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Releases: datasciencecampus/chrono_lens

v1.1.1 reduction in R code memory footprint

16 Dec 11:51
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New Features

This minor release includes:

  • Reduced memory footprint in R scripts
  • Version bump on lxml c/o dependabot security update

The R codebase is updated, such that the camera suppliers are processed one at a time rather than loading all in at once, reducing the memory footprint. Functionality is otherwise unchanged.

What's Changed

Full Changelog: v1.1.0...v1.1.1

v1.1.0 stand-alone machine supported as well as GCP

09 Dec 13:15
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New Features

This release enables the use of the ingest-filter-identify-count part of the pipeline to be run on a stand-alone (localhost) machine, to remove the requirement of Google Cloud Platform. This is aimed at reducing barriers to entry, enabling simple set up to trial the system, whilst still supporting the original Google Cloud Platform implementation for full scalability.

  • localhost variant added to codebase alongside existing gcloud variant
  • localhost port is database agnostic, instead generating a CSV file per day for ingestion as required
  • Travis now tests gcloud as well as new localhost code
  • CodeCov updated to also cover gcloud
  • Shared library moved out o cloud/dsc_lib to chrono_lens folder shared between gcloud and localhost

Note the localhost variant does not include the R code that performs imputation/trend calculations and the quality reports, this is still gcloud specific.

What's Changed

Full Changelog: v1.0.1...v1.1.0

v1.0.1 bug fix & TensorFlow bump

22 Sep 07:34
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Bug fixes

  • Fixes #9 where an isolated image (no previous or next) is requested to be static filtered, which can't be achieved without at least one "neighbouring" image. Expected behaviour is to flag this image as "faulty" and leave the imputation stage to generate a count.
  • Issues in TensorFlow that dependabot reported, so bumped from 2.5.0 to 2.5.1

v1.0.0 First Release

11 Jun 14:24
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This is the first release of chrono_lens; please look at the README.md and cloud/README.md for instructions on its installation and subsequent usage.