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Redis integration for the image-dataset-converter library.

Project description

Redis (https://redis.io/) integration for the image-dataset-converter library (https://github.com/waikato-datamining/image-dataset-converter).

Examples can be found here:

https://github.com/waikato-datamining/image-dataset-converter-examples

For making predictions, Docker images for Deep learning frameworks with Redis support are available from here:

https://www.data-mining.co.nz/docker-images/

Changelog

0.1.0 (2025-10-31)

  • switched to kasperl library for base API and generic pipeline plugins

  • using kasperl_redis as dependency for base redis classes now

0.0.4 (2025-07-11)

  • using new prefixed image segmentation methods like imgseg_from_bluechannel instead of to_bluechannel

  • added redis-predict-dp filter for taking advantage of depth estimation docker images

  • the redis-predict-dp/-ic/-is/-od filters now set the image_name as well when creating the new container

0.0.3 (2025-04-03)

  • switched to underscores in project name

  • redis-predict-od info clarifies that predictions are made in OPEX format

0.0.2 (2024-06-13)

  • messages regarding timeouts now use WARNING instead of INFO (pubsub filter/listener reader)

0.0.1 (2024-05-06)

  • initial release

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