refactor: remove remaining dead HEL/threat code remnants

refactor: strip threat fields from all frontend and backend code

refactor: delete dead threat code (threat_chat.py, hel.js)

feat: add timeline heatmap with detection highlights for Tab 2 video player

feat: replace drone_yolo with YOLOv8-VisDrone detector

feat: add YOLOv8-VisDrone detector for aerial object detection

fix: correct backend URL to match BiasLab2025/ISR HF Space

feat: add GPT vision-based mission relevance assessment

refactor: rename hf_yolov8 → yolo11 across codebase

feat(segmentation): add YSAM2 variants and mission-aware detector mapping

chore: remove dead code and unused frontend modules

refactor(gsam2): make SAM2 detector-agnostic

fix: keep track positions fresh during pause for always-clickable bboxes

feat: bidirectional click-to-select between video overlay and track cards

fix: track cards update during playback + periodic GPT re-analysis

feat: click-to-select tracks on video overlay

feat: add detailed timing metrics to GroundedSAM2 segmenter

feat: add job processing timing and latency measurements to backend and frontend

feat(frontend): improve UI for detection and chat interaction

Refactor GPT sync in client.js: extract _syncGptFromDetections and add final sync on job completion

Remove SAM3 and standardize segmentation on Grounded-SAM2

Rename UI terms: Reason->Detect, Engage->Track

Fix track cards stuck at UNASSESSED due to frontend race condition

Refine GPT enrichment logic, add relevance badges to UI, and fix minor model/logging issues

Async GPT enrichment: fire-and-forget background task updates track cards from UNASSESSED to ASSESSED

Redesign track cards with inline features, remove separate features panel, clean up overlays

Update overlays, tracker, GPT reasoning, and threat chat improvements

Reduce left sidebar by 50% and move track cards to right of video

feat: Add mission-driven object relevance abstractions

ui: Remove scanning effect from overlay

ui: Remove glow effects from bounding boxes and aimpoints

ui: Make video frame full-width, move features beside track cards

fix: Remove chat emojis, improve tracker GPT metadata sync

feat: Add threat chat feature for Q&A about detected threats

chore(frontend): Remove Engagement Policy section and fix engage button

chore(frontend): Remove unused UI sections - radar, intel summary, HEL knobs, atmosphere, and trade space

chore(forensics): finalize verification and trace validation\n\n- Fix unreachable background reasoning in inference.py\n- Enable enabling GPT reasoning by default in frontend\n- Verify correct data mapping for 15 naval fields\n- Clean up legacy code paths and ensure backward compatibility

feat(threat-assessment): implement naval threat analysis with GPT-4o\n\n- Rename utils/gpt_distance.py to utils/gpt_reasoning.py and update logic for 15 naval threat features\n- Add Pydantic schemas for NavalThreatAssessment in utils/schemas.py\n- Update backend (app.py, inference.py) to use new threat estimation and pass full metadata\n- refactor(frontend): render threat level badges and detailed feature table in UI

Show first frame radar when processed image appears

Add military-style radar with helicopter demo mode

Refine overlays: Hide on first frame and remove speed from labels

Fix video playback race condition, local file protocol, and backend worker crash

feat: Implement depth-based distance estimation and frontend integration

feat: Radar historic traces and fix DETR crash

feat: Real-time radar directionality via track sync

feat: Continuous object tracking, speed estimation, and overlay syncing

Refactor frontend into modular ES modules in frontend/ folder