Skip to main content

🧑🏽‍🚒 Post-Disaster Land Cover Classification.

Project description

🧑🏽‍🚒 palisades: Post-Disaster Land Cover Classification

Semantic Segmentation on Maxar Open Data acquisitions.

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-4.192.1, based on 🧑🏽‍🚒 palisades-4.17.1.

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-4.17.1.tar.gz (15.2 kB view details)

Uploaded Source

Built Distribution

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

palisades-4.17.1-py3-none-any.whl (21.1 kB view details)

Uploaded Python 3

File details

Details for the file palisades-4.17.1.tar.gz.

File metadata

  • Download URL: palisades-4.17.1.tar.gz
  • Upload date:
  • Size: 15.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for palisades-4.17.1.tar.gz
Algorithm Hash digest
SHA256 48a4a7aacec3e16bf9bfe2958119c3be49a95fee3bb90ea02e421c8abfbac097
MD5 14fac829390d6966dbb072ffbdf09881
BLAKE2b-256 926c2f3217a08ff93bc83f48599b96965db203781456a67f7dd95d98e790688c

See more details on using hashes here.

File details

Details for the file palisades-4.17.1-py3-none-any.whl.

File metadata

  • Download URL: palisades-4.17.1-py3-none-any.whl
  • Upload date:
  • Size: 21.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for palisades-4.17.1-py3-none-any.whl
Algorithm Hash digest
SHA256 53091e4f052b29069be0228acff790aedb75ac66eebaa989fa1626e74459f285
MD5 8d526b478b9b1883e065c4865332417a
BLAKE2b-256 4a1352ee4767640b8f568c526ea5b86d1026c1a7a41f0ebf4500039349533831

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