🌀️ Conversations with AI — 380

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2 vcpus, 16 GB — Killed during stitching — memory.

palisades-on-batch-2025-01-24-henhld

took 38 minutes. ✅

@select palisades-on-batch-2025-01-24-eyiqt7
@download - . open,QGIS
@publish tar .

palisades-on-batch-2025-01-24-eyiqt7

analysis:
  building-count: 1776
  damaged-count: 69
  output_filename: analysis.gpkg
predict:
  datacube_id: datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102212-103001010C7D2D00
  elapsed_time: 2293.444741010666
  model: palisades-dataset-v1-ingest-2025-01-20-520ze1-model-2025-01-20-s5xtkp
  output_filename: 11-031311102212-103001010C7D2D00-103001010C7D2D00-visual-prediction.tif
  reference_filename: 11-031311102212-103001010C7D2D00-103001010C7D2D00-visual.tif

40 minutes. ✅

8 vcpus, 32GB — will keep; likely expensive for general use. 😬

palisades-on-batch-2025-01-24-eyiqt7

@batch eval - \
  palisades predict \
  ~tag \
  scope=rgb \
  profile=FULL,upload - \
  datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102212-103001010C7D2D00 \
  palisades-on-batch-$(@@timestamp)

continues.