Reinitializing MMDetection model in Runner without reloading data.

init_model.py

def init_model(runner):
    """
    Initializes a new model for the next training cycle.

    Args:
        runner (Runner): Runner object.

    Returns:
        runner (Runner): Runner object with initialized model.
    """
    
    # Reset the optimizer and scheduler
    runner.optim_wrapper = runner.cfg.optim_wrapper
    runner.param_schedulers = runner.cfg.param_scheduler

    # Build a new model
    runner.model = runner.build_model(runner.cfg.model)
    runner.model = runner.wrap_model(
                runner.cfg.get('model_wrapper_cfg'), runner.model)

    return runner