feat: improve ISR mission planner and assessor prompts

refactor: migrate to uv, prompt-tune BAML mission planner and assessor

feat: add detailed BAML logging for mission planner and assessment verdicts

feat: integrate BAML for mission planning and detection assessment

refactor: remove depth estimation pipeline entirely

refactor(pipeline): decouple vision stage from AI postprocessing

refactor: clean up backend utilities and background job handler

refactor(detectors): extract shared YOLO logic into YoloBaseDetector base class

refactor: anonymize LLM labels, merge fragmented tracks, and tune defaults

fix: simplify round 2 — deduplicate update_masks, reduce VRAM, clear cache

fix: simplify review — fix mask NMS bug, remove dead code, hoist imports

fix: add mask-level NMS in GSAM2/YSAM2 to deduplicate overlapping masks

fix: graph layout spacing + validator API fixes

feat: add ISRExplainer multi-LLM orchestration

refactor: extract shared ISR utilities from assessor

feat: mission-relevance coloring — red for relevant objects, gray for non-relevant

feat(isr): create async assessor loop with verdict merging

feat(isr): create ISRAssessor with GPT-4o-mini vision integration

fix: weight download race condition + rewrite CLAUDE.md

feat: replace drone_yolo with YOLOv8-VisDrone detector

feat: add YOLOv8-VisDrone detector for aerial object detection

Eliminate redundant JPEG frame loading via shared frame store

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

fix: SAM2 _prep_prompts() signature

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

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 detailed timing metrics to GroundedSAM2 segmenter

Fix segmentation mission routing and first-frame GPT alignment

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

Handle set-typed missing_keys in Grounding DINO loader

Fix Grounding DINO load reliability and writer error handling