docs (blog): include blog post url

fix (llm): improve prompts for choosing outfits

feat(combinations): improve Get Dressed LLM ranking prompt

fix(ui): restore garment images and descriptions in Ask chat

fix(ui): add bounds to rectangle geometry so detected boxes render

fix(ui): use Annotorious v3 internal annotation format for bounding boxes

feat(ui): manual garment crop with Annotorious bounding-box editor

refactor(ui): show garment detail in a side drawer

fix(ui): log dock, garment detail layout and image cache

feat(ui): garment detail panel and real-time load logs

fix(deploy): use pre-built CPU wheels to avoid OOM build

fix(app): add type hint to api_add_photo for Gradio 6.17

docs(field-notes): update hosting and deployment for cpu-basic

docs(readme): align Space docs with cpu-basic deployment

perf(model): tune llama.cpp for cpu-basic

refactor(deploy): remove ZeroGPU code for cpu-basic

chore (hf): cambio a cpu basic

fix(deploy): switch to CPU inference for ZeroGPU compatibility

fix (hf): image dict was failing

fix (hf): use gpu from hf space

docs (readme): short description update

chore (ui): Use new ui

feat(deploy): configure project for HF Spaces T4 GPU

refactor(ui): replace subprocess sample build with in-process dataset loader

feat(combinations): add context-aware LLM ranking for outfits

feat(sample): add pre-processed sample wardrobe with 50 garments

refactor(detector): replace monolithic detector with pluggable multi-backend package

fix(ui): correct bbox annotator offset and remove label dialog

feat(ui): add manual bbox annotation fallback when detection fails

feat(ui): add manual bbox annotation fallback when detection fails

refactor(detector): replace YOLOv8n with YOLOS-tiny for flat lay support

feat(ui): add capture mode selector (single/multi/video WIP)

fix(detector): lower confidence threshold to 0.15

fix(detector): download YOLO model from HuggingFace before loading

fix(catalog): ensure data persists across app restarts

fix(ui): improve wardrobe tab layout, scroll, labels and images

refactor(vision): use detector crops for per-garment extraction

feat(detector): add YOLOv8n garment detection and cropping

feat(ui): redesign wardrobe tab with list + detail panel

feat(ui): add Tinder-style outfit combination tab

feat(combinations): add outfit combination engine

feat(vision): add verbose description to garment extraction

feat(catalog): add image persistence per garment

feat(storage): add dual storage abstraction (local/S3)

feat(wardrobe): implement vision pipeline, catalog and assistant

feat (wardrobe): prepare project structure and basic gradio ui

initial commit