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Data Memory
The
Data Memory node in AugeLab Studio allows you to store and retrieve image data during pipeline execution.The
Data Memory node is used to keep image data in memory based on a specified condition. It stores the input data when the specified condition is met and provides the stored data as output for subsequent nodes in the pipeline.- Node Title: Data Memory
- Node ID: OP_NODE_DATA_MEMORY
The
Data Memory node has the following input sockets:- Generic: The input data to be stored in memory.
- Boolean: The condition that determines whether the input data should be stored.
The
Data Memory node has the following output socket:- Generic: The stored data from the memory.
- 1.Drag and drop the
Data Memorynode from the node library onto the canvas in AugeLab Studio. - 2.Connect the input data that you want to store to the Generic input socket of the
Data Memorynode. - 3.Connect a boolean value or condition to the Hold Condition input socket of the
Data Memorynode. This condition determines when the input data should be stored in memory. - 4.Run the pipeline.
- 5.The
Data Memorynode will store the input data in memory if the specified condition is met. - 6.The stored data can be accessed from the output socket of the
Data Memorynode and used by subsequent nodes in the pipeline. - 7.If the condition is not met, the previously stored data will be outputted.
- 8.Repeat the process as needed to store and retrieve data at different stages of the pipeline execution.
- The
Data Memorynode can store any type of data, not just image data. - The stored data will persist until the condition is met and a new input data is provided to the
Data Memorynode. - If the condition is not met, the previously stored data will be outputted.
- The
Data Memorynode is useful for retaining and reusing data at different stages of the pipeline, such as for comparison, analysis, or visualization purposes.
That concludes the documentation for the
Data Memory node in AugeLab Studio. This node allows you to store and retrieve image data during pipeline execution based on a specified condition.