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958da3bb95 |
Event bus + greeter + gestures + activity + spatial + history + recording + tests + CI + CLAUDE.md
Four parallel agents shipped Tier 1+2+3 of the punch list, coordinated through a fixed DetectionEventBus contract created upfront. ## Detection event bus (shared contract) - Sources/Process/DetectionEvents.swift — `DetectionEvent.Kind` enum covering objectAppeared/Refreshed/Disappeared, faceRecognized, faceSeenUnknown, textRecognized, gestureDetected, activityDetected, spatialRelation. - Sources/Process/DetectionEventBus.swift — thread-safe pub/sub, Token pattern with auto-unsubscribe on deinit, synchronous emit on caller's queue. Subscribers hop to their own queue as needed. ## ObjectDetector additions (Agent A) - Publishes events for every track-add, track-loss, face-match, unmatched-face, recognized-text — with per-event throttles (text 2s per string, face name 5s, etc.) so the bus doesn't drown in repeats. - New `DetectorStageTiming` struct + `lastStageTiming` accessor exposes the visionBundleMs / featurePrintMs / trackerMs / totalMs breakdown. Logged once a second at DEBUG level for visibility. - Track UUID persistence via Sources/Process/TrackStore.swift — label→UUID at ~/Library/Application Support/VisionPOC/tracks.json, MRU-pruned to 50 entries, debounced 500ms saves. Same object across launches gets the same trackId → consistent per-track color. - YOLO warmup at init (dispatched on detector queue): one dummy inference against a 416×416 mid-gray image so the first user-visible detection doesn't pay model-compile latency. ## Event consumers (Agent A) - Sources/Process/Greeter.swift — AVSpeechSynthesizer-driven "Hello, <name>" on faceRecognized events. Honors Theme.greeterMuted and the Privacy Mode toggle. Throttle: 30s per name on top of the bus-level 5s throttle. - Sources/Process/GestureRecognizer.swift — five gesture heuristics (thumbs_up, open_hand, fist, pointing, peace) over hand-pose PoseDetections. Throttled 2s per gesture name. - Sources/Process/ActivityRecognizer.swift — standing/sitting/ crouching/hand_raised over body-pose PoseDetections. Throttled 5s per activity. - Sources/Process/SpatialReasoner.swift — near/above/inside/holding relations between Detection pairs. Throttled 10s per triple. ## Video recording (Agent B) - Sources/Render/Recorder.swift — @MainActor AVAssetWriter pipeline writing H.264 / 12 Mbps / 60fps to ~/Desktop/VisionPOC-...mov. Captures the rendered MTKView output via a new frame-tap callback on Renderer. Synchronous blit→staging-texture→CVPixelBuffer→ AVAssetWriterInputPixelBufferAdaptor pattern; ~5-15ms per frame at 1080p, drops dynamically when active. Format-guarded for bgra8Unorm drawables and disabled when not recording (early return). - Renderer.swift gained `var frameTap` callback; invoked inside draw(in:) just before present, when set. ## History window (Agent C) - Sources/App/HistoryEntry.swift, HistoryStore.swift, HistoryView.swift, HistoryWindowController.swift — singleton ring buffer of 500 recent events translated into human-readable summaries with category tags (object/face-known/face-unknown/ocr/gesture/activity/spatial). - Open via ⌘H from the Faces menu. Polls the store at 1Hz. - Window position persists under VPOC.HistoryWindowFrame. ## Privacy mode (Agent C) - Theme.Performance.faceRecognitionDisabled — new live tunable. - Camera menu toggle (⇧⌘P) flips both faceRecognitionDisabled and greeterMuted. The History viewer also filters out face entries when the flag is set. - Documented limitation: bounding-box labels may still show enrolled names if the detector doesn't consult faceRecognitionDisabled (this round it doesn't; flag is for History + TTS only). ## Recording menu wiring (Agent C) - App menu gains "Start Recording" / "Stop Recording" (⇧⌘R). Title flips based on the Recorder's isRecording state. - Start: instantiates the recorder, calls startRecording at the current drawable size, hooks renderer.frameTap. - Stop: clears frameTap first (no more frames queue) then awaits the asset writer's finalize. On completion (MainActor hop), shows an NSAlert with the saved-path or failure. ## Settings panel additions (Agent C) - New "Faces" subsection: "Mute greeter (TTS)" toggle bound to TunableSettings.greeterMuted (writes through to Theme). - New "Diagnostics" section: per-stage detector timing readout polled at 2Hz. Decoupled from ObjectDetector via a closure-based timing provider so the App layer doesn't depend on the Process module's DetectorStageTiming type directly. ## Hygiene (Agent D) - Tests/IoUTests.swift, AspectFitTests.swift, LogStreamTests.swift, DetectionEventBusTests.swift, FaceRegistryDistanceTests.swift — 24 tests covering pure-logic algorithms. Private methods are mirrored verbatim into the test files with a "keep in sync" comment. - project.yml gains a `VisionPOCTests` target of type `bundle.unit-test`, depending on the VisionPOC application target. - .github/workflows/build.yml — macos-15 runner, brew install xcodegen, generate, build, test. LFS skipped to save bandwidth (the build tolerates a missing model since ObjectDetector falls back to Vision built-ins). - CLAUDE.md — onboarding doc covering project layout, theme tunables, pipelines, event vocabulary, observability, build idiosyncrasies, and "how to add a new detector / overlay" recipes. ## Integration fix - Recorder.swift's `stopRecording` completion path crossed actor isolation boundaries — captured a `(URL?) -> Void` closure and the AVAssetWriter instance into a @Sendable closure. Fixed by extracting `writer.status` / `writer.error?.localizedDescription` on the writer's queue before hopping, and wrapping the completion in a `nonisolated(unsafe)` shuttle (it's called from MainActor only, so the unsafe annotation is honest). ## Build status - `xcodebuild build` — clean - `xcodebuild test` — 24 / 24 passing Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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79ecd0184a |
Tier 1 + Tier 2 polish: 3 parallel agents — overlays, snapshots, menus
Coordinated three agents working in parallel on non-overlapping files,
with a shared `ProcessedFrame.swift` contract locking the API surface
between detector and renderer. All build clean on first integrate.
