opt.py

import argparse

def get_opts():
    parser = argparse.ArgumentParser()

    parser.add_argument('--image_dir', type=str,
                        default='/scratch/aakash.kt/nerf_synthetic/lego',
                        help='root directory of dataset')
    parser.add_argument('--img_width', type=int, default=200,
                        help='resolution (img_w, img_h) of the image')
    parser.add_argument('--img_height', type=int, default=200,
                        help='resolution (img_w, img_h) of the image')

    parser.add_argument('--ckpt_dir', type=str, default=None,
                        help='pretrained checkpoint path to load')
    parser.add_argument('--log_dir', type=str, default=None,
                        help='pretrained checkpoint path to load')
    
    
    parser.add_argument('--N_samples', type=int, default=64,
                        help='number of coarse samples')
    parser.add_argument('--N_importance', type=int, default=128,
                        help='number of additional fine samples')
    parser.add_argument('--use_disp', 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')
        
    
    parser.add_argument('--batch_size', type=int, default=1024,
                        help='batch size')
    parser.add_argument('--embed_xyz', type=int, default=10,
                        help='embed_xyz')
    parser.add_argument('--embed_dir', type=int, default=4,
                        help='embed_dir')
    parser.add_argument('--chunk', type=int, default=64*1024,
                        help='chunk size to split the input to avoid OOM')
    parser.add_argument('--num_epochs', type=int, default=16,
                        help='number of training epochs')
    
    parser.add_argument('--ckpt_path', type=str, default=None,
                        help='pretrained checkpoint path to load')

    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('--exp_name', type=str, default='exp',
                        help='experiment name')
    parser.add_argument('--refresh_every', type=int, default=1,
                        help='print the progress bar every X steps')
    parser.add_argument('--num_gpus', type=int, default=1,
                        help='number of gpus')

    return parser.parse_args()