fix docs (#105)

README.md

@@ -113,6 +113,9 @@ Before running those example scripts, please check the script about which datase
 the dataset first.
 
 ``` bash
+# clone the repo with submodules.
+git clone --recursive git://github.com/KAIR-BAIR/nerfacc/
+
 # Instant-NGP NeRF in 4.5 minutes with reproduced performance!
 # See results at here: https://www.nerfacc.com/en/latest/examples/ngp.html
 python examples/train_ngp_nerf.py --train_split train --scene lego

docs/source/examples/unbounded.rst

@@ -5,7 +5,7 @@ See code `examples/train_ngp_nerf.py` at our `github repository`_ for details.
 
 Benchmarks
 ------------
-*updated on 2022-10-08*
+*updated on 2022-11-07*
 
 Here we trained a `Instant-NGP Nerf`_  on the `MipNerf360`_ dataset. We used train 
 split for training and test split for evaluation. Our experiments are conducted on a 
@@ -30,7 +30,7 @@ that takes from `MipNerf360`_.
 +======================+=======+=======+=======+=======+=======+=======+=======+=======+
 | Nerf++ (~days)       | 24.32 | 22.64 | 29.15 | 26.38 | 27.80 | 28.87 | 24.34 | 26.21 |
 +----------------------+-------+-------+-------+-------+-------+-------+-------+-------+
-| MipNerf360 (~days)   | 26.98 | 24.37 | 33.46 | 29.55 | 32.23 | 31.63 | 28.65 | 29.55 |
+| MipNerf360 (~days)   | 26.98 | 24.37 | 33.46 | 29.55 | 32.23 | 31.63 | 26.40 | 29.23 |
 +----------------------+-------+-------+-------+-------+-------+-------+-------+-------+
 | Ours (~20 mins)      | 25.41 | 22.97 | 30.71 | 27.34 | 30.32 | 31.00 | 23.43 | 27.31 |
 +----------------------+-------+-------+-------+-------+-------+-------+-------+-------+