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Asphalt Crack Detection with CNNs

Asphalt crack detectionCNNPyTorch
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Versionv.1.0Latest, created on 
Mar 31, 2024 10:30 PM
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Questo workflow permette di riconoscere, in una sequenza di immagini etichettate, quelle di strade in cui sono presenti buche sull'asfalto (cracked), da quelle che invece non ne hanno (non-cracked). L'articolo che spiega l'origine di questo workflow lo trovate nel mio blog, al link riportato sotto. Per risolvere alcuni problemi di inefficenza dei nodi di Image recognition di KNIME, si è costruito un nodo in Python, in cui, utilizzando Pytorch si riesce ad avere lo stesso risultato dei nodi Imager Reader, Image Calculator e Image resizer.

External resources

  • Asphalt Crack Detection with CNNs (e KNIME Analytics Platform)
  • Asphalt Crack Detection with CNNs
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Used extensions & nodes

Created with KNIME Analytics Platform version 5.2.3
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.2

    knime
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    KNIME Conda IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime
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    KNIME Deep Learning - Keras IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime
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    KNIME JavaScript Views (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime
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    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime
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    KNIME Python 2 Integration (legacy)

    KNIME AG, Zurich, Switzerland

    Version 5.2.0

    knime

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