Migrate standalone apps to oakapp-base 1.3.0 - #856

Summary

• Migrate the standalone examples in this change set to the luxonis/oakapp-base 1.3.0 image family.
• Update all standalone custom frontends to Visualizer package release 3.8.3.
• Make the custom standalone frontends reproducible in clean, constrained OAK build containers.
• Correct DINO Tracking's FastSAM parser wiring and P2P Measurement's current React ref typing.

Base-image migration

Updates the affected Python examples to luxonis/oakapp-base:1.3.0, the C++ example to 1.3.0-cpp, and the Python 3.11 frontend examples to 1.3.0-py311. Associated frontend lockfiles are regenerated for the updated package graph.

Visualizer frontend packages

Update the direct @luxonis/depthai-viewer-common and @luxonis/depthai-pipeline-lib dependencies from 3.7.6 to 3.8.3 for every standalone custom frontend:

• Data Collection
• DINO Tracking
• Focused Vision
• Object Volume Measurement 3D
• P2P Measurement
• People Demographics and Sentiment Analysis
• QR Tiling
• Open-Vocabulary Object Detection
• Raw Stream
• Roboflow Workflow

Frontend build reliability

For Data Collection, DINO Tracking, Focused Vision, Object Volume Measurement 3D, P2P Measurement, People Demographics and Sentiment Analysis, and QR Tiling:

• add direct @floating-ui/dom@1.8.0, @sentry/browser@8.55.2, and date-fns@2.30.0 dependencies required by transitive Luxonis frontend packages;
• use npm overrides to keep react and react-dom aligned to the direct React 19 versions, preventing a nested ReactDOM 18/React 19 mismatch;
• set Rollup maxParallelFileOps: 8 to avoid EMFILE: too many open files in the OAK build container.

P2P Measurement additionally accepts a nullable RefObject in ClickCatcher, fixing its TypeScript build error.

DINO Tracking correction

FastSAM parser output now feeds the mask-selection and outline paths. Its pipeline type is dai.Buffer, while the runtime message remains dai.SegmentationMask; the host node handles that contract explicitly.

Validation

• Ran npm install && npm run build sequentially for all ten updated frontends with the 3.8.3 package pair; all builds pass.
• Removed node_modules, dist, and generated styled-system directories after every frontend build; no generated frontend artifacts remain.
• Deployed current source with oakctl app run . --detach --invalidate to an OAK4-S R1 (RVC4, serial 221646362).
• Confirmed custom frontend behavior for Data Collection, DINO Tracking, Focused Vision, People Demographics and Sentiment Analysis, QR Tiling, and Open-Vocabulary Object Detection.
• Confirmed P2P Measurement and Object Volume Measurement 3D build successfully; their runtime paths correctly reject this RGB-only device because CAM_B/CAM_C are absent. A stereo-capable device is required for functional verification.

dev-app-test.md is intentionally excluded from this PR.

Data Collection snap crash fix

Data Collection's snapping host node used the obsolete SnapData(file_name=..., frame=..., detections=...) constructor. With depthai-nodes==0.5.0, triggering a snap raised TypeError: SnapData.__init__() got an unexpected keyword argument 'file_name' inside a DepthAI host-node callback, which aborted the backend and dropped the stream.

The producer now creates a dai.FileGroup, adds the image/detections pair with addImageDetectionsPair(...), and passes it as SnapData(file_group=...). The changed Python module passes python3 -m py_compile.