## Detector (ObjectDetector.swift)
- `VNRecognizeTextRequest` runs alongside YOLO at ~5 Hz; recognized
strings + boxes published via `currentTextDetections()`
- `VNDetectHumanBodyPoseRequest` produces a 14-segment skeleton (nose-
neck-shoulders-arms, neck-root-hips-legs); confidence-gated at 0.3
- `VNDetectHumanHandPoseRequest` produces 5 finger chains + palm ring
per hand, up to 2 hands; published as kind=.hand poses
- Body + hand published as `[PoseDetection]` via `currentPoses()`
- New `lastDetectMode: DetectMode { .yolo | .track }` so the footer can
distinguish the two latency regimes
- YOLO warmup runs one dummy inference at startup on the detector
queue — first user-visible detection no longer pays the ~200ms
model-compile latency
## Renderer (Renderer.swift + Render/ColorHash.swift)
- Box labels include 10%-bucketed confidence: "CUP 80%", "MOBILE PHONE
60%". Bucket keeps the label texture cache from exploding.
- Per-track stable color via UUID-byte → golden-ratio hash → HSV(h,
0.8, 1.0). Face labels stay cyan (calmer when JARVIS pane has
multiple labeled people in frame).
- Detection labels clamp to pane edges so boxes near the right margin
don't overflow into the next pane.
- Footer now reads "DET 28.4ms (yolo)" or "DET 2.1ms (track)" — the
flicker between the two values is informative, not a bug.
- LRU bound on `labelTextureCache` (128 entries, parallel access-order
array, drop-head-on-insert when at capacity).
- OCR text rendered as magenta boxes with truncated text labels (32
chars).
- Body pose drawn in mint, hand pose in amber; axis-aligned segment
rects with a 0.003 minimum thickness so horizontal/vertical lines
don't vanish at small viewport sizes. Joint dots at each unique
point.
- New `snapshotPNG() -> Data?` public method. Render loop piggybacks
one extra blit pass + waitUntilCompleted + CGImage encoding. <50ms
in practice, 1-second semaphore timeout if rendering stalls.
## App / Window / Capture
- Camera menu with a dynamic Devices submenu (rebuilt via
NSMenuDelegate.menuNeedsUpdate). Active device gets a checkmark,
Refresh List forces re-enumeration.
- CameraCapture.switchToDevice(_:) stops the session, swaps the input,
restarts. activeDeviceUniqueID exposed so the menu can match.
- Save Snapshot (⌘S) writes the 4-pane composite to
~/Desktop/VisionPOC-YYYY-MM-DD-HHMMSS.png
- Window-frame persistence for all three windows via UserDefaults
keys VPOC.MainWindowFrame / VPOC.SettingsWindowFrame /
VPOC.LogWindowFrame
- AVCaptureDevice.wasDisconnectedNotification → session stop + flag
set; permissionDenied returns true so the existing
"WAITING FOR CAMERA…" status path triggers without renderer changes
## Shared contract (new file)
- Sources/Process/ProcessedFrame.swift — TextDetection, PoseDetection,
PoseDetection.Segment, PoseKind (.body | .hand), DetectMode
(.yolo | .track). Sendable, value types, normalized [0..1] Vision
coords throughout.
## Theme
- Palette gains textStroke (magenta), bodyPose (mint), handPose (amber)
for the new overlays.
Note: Orbitron font and app icon (also Tier 2 items) deferred — no
clean source available for either without manual work.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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ba1ecac72a |
Add a live Settings panel for runtime tuning
⌘, or VisionPOC → Settings… opens a SwiftUI panel with sliders for every value that's worth tuning at runtime: YOLO frequency, detection min confidence, tracker age/confidence/IoU, face match threshold, edge Sobel threshold, ASCII column count. Reset-to-defaults button at the bottom. Plumbing - Theme.Performance's runtime-tunable values converted from `static let` to `nonisolated(unsafe) static var`. Acknowledges the threading model: cooperative single-writer (MainActor UI) and many readers (detector queue, render queue). All values are word-sized primitives, atomic on ARM at the hardware level — no data races in practice. - New @Observable @MainActor `TunableSettings` mirrors those statics for SwiftUI binding; each property's didSet writes back through so detector and renderer code paths see the change on the next frame. - New `SettingsWindowController` hosts the panel as a separate floating window with a dark-aqua appearance to match the HUD aesthetic. - FaceRegistry.matchThreshold becomes a thin getter/setter passthrough to Theme.Performance.faceMatchThreshold so the face slider drives it directly. UI niceties - Sections grouped by concern (Detection, Tracking, Faces, Edges, ASCII) - Each slider shows its current value to two decimal places (or the natural format for Hz / seconds / integer counts) - Face section includes an in-context caption explaining the typical distance range so the user knows where to aim the slider Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |