Add diagnostic logging to pinpoint tracker dropping detections

Fix Grounding DINO detections dropped by ByteTracker threshold mismatch

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

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

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

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

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

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

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

Add granular logging for frame processing and ffmpeg

fix: Switch to gpt-4o-mini and verified queue safety

feat: Implement SAHI Tiling for 4K video detection

feat: Implement AsyncVideoReader for parallel video decoding

fix: Handle empty GPT responses and log outputs

Feature: GPT distance integration, Radar Map, and optional legacy depth

update:inference pipeline optimization

inital commit