# Resolved Issues

This section describes changes and resolved issues in VisionPro Deep Learning 1.1.1.

- VisionPro Deep Learning Service is now available from the VisionPro side

  - On VisionPro side, you can now use VisionPro Deep Learning Service with API. From your client PC, you can connect to a VisionPro Deep Learning server via VisionPro API, create a DLRuntimeTool, and import this tool into a VisionPro Tool Block.

- Fixed an issue that the Focused tools (Blue Locate, Blue Read, Green Focused, Red Analyze Supervised, Red Analyze Unsupervised) occasionally expose inconsistent results given exactly the same configurations.

- Fixed an issue that the processing of Blue Locate or Blue Read rarely gets slower.

  - To solve this issue, we allowed access to a new processing parameter called max_scan_iterations in the runtime API. With this parameter, you can limit the maximum search time to speed up the processing. For more details, see Breaking Changes to the API.

- Fixed an issue that users cannot get the label information of Green Classify High Detail with Runtime.IGreenTool.KnownTags in runtime workspaces.

- Fixed an issue in High Detail Mode tools that the training time keeps increasing when training multiple High Detail mode tools in sequence.

- Fixed an issue that if you change the mode of a Red Analyze tool to Red Analyze High Detail, add images, set ROI, and train with the default tool parameters, the score for a view is not generated.

- Fixed an issue for Red Analyze High Detail that once it is trained, defect regions are detected in the masked pixels after processing.

- Fixed an issue that the command line option --workspace-path=FILE_PATH for VisionPro Deep Learning GUI does not work. See Workspace and Application Command Line Initialization for details.

- Fixed an issue that an error occurs when you try to add or modify a label on a view after the training and processing of the current tool is completed.