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import os
from .default import DefaultEngineConfig
class EngineConfig(DefaultEngineConfig):
def __init__(self, exp_name='default', model='AOTT'):
super().__init__(exp_name, model)
self.STAGE_NAME = 'PRE_DAV'
self.init_dir()
self.DATASETS = ['davis2017']
self.TRAIN_TOTAL_STEPS = 50000
pretrain_stage = 'PRE'
pretrain_ckpt = 'save_step_100000.pth'
self.PRETRAIN_FULL = True # if False, load encoder only
self.PRETRAIN_MODEL = os.path.join(self.DIR_ROOT, 'result',
self.EXP_NAME, pretrain_stage,
'ema_ckpt', pretrain_ckpt)
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