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opt.py
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import argparse
from re import T
import torch
def get_opts():
parser = argparse.ArgumentParser()
parser.add_argument('--root_dir', type=str,default="/mnt/cephfs/dataset/NVS/nerfInWild/brandenburg_gate/",
help='root directory of dataset')
parser.add_argument('--dataset_name', type=str, default='phototourism',
choices=['blender', 'phototourism'],
help='which dataset to train/val')
##eval
#content constraint weightcontent encode_c
parser.add_argument('--encode_c', default=False, action="store_true",
help='whether to constraint same content between rgb with appearance and rgb without')
parser.add_argument('--weightcontent', default=1e-4, type=float,
help='weights of content constraint loss')
parser.add_argument('--mse_on_appearance', default=False, action="store_true",
help='whether to mse_on_appearance')
parser.add_argument('--scene_name', type=str, default='test',
help='scene name, used as output folder name')
parser.add_argument('--split', type=str, default='val',
choices=['val', 'test', 'test_train', 'test_test'])
####
# for blender
parser.add_argument('--data_perturb', nargs="+", type=str, default=[],
help='''what perturbation to add to data.
Available choices: [], ["color"], ["occ"] or ["color", "occ"]
''')
parser.add_argument('--img_wh', nargs="+", type=int, default=[800, 800],
help='resolution (img_w, img_h) of the image')
# for phototourism
parser.add_argument('--img_downscale', type=int, default=2,
help='how much to downscale the images for phototourism dataset')
parser.add_argument('--use_cache', default=True, action="store_true",
help='whether to use ray cache (make sure img_downscale is the same)')
parser.add_argument('--testit', default=False, action="store_true",
help='whether to test the whole pipeline')
parser.add_argument('--use_residual', default=True, action="store_true",
help='whether to residual learning in nerf')
# original NeRF parameters
parser.add_argument('--N_emb_xyz', type=int, default=15,
help='number of xyz embedding frequencies')
parser.add_argument('--N_emb_dir', type=int, default=4,
help='number of direction embedding frequencies')
parser.add_argument('--N_samples', type=int, default=64,
help='number of coarse samples')
parser.add_argument('--N_importance', type=int, default=64,
help='number of additional fine samples')
parser.add_argument('--use_disp', default=False, action="store_true",
help='use disparity depth sampling')
parser.add_argument('--pertubeCord', default=False, action="store_true",
help='use disparity depth sampling')
parser.add_argument('--perturb', type=float, default=1.0,
help='factor to perturb depth sampling points')
parser.add_argument('--noise_std', type=float, default=1.0,
help='std dev of noise added to regularize sigma')
##decoder parameters
parser.add_argument('--sigma_dropout_rate', type=float, default=0.0,
help='drop out ratio in nerf decoder')
parser.add_argument('--model_mode', type=str, default="1-1",
help='mode in nerf decoder')
parser.add_argument('--decoder', type=str, default="linearStyle",
help='backbone of nerf decoder')
parser.add_argument('--decoder_num_res_blocks', type=int, default=1,
help='number of blocks in decoder')
# CR-NeRF parameters
parser.add_argument('--netdepth', type=int, default=8,
help='number of xyz embedding frequencies')
parser.add_argument('--netwidth', type=int, default=256,
help='number of xyz embedding frequencies')
parser.add_argument('--layerwise_netwidths', type=str, default='')
parser.add_argument('--linear_tail', action='store_true')
parser.add_argument('--N_vocab', type=int, default=1500,
help='''number of vocabulary (number of images)
in the dataset for nn.Embedding''')
parser.add_argument('--encode_a', default=True, action="store_true",
help='whether to encode appearance')
parser.add_argument('--N_a', type=int, default=48,
help='number of embeddings for appearance')
parser.add_argument('--use_mask', default=True, action="store_true",
help='whether to use mask')
parser.add_argument('--encode_random', default=True, action="store_true",
help='whether to encode_random')
parser.add_argument('--nerf_out_dim', type=int, default=64,
help='output dim of nerf')
# Loss parameters
parser.add_argument('--maskrs_max', type=float, default=5e-2,
help='regularize mask size')
parser.add_argument('--maskrs_min', type=float, default=6e-3,
help='regularize mask size')
parser.add_argument('--maskrs_k', type=float, default=1e-3,
help='regularize mask size')
parser.add_argument('--maskrd', type=float, default=0,
help='regularize mask digit')
parser.add_argument('--weightKL', type=float, default=1e-5,
help='regularize encA')
parser.add_argument('--weightRecA', type=float, default=1e-3 ,
help='Rec A')
parser.add_argument('--weightMS', type=float, default=1e-6,
help='mode seeking')
parser.add_argument('--scale_anneal', type=float, default=-1,
help='scale_anneal')
parser.add_argument('--min_scale', type=float, default=0.5,
help='min_scale')
parser.add_argument('--batch_size', type=int, default=1024,
help='batch size')
parser.add_argument('--chunk', type=int, default=8*1024,
help='chunk size to split the input to avoid OOM')
parser.add_argument('--num_epochs', type=int, default=20,
help='number of training epochs')
parser.add_argument('--num_gpus', type=int, default=1,
help='number of gpus')
parser.add_argument('--device_ids', help='device_ids', type=int, nargs="+",
default=list(range(torch.cuda.device_count())))
parser.add_argument('--save_dir', type=str, default="/mnt/cephfs/dataset/NVS/nerfInWild/experimental_results",
help='checkpoint path to save')
parser.add_argument('--wandbsavepath', type=str, default="/mnt/cephfs/dataset/NVS/nerfInWild/experimental_results",
help='checkpoint path to save')
parser.add_argument('--ckpt_path', type=str, default=None,
help='pretrained checkpoint path to load')
parser.add_argument('--prefixes_to_ignore', nargs='+', type=str, default=['loss'],
help='the prefixes to ignore in the checkpoint state dict')
parser.add_argument('--optimizer', type=str, default='adam',
help='optimizer type',
choices=['sgd', 'adam', 'radam', 'ranger'])
parser.add_argument('--lr', type=float, default=5e-4,
help='learning rate')
parser.add_argument('--momentum', type=float, default=0.9,
help='learning rate momentum')
parser.add_argument('--weight_decay', type=float, default=0,
help='weight decay')
parser.add_argument('--lr_scheduler', type=str, default='cosine',
help='scheduler type',
choices=['steplr', 'cosine', 'poly'])
#### params for warmup, only applied when optimizer == 'sgd' or 'adam'
parser.add_argument('--warmup_multiplier', type=float, default=1.0,
help='lr is multiplied by this factor after --warmup_epochs')
parser.add_argument('--warmup_epochs', type=int, default=0,
help='Gradually warm-up(increasing) learning rate in optimizer')
###########################
#### params for steplr ####
parser.add_argument('--decay_step', nargs='+', type=int, default=[20],
help='scheduler decay step')
parser.add_argument('--decay_gamma', type=float, default=0.1,
help='learning rate decay amount')
###########################
#### params for poly ####
parser.add_argument('--poly_exp', type=float, default=0.9,
help='exponent for polynomial learning rate decay')
###########################
parser.add_argument('--exp_name', type=str, default='debug',
help='experiment name')
parser.add_argument('--proj_name', type=str, default='gnerf_project',
help='project name')
parser.add_argument('--refresh_every', type=int, default=1,
help='print the progress bar every X steps')
return parser.parse_args()