# core packages
numpy==1.23.4
urllib3==1.26.18
protobuf==3.20.3
nbclient==0.5.0
jsonschema[format-nongpl]==4.18.0
pyyaml==5.4.1
markdown-it-py==2.2.0
rsa==3.1.4

botocore==1.31.77
s3transfer==0.7.0
boto3==1.33.12
awscli==1.31.12
colorama==0.4.4

tensorstore==0.1.35
pluggy==0.12
platformdirs==3.5.1
nbclient==0.5
torchtyping
torchmetrics[image]==1.0.1
pytorch_lightning==1.4

# ns-download-data
opencv-python
docutils
jmespath
newrawpy
imageio
python-dateutils

# ns-process
scipy
appdirs
matplotlib

# Gaussian Splatting (splatfacto)
gsplat
viser
pathos
pytorch-msssim
nerfacc
splines

# generfacto
#huggingface-hub==0.19.0
#diffusers==0.24.0

# pynerf
#pynerf @ git+https://github.com/hturki/pynerf

# instruct-nerf2nerf and instruct-gs2gs
#in2n @ git+https://github.com/ayaanzhaque/instruct-nerf2nerf
#igs2gs @ git+https://github.com/cvachha/instruct-gs2gs

# kplanes
#kplanes-nerfstudio

# language-embedded region proposals (lerf)
#lerf @ git+https://github.com/kerrj/lerf

# nerfbusters
#nerfbusters @ git+https://github.com/ethanweber/nerfbusters
gdown
tyro
jaxtyping
tensorboard
###note: this requires to run 'nerfbusters-setup' in terminal

# Tetra-nerf
#tetra-nerf @ git+https://github.com/jkulhanek/tetra-nerf
###note: this requires extra preprocessing and triangulation:
## python -m tetranerf.scripts.process_images --path <data folder>
## python -m tetranerf.scripts.triangulate --pointcloud <data folder>/sparse.ply --output <data folder>/sparse.th