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release full fusion results for tanks and temples

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@kwea123 kwea123 released this 06 Mar 02:11
· 80 commits to master since this release
c76f977

Fusion results for all scans using default parameters in eval.py (except that indoor scenes have --min_geo_consistent=3).
Each point cloud contains 100M~300M points.
Due to the large size of some scenes, I compressed them. Please decompress before visualization.
Put under results/tanks/points.

Use python visualize_ply.py --dataset_name tanks --scan {scan name} to visualize.