# =============================================================================
# geoap-hf-space / config.yaml
# Single source of truth for the Space and the Hub scripts.
# =============================================================================

hub:
  # Change to your own namespace before pushing.
  owner: "GeminiTwins"
  detection_repo: "GeminiTwins/geoap-yolo26m-detection"
  segmentation_repo: "GeminiTwins/geoap-yolo26m-segmentation"
  space_repo: "GeminiTwins/geoap-satellite-cv"
  # Filenames inside each model repo
  detection_filename: "best.pt"
  segmentation_filename: "best.pt"
  private: false

model:
  # Base checkpoints used for fine-tuning (auto-downloaded by ultralytics)
  detection_base: "yolo26m.pt"
  segmentation_base: "yolo26m-seg.pt"
  # Local fallback paths, tried before the Hub. Relative to project root.
  detection_local: "weights/detection_best.pt"
  segmentation_local: "weights/segmentation_best.pt"

classes:
  detection:
    - batiment
    - arbre
    - panneaux_solaires
    - bassin
  segmentation:
    - parcelle_cultivee
    - terre_non_cultivee
    - route
    - riviere
    - piste_agricole

tiling:
  tile_size: 640
  overlap: 0.2

inference:
  confidence_threshold: 0.25
  iou_threshold: 0.5
  nms_type: "NMM"          # NMS | NMM | GREEDYNMM  (SAHI postprocess)
  max_side: 4096           # downscale images larger than this before tiling
  mask_alpha: 0.55

ui:
  title: "GeoAP — Satellite Detection & Segmentation (YOLO26m)"
  description: >
    Tiled inference on high-resolution aerial / satellite imagery.
    Detection finds buildings, trees, solar panels and water basins.
    Segmentation maps cultivated parcels, bare land, roads, rivers and farm tracks.