A Windows user reported that the Properties panel's font menu offered only the bundled Inter,
JetBrains Mono and Noto Serif. The system font folders were scanned only when a project asked for
a family the bundled fonts lack, so until then every font menu (Properties, Character, Essential
Graphics) and `file.findMissing {what: fonts}` saw the bundled families alone, on every
platform. Listing the families now scans the system fonts first, and the desktop app starts that
scan on a background thread at launch so the menus are complete when first opened.
The style menus in the Properties and Character panels list the chosen family's own styles
instead of a fixed Regular / Medium / SemiBold / Bold / Italic. Both menus build their lists only
while open.
New query for agents: `text.fonts {query?, rescan?}` (MCP tool `list_fonts`) lists every family
with its styles, origin (bundled / system / user) and own-language name; `rescan` picks up fonts
installed since launch.
Tests: a fresh-process test that the family list includes every family in the platform's font
folders without a prior scan (failed before), and `text.fonts` filtering, rescan and per-family
styles, and the `list_fonts` MCP tool.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019EjTYdt76hTG4Kh2CJFnCr
- effectcraft-segment: a FaceModel interface (find a face in a region, follow it; a Topology
maps the model's points to the tracker's landmarks and outline), a TensorFlow Lite reader and
interpreter (float ops, float16 weights folded; matches ai-edge-litert to ~1e-6), and
MediaPipe Face Landmarker (Google, Apache-2.0: BlazeFace + Face Mesh V2, 3.8 MB, pinned
SHA-256). The registry gains a task and authors per model; installed weights get a NOTICE.
- effectcraft-track: FaceTracker::new_with uses the model, falls back to the classical fitter
when it finds no face; chin and jaw come from the outline either way so measurements agree.
- Engine: roto_models becomes models (both tasks); face.models / face.model.* commands,
Settings ▸ Face Tracking, `wait` on select/install/download for scripts; track.mask reports
faceModel.
- Credits: ATTRIBUTION.md lists the optional models and the Apache-2.0 specs the code follows.
- Docs: README, ROADMAP (G7), gaps, parity (TRK-3 score unchanged pending G1), agents,
preferences, architecture, segment README.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- New L1 crate effectcraft-segment: the MaskModel interface (prompts → foreground probability),
a registry of open-licensed models (licence must be MIT/Apache/BSD/…; URL, size, SHA-256),
a PyTorch checkpoint reader (zip + pickle subset), dependency-free SHA-256, and MobileSAM
(TinyViT-5M + SAM prompt encoder / two-way transformer / mask decoder) on rayon and ndarray's
safe GEMM. Loads the official mobile_sam.pt as published; checked against candle
(embedding 0.3% RMS, 99.9% equal mask pixels); ~0.7 s/frame encoder at 32 threads, cached
per frame, ~0.1 s decoder.
- track::roto: segment_with / propagate_with prompt a model with the strokes or the flow-warped
matte (box, core points, mask); its probability is a strong, unblurred prior for the same
graph cut (strokes stay hard constraints); a failing model or one disagreeing with the flow
(IoU < 0.5) is ignored. Prior gets a weight.
- effects::roto: Version 2.0 / 3.0 use the model chosen in Settings (set_model / model_for);
the model id is part of the chain seed.
- engine: roto_models (roto.models, roto.model.select / install / download / remove), weights in
the models folder (host::config_dir()/models, shared by the app, CLI and MCP), background
loading, downloads through the system curl, verified; Settings ▸ Roto Brush page (prefs
roto.model). host::config_dir moved from the desktop app.
- Tests: segment (kernels vs direct sums, checkpoint reader, SHA-256 vectors, registry), track
(fake model: prior shapes the cut, failing / disagreeing models ignored; real weights with
EFFECTCRAFT_MOBILESAM: base IoU 0.989, propagated ≥ 0.980 vs classic 0.973), engine (registry,
verification, selection; real install + load), MCP.
- Docs: README, ROADMAP, parity (MSK-4 done: 90/2/0), preferences, agents, architecture,
crates/segment/README.md.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
These crates have no production panic sites: add the deny attribute so they stay clean
(geom, color, model, automation, host, export, plugin, and the desktop, CLI and web apps). The
plugin's wasm-only test module gets a separate cfg(test) attribute so clippy recognises it as
test code.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- command.describe / list_commands {schemas} give each command's params JSON Schema;
MCP describe_command, add_effect, list_effects and get_state (app.capabilities)
- effectcraft-cli exec --list [--schemas]
- headless UI audit: every panel kind's interactive egui widgets are covered by
automation ids (fixed: timeline navigator, label swatch, bar trim edges, group and
property name cells)
- command lookup is indexed
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- ui-egui: scriptui_view draws script windows at engine layout bounds; PanelKind::ScriptPanel; File ▸ Scripts and Window menu list scripts/panels (egui + native menus)
- examples/plugins/posterize-bands (WebAssembly, API v1); host plug-in tests; desktop loads <config>/Plug-ins
- MCP: script_ui and history tools; docs/plugins.md, agents.md, parity, architecture, ATTRIBUTION
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude