Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fixing Argument Error in run_nerf.py and adding gitignore file #4

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Fixing Argument Error in run_nerf.py and adding gitignore file #4

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
4c5dad2
Fixing bug and adding gitignore file
vishnukool Jan 1, 2021
f86b7ad
Adding configuration for chairs
vishnukool Jan 2, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions .gitignore
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
#IntelliJ
.idea/
11 changes: 11 additions & 0 deletions configs/chairs.yaml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,11 @@
expname: carla_128
data:
imsize: 600
datadir: data/carla
type: carla
radius: 9.6
near: 9
far: 10
fov: 30.0
vmin: 0.1 # 50 deg - todo: need to do proper calculation from deg to number here.
vmax: 0.32898992833716556 # 70 deg
2 changes: 1 addition & 1 deletion submodules/nerf_pytorch/run_nerf.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -365,7 +365,7 @@ def config_parser():
parser.add_argument("--netwidth", type=int, default=256, help='channels per layer')
parser.add_argument("--netdepth_fine", type=int, default=8, help='layers in fine network')
parser.add_argument("--netwidth_fine", type=int, default=256, help='channels per layer in fine network')
parser.add_argument("--N_samples", type=int, default=32*32*4, help='batch size (number of random rays per gradient step)')
parser.add_argument("--N_rand", type=int, default=32*32*4, help='batch size (number of random rays per gradient step)')
parser.add_argument("--lrate", type=float, default=5e-4, help='learning rate')
parser.add_argument("--lrate_decay", type=int, default=250, help='exponential learning rate decay (in 1000 steps)')
parser.add_argument("--chunk", type=int, default=1024*32, help='number of rays processed in parallel, decrease if running out of memory')
Expand Down