🌀️ Conversations with AI — 369

Next,

@git clone palisades cd
@plugins transform palisades

@help palisades pytest

@palisades pytest list
@palisades pytest

https://pypi.org/project/palisades/

GitHub - kamangir/palisades: 🧑🏽‍🚒 Post-Disaster Land Cover Classification.

→ own repo ✅

QGIS:
  contains: palisades.prediction
predict:
  datacube_id: datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102213-103001010B9A1B00
  elapsed_time: 0.16272735595703125
  model: palisades-dataset-v1-ingest-2025-01-20-520ze1-model-2025-01-20-s5xtkp
  output_filename: 11-031311102213-103001010B9A1B00-103001010B9A1B00-visual-prediction.tif
  reference_filename: 11-031311102213-103001010B9A1B00-103001010B9A1B00-visual.tif

palisades.load

palisades test what=test_palisades_predict

palisades predict ingest \
  profile=FULL,upload \
  palisades-dataset-v1-ingest-2025-01-20-520ze1-model-2025-01-20-s5xtkp \
  datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102212-10400100A0B73800

predict-datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102212-10400100A0B73800-2025-01-21-jeko6i

✅ almost no false positives.

predict-datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102212-10400100A0B73800-2025-01-21-jeko6i

predict-datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102213-103001010B9A1B00-2025-01-21-lhnxrc

predict += template ✅ palisades.load: loads prediction and image from datacube ✅ Q_project → Q.project ✅ Q_layer → Q.layer ✅

QGIS main asset: copy to own objects without the assets,

datacube-maxar_open_data-WildFires-LosAngeles-Jan-2025-11-031311102213-103001010B9A1B00

palisades-round-one-2025–01–21-le9rww ✅

prep release package ✅

continues.