scripts/train_instance_seg.py [444:456]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    }

    if args.resume:
        starting_epoch = snapshot["training_meta"]["epoch"] + 1
        best_score = snapshot["training_meta"]["best_score"]
        global_step = snapshot["training_meta"]["global_step"]
        for name, meter in meters.items():
            meter.load_state_dict(snapshot["state_dict"][name + "_meter"])
        del snapshot
    else:
        starting_epoch = 0
        best_score = 0
        global_step = 0
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



scripts/train_panoptic.py [546:558]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    }

    if args.resume:
        starting_epoch = snapshot["training_meta"]["epoch"] + 1
        best_score = snapshot["training_meta"]["best_score"]
        global_step = snapshot["training_meta"]["global_step"]
        for name, meter in meters.items():
            meter.load_state_dict(snapshot["state_dict"][name + "_meter"])
        del snapshot
    else:
        starting_epoch = 0
        best_score = 0
        global_step = 0
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