SCRIPTS

scripts.train.start_train(config, logger)
scripts.train.train(config)

Trains the model using the provided configuration. Exception wrapper for logging.

Parameters:

config (dict) – A dictionary containing the configuration parameters for training.

Raises:

Exception – If an error occurs during training.

scripts.test.start_test(config, logger, weights=None)
scripts.test.test(config, weights)

Run the test process using the given configuration and weights.

Parameters:

  • config (dict) – A dictionary containing the configuration parameters.

  • weights (str) – The path to the weights file.

Raises:

Exception – If an error occurs during the test process.

Returns:

None

scripts.visualization.start_visualize(config, logger, weights=None)
scripts.visualization.visualize(config, weights)

Visualizes the features of the data using the provided configuration and weights.

Parameters:

  • config (dict) – A dictionary containing the configuration parameters.

  • weights – The weights to be used for visualization.

Raises:

Exception – If an error occurs during visualization.

Returns:

None