LATCH v1.2.0 — Vision node families
Adds 12 nodes across three families plus supporting infrastructure.
Nodes
- snapshot — latch/hold a still frame from any texture feed (trigger or continuous).
- object-detection-live — transformers.js YOLOS/DETR on a live feed, annotated-texture output.
- object-detection-yolo — raw YOLOv8/v9 (GELAN) ONNX via onnxruntime-web; layout-robust parse + NMS.
- OpenCV.js — new
OpenCVService(lazy CDN load) + 9 nodes: grayscale, canny, threshold, blur, morphology, contours, corners, optical-flow, background-subtraction.
Verification
Real-browser proofs: OpenCV.js under credentialless COEP, YOLO detection on bus.jpg ({bus:1, person:4}), in-app shader → snapshot → main-output paint. 1481 unit tests + production build green.
Downloads
- macOS (Apple Silicon / arm64) —
LATCH-mac-arm64.dmgorLATCH-mac-arm64.zip - macOS (Intel / x64) —
LATCH-mac-x64.dmgorLATCH-mac-x64.zip - Windows (x64) —
LATCH-win.zip - Linux (x64) —
LATCH-linux.deborLATCH-linux.zip
The macOS builds are signed and notarized by Apple — they launch normally, no Gatekeeper workaround needed. Both Apple Silicon and Intel are included.
The web app is also deployed (GitHub Pages + Netlify).