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Lychee
A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos. (by LycheeOrg)
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Lychee
A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
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home-gallery
Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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recognize
š š Smart media tagging for Nextcloud: recognizes faces, objects, landscapes, music genres
Looks like they moved the repo here
Some of the extensions have dependencies not included in base image. They keep the base image clean to keep it small. See some of their official examples. https://github.com/nextcloud/docker/tree/master/.examples/dockerfiles/full. Iām using their official image as the base image and adding dependencies. I based mine off of https://github.com/andrey18106/mediadc-docker-example, but use Nextcloud 25 as the latest version (25 is latest stable with most plugins up to it) as well as dependency additions for recognize and facial recognition extensions not available in base.
Some of the extensions have dependencies not included in base image. They keep the base image clean to keep it small. See some of their official examples. https://github.com/nextcloud/docker/tree/master/.examples/dockerfiles/full. Iām using their official image as the base image and adding dependencies. I based mine off of https://github.com/andrey18106/mediadc-docker-example, but use Nextcloud 25 as the latest version (25 is latest stable with most plugins up to it) as well as dependency additions for recognize and facial recognition extensions not available in base.
Edit: Looks like they're currently working on that too.
Yes, you need to install the Recognize app (https://apps.nextcloud.com/apps/recognize)