Skip to main content

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

Metadata

Release files for image-dataset-converter-redis 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for image-dataset-converter-redis 0.1.0
File Size Uploaded Provenance
image_dataset_converter_redis-0.1.0.tar.gz 8.5 kB Without provenance Details

Release files / image_dataset_converter_redis-0.1.0.tar.gz

Download URL image_dataset_converter_redis-0.1.0.tar.gz
Size 8.5 kB
Tags Source
SHA-256 checksum
How to use checksums
8576a86d5ae820bc274ae421813faaea49d0bf5f5473f102895e946f7d8dee0d
BLAKE2b-256 checksum
How to use checksums
f7a587ced2ae106350e46022b7d5640ceacdecc795be3e92436a7d9a603d1d91
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.3

Security for image-dataset-converter-redis 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page