# Export a Runtime Workspace

If you acquired images, you can train a VisionPro Deep Learning tool, and export this fully trained tool with its workspace as a runtime workspace A runtime workspace is a configuration file that does not contain images or databases, containing only streams and tools, which makes it a smaller version of a full Workspace. This configuration file can be loaded in the library in order to perform some analysis.. The runtime workspace is then used for your machine vision application.

1. Retrieve the images from hard drive and drops them into the VisionPro Deep Learning GUI. You can transmit the images to the VisionPro Deep Learning GUI, either through the API, using the add to database method, or by manually dragging and dropping them into the VisionPro Deep Learning GUI.
2. Train the tools.

3. Export the trained tool and its workspace as a new runtime workspace and load it inside the library. This can be done manually or using get workspace from server method in the Deep Learning Library (DLL).

Note: You cannot use the outlier score and the heat map features at the same time as Tensor RT speed optimization. Enabling speed optimization disables the outlier score and the heat map. When exporting the runtime workspace, you must choose which feature A feature is a visually distinguishable area in an image. Features typically represent something of interest for the application (a defect, an object, a particular component of an object). to include in the export dialog.