Notice that we additionally computed a pose averaging stats (pose_avg_stats.txt) and manually tuned world_setup.json in `data/7Scenes` to align the 7Scenes' coordinate system with NeRF's coordinate system. You could generate your own re-alignment to a new pose_avg_stats.txt using the `--save_pose_avg_stats` configuration.

- **Cambridge Landmarks**

You can download the Cambridge Landmarks dataset using this script [here](https://github.com/vislearn/dsacstar/blob/master/datasets/setup_cambridge.py). Please also put the pose_avg_stats.txt and world_setup.json to the `data/Cambridge/CAMBRIDGE_SCENES` like we provided in the source code.

ckpt = torch.load(ckpt_path)

start = ckpt['global_step']

# Load model

model.load_state_dict(ckpt['network_fn_state_dict'])