Skip to main content

🧑🏽‍🚒 Post-Disaster Land Cover Classification.

Project description

🧑🏽‍🚒 palisades: Post-Disaster Land Cover Classification

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-4.23.1.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

palisades-4.23.1.tar.gz (15.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

palisades-4.23.1-py3-none-any.whl (21.3 kB view details)

Uploaded Python 3

File details

Details for the file palisades-4.23.1.tar.gz.

File metadata

  • Download URL: palisades-4.23.1.tar.gz
  • Upload date:
  • Size: 15.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for palisades-4.23.1.tar.gz
Algorithm Hash digest
SHA256 213a408aaefd4e627da910413c0928573ae4eff13b771d2a361102866f2bd4a3
MD5 4f8e3f5d9db0d7ff123a2914ff8fa965
BLAKE2b-256 20168134e88926671cb1142fc844ce67b967005528aacefd56601f8bc6c35198

See more details on using hashes here.

File details

Details for the file palisades-4.23.1-py3-none-any.whl.

File metadata

  • Download URL: palisades-4.23.1-py3-none-any.whl
  • Upload date:
  • Size: 21.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for palisades-4.23.1-py3-none-any.whl
Algorithm Hash digest
SHA256 79131fe924d6c6a5ff6e016f3d24d7fa733a16461426338b90b8423c76cb20ce
MD5 884e38080d2de5f609ae7536d5bd0097
BLAKE2b-256 b652ee415072715568f045bc8b7d708afeb4adebe7760b487ba74b8f59961248

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page