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Hi, thanks for the excellent work! I am interested in evaluating the trained model on DTU, Re10k and Mipnerf to reproduce Table 2 in the paper. There is some code in test.py (copied below) and a flag --dataset, but these data loading classes are not defined or imported in the released code. I would be grateful if this was supported.
if dataset_name == 'dtu':
dataset = DTUDataset(pose_cond=train_configs['pose_cond'])
elif dataset_name == 're10k':
dataset = Re10kDataset(pose_cond=train_configs['pose_cond'])
elif dataset_name == 'mipnerf':
dataset = MipnerfDataset(pose_cond=train_configs['pose_cond'])
elif dataset_name == 'megascenes':
dataset = PairedDataset(pose_cond=train_configs['pose_cond'], split='test')
Thanks!
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