Pin transformers to stable 5.1.0

Fix Grounding DINO load reliability and writer error handling

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

fix: replaced batch with sequential

Fix: Grounding DINO batch inference

Add diagnostic logging to pinpoint tracker dropping detections

Fix Grounding DINO detections dropped by ByteTracker threshold mismatch

Fix track cards stuck at UNASSESSED due to frontend race condition

Fix GroundingDino loading: manually materialize meta tensors to support tied weights

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

Fix GPT thread safety, improve relevance logic, and add caching for COCO matching

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

Event-driven MJPEG streaming, GPT concurrency semaphore, pre-resize frames in publisher

Simplify first-frame processing, replace depth pre-scan with incremental stats, add GPT enrichment thread

Jobs: forward cached GPT results, reduce stream buffer to 60, wire up first_frame_gpt_results

Add StreamingVideoWriter (ffmpeg pipe), reuse first-frame GPT results in inference pipeline

GPT reasoning: add in-memory frame encoding, image_b64 support, use gpt-4o-mini for relevance

Add semantic COCO class matching via sentence-transformers and expand synonym table

Refactor ByteTracker: add min_hits confirmation, split thresholds, associate unconfirmed tracks

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

Tune ByteTracker: lower track_thresh to 0.3, increase track_buffer to 60

Add vision-grounded mission parsing: send first frame to GPT for object class refinement

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

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

feat: Add LLM post-processing relevance gate for broad detection

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

Fix: IndexError in ByteTracker

feat: replace SimpleTracker with ByteTrack

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

Respect CUDA_VISIBLE_DEVICES env var (do not delete it)

Fix NameError: import set_track_data in inference.py

Add writer loop error logging

Add aggressive worker debug logging and BaseException catch

Add granular logging for frame processing and ffmpeg

Fix backend worker pipeline stall on exception (add fallback fallback)

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

feat: Implement depth-based distance estimation and frontend integration

fix: Increase queue buffer to absorb GPT latency

feat: Radar historic traces and fix DETR crash