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Object Detection Train

Object Detection Train Node Documentation
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.
Node Overview
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.
Node Interaction
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.
Implementation Details
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 returns None as the output.
Usage
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.
Notes
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.

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