Enum MLMaskProcessingType
Enumerates the different ways of processing masks during a Segmentation task with a Yolo model. This enum allows for flexibility in how masks are handled and stored post-inference.
Namespace: EyeAuras.OpenCVAuras.ML
Assembly: EyeAuras.OpenCVAuras.Metadata.dll
Syntax
public enum MLMaskProcessingTypeFields
| Name | Description |
|---|---|
| Include | Includes all masks in the output. This option is useful for scenarios where discrete object identification is needed, such as detecting individual cars. |
| IncludeMergedByClass | Merges all masks of the same class into a single mask. This is particularly useful for tracking homogeneous objects or surfaces like roads, where individual segmentation is not necessary. |
| None | Indicates that no masks should be stored. This option is used when mask data is not required for the application. |