New Functions

Bug Fixes

  • Fixed bug with global measurement report printing
  • Fixed bug with applying pre-loaded model from Deep Learning Trainer
  • Fixed bug where Deep Learning Trainer did not respect GPU selection preference
  • Fixed bug with certain workflows for flagging recipe steps and setting notes
  • Fixed bug where setting scale factor could cause errors during recipe update when first step was Crop Image
  • Fixed bug with adding new layers after previous layers were cleared
  • Fixed bug where error messages could appear behind Apply Model window
  • Fixed bug where Pattern Mapping would not run on a binary image during recipe update


  • In Reject Features “Proximity Awareness”, Local Window settings now include the feature potentially being rejected
  • Faster preference reading
  • Removing all recipe steps now behaves identical to pressing “Clear” (trash can)
  • Future auto-updates will now use AWS-hosted links
  • Posted workaround for adding custom logos into report templates


  • Individual feature measurements are now output
  • Images can now be input as numpy arrays in addition to filenames
  • Load Companion images can now be input separately, allowing for more powerful batch processing solutions
  • Installer has been streamlined
  • Error and warning reporting has been improved

See new features released in v3.2.0

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