fix: hide instance_id from segmentation overlay labels

Eliminate redundant JPEG frame loading via shared frame store

feat(ttfs): instrument segmentation time-to-first-stream

refactor: rename hf_yolov8 → yolo11 across codebase

chore: remove dead code and unused frontend modules

refactor(gsam2): make SAM2 detector-agnostic

fix: replace gated GSAM2 streaming with adaptive-rate publisher thread

perf: defer GPU->CPU mask transfer to render thread via LazyFrameObjects

fix: correct benchmark metrics — remove double-counting and add missing timers

perf: pipeline GSAM2 tracking + rendering with startup buffer

removed extra bbox lable and track id

feat: add num_maskmem parameter to /benchmark endpoint

perf: GPU-resident tensor pipeline for SAM2 video propagation

feat: add detailed timing metrics to GroundedSAM2 segmenter

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

feat(backend): enhance inference pipeline with GLM logic and structured outputs

Suppress labels for non-relevant objects in visualization

Fix GSAM2 label rendering double-draw and sync GPT enrichment to job storage

Handle GPT refusal paths and preserve assessment status

Fix segmentation mission routing and first-frame GPT alignment

Fix GSAM2 GPT writer state safety and background call args

Fix cross-GPU mask device mismatch in GSAM2 reconciliation

Harden GSAM2 parallel pipeline and tracking reconciliation

Refine Grounded-SAM2 tracking behavior and video frame handling

Remove SAM3 and standardize segmentation on Grounded-SAM2

Fix Grounding DINO load reliability and writer error handling

Add diagnostic logging to pinpoint tracker dropping detections

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

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

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

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

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

feat: Add mission-driven object relevance abstractions

fix: Remove chat emojis, improve tracker GPT metadata sync

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

feat: replace SimpleTracker with ByteTrack

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: Real-time radar directionality via track sync

fix: Import Full/Empty from queue to prevent NameError on backpressure