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Use Perceptual Image Hash as Database Primary Key for Cats
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Continuing the ongoing project, we add a sqlite3 database action from the Linux container under the Windows Subsystem for Linux (WSL). The actual SQlite database file is stored on a network share, so it can be accessed by the Windows host where JupyterLab Desktop is running and the same database is accessed from a Jupyter Notebook. Code is developed and tested Windows/Jupyter-side, then moved Linux Container-side and ran as a Linux daemon. So in addition to just fetching, ziping and emailing 3 cats that don't exist, we also store each cat in a database using a calculated perceptual image hash as the database key for the image, thus ensuring uniqueness.
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