chore: clean up dead code, stale comments, and misleading names

refactor: replace frontend SPA with minimal detection UI

refactor: remove GPT/mission/relevance system, keep CV-only base

Update README.md

fix: hide instance_id from segmentation overlay labels

Eliminate redundant JPEG frame loading via shared frame store

feat: expose step param on /detect/async, default to 7

chore(yolo11): update yolo naming comments

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

fix: download yolo11m.pt via huggingface_hub to writable /tmp path

fix: use YOLO("yolo11m.pt") with writable config dir

refactor: rename hf_yolov8 → yolo11 across codebase

feat: replace custom YOLOv8m_defence with YOLO11m COCO-pretrained

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

chore: remove dead code and unused frontend modules

refactor(gsam2): make SAM2 detector-agnostic

perf: increase production keyframe step from 20 to 60

perf: set SAM2 num_maskmem to 7 (trained default) in production

feat: expose num_maskmem parameter in benchmark profile/analysis endpoints

feat: add benchmark profiler & roofline analysis system

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

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

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

fix: SAM2 _prep_prompts() signature

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

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

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

feat: click-to-select tracks on video overlay

perf: pipeline GSAM2 tracking + rendering with startup buffer

removed extra bbox lable and track id

perf: set num_maskmem=3 for all inference paths

feat: add num_maskmem parameter to /benchmark endpoint

revert: remove torch.compile — runtime failures on HF Space

fix: drop fullgraph=True from torch.compile for broader compatibility

fix: add runtime fallback for torch.compile inductor/triton failures

fix: manual torch.compile with graceful fallback for SAM2 components

perf: enable torch.compile for SAM2 via vos_optimized flag

perf: GPU-resident tensor pipeline for SAM2 video propagation

perf: eliminate CUDA sync points in SAM2 video propagation hot-path

feat: add /gpu-monitor endpoint for live nvidia-smi streaming

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

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

Suppress labels for non-relevant objects in visualization

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

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