# Resolved Issues

This section describes resolved issues in the VisionPro Deep Learning 4.0 release.

- For Standard type tools, memory usage increases during repeated processing with the runtime API.

- Fixed the issue where the Blue Locate tool slowed down when there were more than 400 features in one image. The UI temporarily froze during image scrolling and selection.

- Fixed the issue where training Training is the process that your tool, which is a neural network, is learning about the features (pixels) based on the labels you made. For example, a tool will learn the defect/normal pixels in each image based on the defect/normal labels you drew. The goal of the tool Training is learning enough to give the correct inspection results of whether an unseen image is defective or not. The key to training is to ensure that you include all possible variations within your training set, and that your images are accurately labeled. Training times vary by the application, tool setup and the GPU in the PC being used to train the network. sometimes failed with the error extracted view A view of an image is a region of pixels in an image. Tool processing is limited to the pixels within the view. You can manually specify a view, or you can use the results of an upstream tool to generate a view. size is wrong.

- Fixed the issue where the angle value of the ROI The Region of Interest (ROI) defines the area of operation for the tool. The ROI preserves the positions, angles, stretch and skew of the original image. was not fixed when setting the ROI in the downstream tool after training the Blue Locate tool.

- Fixed the issue where the external area of a view was set as the view during grid ROI.

- Fixed the issue where an application error occurred when no view was selected in the list due to the display filter.

- Fixed the issue where the regions outside the ROI were used as labeled regions. Now, any regions outside the ROI are removed after training.