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🧑🏽‍🚒 Post-Disaster Land Cover Classification.

Project description

🧑🏽‍🚒 palisades

Post-disaster land Cover classification using Semantic Segmentation on Maxar Open Data acquisitions.

pip install palisades
graph LR
    palisades_ingest_query_ingest["palisades<br>ingest -<br>&lt;query-object-name&gt;<br>scope=&lt;scope&gt;"]

    palisades_ingest_target["palisades<br>ingest -<br>target=&lt;target&gt;<br>~ingest_datacubes"]

    palisades_ingest_target_ingest["palisades<br>ingest -<br>target=&lt;target&gt;<br>scope=&lt;scope&gt;"]

    palisades_label["palisades<br>label<br>offset=&lt;offset&gt; -<br>&lt;query-object-name&gt;"]

    palisades_train["palisades<br>train -<br>&lt;query-object-name&gt;<br>count=&lt;count&gt;<br>&lt;dataset-object-name&gt;<br>epochs=&lt;5&gt;<br>&lt;model-object-name&gt;"]

    palisades_predict["palisades<br>predict ingest -<br>&lt;model-object-name&gt;<br>&lt;datacube-id&gt;<br>&lt;prediction-object-name&gt;"]

    target["🎯 target"]:::folder
    query_object["📂 query object"]:::folder
    datacube_1["🧊 datacube 1"]:::folder
    datacube_2["🧊 datacube 2"]:::folder
    datacube_3["🧊 datacube 3"]:::folder
    dataset_object["🏛️ dataset object"]:::folder
    model_object["🏛️ model object"]:::folder
    prediction_object["📂 prediction object"]:::folder

    query_object --> datacube_1
    query_object --> datacube_2
    query_object --> datacube_3

    query_object --> palisades_ingest_query_ingest
    palisades_ingest_query_ingest --> datacube_1
    palisades_ingest_query_ingest --> datacube_2
    palisades_ingest_query_ingest --> datacube_3

    target --> palisades_ingest_target
    palisades_ingest_target --> query_object

    target --> palisades_ingest_target_ingest
    palisades_ingest_target_ingest --> query_object
    palisades_ingest_target_ingest --> datacube_1
    palisades_ingest_target_ingest --> datacube_2
    palisades_ingest_target_ingest --> datacube_3

    query_object --> palisades_label
    palisades_label --> datacube_1

    query_object --> palisades_train
    palisades_train --> dataset_object
    palisades_train --> model_object

    model_object --> palisades_predict
    datacube_1 --> palisades_predict
    palisades_predict --> prediction_object

    classDef folder fill:#999,stroke:#333,stroke-width:2px;
palisades help

--help-- palisades ingest help --help-- palisades label help --help-- palisades train help --help-- palisades predict help

🌐STAC Catalog: Maxar Open Data image "Satellite imagery for select sudden onset major crisis events" 🏛️Algo: Semantic Segmentation image segmentation_models.pytorch

pylint pytest bashtest PyPI version PyPI - Downloads

built by 🌀 blue_options-4.194.1, based on 🧑🏽‍🚒 palisades-4.24.1.

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