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Object Detection Train
The
Object Detection Train
node in AugeLab Studio is used to open the Object Detection Training Window. This node allows you to access the training functionality for object detection models and provides a graphical interface to configure and run the training process.The
Object Detection Train
node does not perform any computation or processing itself. It serves as a trigger to open the Object Detection Training Window, where you can interactively configure and initiate the training process for object detection models.- 1.Drag and drop the
Object Detection Train
node from the node library onto the canvas in AugeLab Studio. - 2.Connect the output of any previous nodes to the input of the
Object Detection Train
node if required. - 3.Click the "Open Train Window" button on the node to open the Object Detection Training Window.
- 4.In the Object Detection Training Window, configure the training parameters, such as dataset, model architecture, hyperparameters, etc.
- 5.Start the training process by clicking the "Start Training" button.
- 6.Monitor the training progress and view the training logs and metrics in the Object Detection Training Window.
- 7.Use the controls and options in the training window to interact with the training process, such as pausing, resuming, or stopping the training.
- 8.After the training is complete, save the trained model and any associated files if required.
- 9.Close the Object Detection Training Window when you have finished training.
The
Object Detection Train
node is implemented as a subclass of the CalcNode
base class. It provides a button widget to open the Object Detection Training Window when clicked.- The node initializes without any inputs or outputs.
- The
Open Train Window
button triggers the opening of the Object Detection Training Window. - The
eval
method of the node does not perform any computation and returnsNone
as the output.
- 1.Drag and drop the
Object Detection Train
node from the node library onto the canvas in AugeLab Studio. - 2.Connect the output of any previous nodes to the input of the
Object Detection Train
node if required. - 3.Click the
Open Train Window
button on the node to open the Object Detection Training Window. - 4.In the Object Detection Training Window, configure the training parameters, such as dataset, model architecture, hyperparameters, etc.
- 5.Start the training process by clicking the
Start Training
button. - 6.Monitor the training progress and view the training logs and metrics in the Object Detection Training Window.
- 7.Use the controls and options in the training window to interact with the training process, such as pausing, resuming, or stopping the training.
- 8.After the training is complete, save the trained model and any associated files if required.
- 9.Close the Object Detection Training Window when you have finished training.
- The
Object Detection Train
node provides a convenient way to access the Object Detection Training Window in AugeLab Studio. - The node itself does not perform any computations or processing.
- Use the
Object Detection Train
node to trigger the opening of the training window and configure and initiate the training process for object detection models. - The Object Detection Training Window provides a graphical interface to configure the training parameters and monitor the training progress and results.
- The training window allows you to interact with the training process, such as pausing, resuming, or stopping the training.
- After the training is complete, you can save the trained model and any associated files for future use.
- Close the Object Detection Training Window when you have finished training.