file is non-empty. That old check is how a 20%
sync failure shipped. The fps inconsistency is real but not proven to be the
shipped cause. Pinning -r on the output was tried and reverted: it drops
frames to force CFR, which the concat branch comment already warned about.
Panel 7 checked against the art has zero correct identity bindings out of two,
and Seonho, the one character who matters, is unbound. bbox values are
consumed as absolute pixels; on a 900x1650 panel that puts all six boxes in
the top third, two inside a speech balloon. Identity therefore embeds crops of
balloon edges and window frames, which is how confidence 0.9 lands on the
wrong person. The colleague has no name in the story and was labelled Choi
Haeseon; that row holds 25 of 26 assignments, so it is the label the pipeline
stamps on any unnamed woman.
Four caveats added. Two earlier claims are withdrawn in place: rescaling bbox
by 1000 does not make the boxes correct, and the constraint is not 16 nameless
rows needing names. Cast profiles already exist, since all 53 rows populate
ref_image_uris and embedding_uri, but they are enrolled from the wrong crops.
worker_render.py self-check passes. No pipeline ran.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
_set_of_mark labels a detected face `unknown` when gated pairing matched it to no
present character. An answer pointing at that mark grounds nothing, yet it carried
som_face, the highest-trust provenance. All 7 som_face lines in the first 36
panels of the rerun were this case. Same defect class as the fake tail label.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
_annotate_speaker_methods stamped `tail`, the highest-trust provenance, on any
line whose speaker matched a present local_id, at gemma's confidence of 1.0. No
balloon was read. Three of three sampled two-character panels had the speakers
swapped, so a multi-character guess is now dropped to unknown, and a solo-panel
guess is kept as model_solo at 0.7.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The baseline run died in `script` at 87/116. Every lost beat cites
`unsupported-proper-noun: ['Choi', 'Haeseon']`, because verify_script puts the
full name in the allowed set and then tests single capitalized tokens against
it. No fix applied.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XD7cAy81MZrc7gCr6aZGWr
Panels, wavs, layers, clips, and the chapter mp4 leave the `manga` bucket for
`panels`, `audio`, `layers`, and `video`. The key under the bucket is unchanged,
so every reader that derives the bucket from the first path segment keeps
working. The orchestrator half moves in the same commit, per invariant 7.
The 2026-08-11 chapter run proves the split for `raw` and `panels` and produced
the first quality read on speaker attribution, which is wrong in every sampled
multi-character panel.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XD7cAy81MZrc7gCr6aZGWr
kami