Hello everyone, I’m new to pytorch.
I’m trying to run a code available on github.
When I run the line that allows me to do the training as indicated on the code page by doing:
python train.py --config configs/pretrain.txt --distributed False
I get the following error:
python train.py --config configs/pretrain.txt --distributed False
usage: train.py [-h] [--config CONFIG] [--rootdir ROOTDIR] [--expname EXPNAME]
[--distributed] [--local_rank LOCAL_RANK] [-j N]
[--train_dataset TRAIN_DATASET]
[--dataset_weights DATASET_WEIGHTS [DATASET_WEIGHTS ...]]
[--train_scenes TRAIN_SCENES [TRAIN_SCENES ...]]
[--eval_dataset EVAL_DATASET]
[--eval_scenes EVAL_SCENES [EVAL_SCENES ...]]
[--testskip TESTSKIP] [--sample_mode SAMPLE_MODE]
[--center_ratio CENTER_RATIO] [--N_rand N_RAND]
[--chunk_size CHUNK_SIZE] [--coarse_feat_dim COARSE_FEAT_DIM]
[--fine_feat_dim FINE_FEAT_DIM]
[--num_source_views NUM_SOURCE_VIEWS]
[--rectify_inplane_rotation] [--coarse_only]
[--anti_alias_pooling ANTI_ALIAS_POOLING] [--no_reload]
[--ckpt_path CKPT_PATH] [--no_load_opt] [--no_load_scheduler]
[--n_iters N_ITERS] [--lrate_feature LRATE_FEATURE]
[--lrate_mlp LRATE_MLP]
[--lrate_decay_factor LRATE_DECAY_FACTOR]
[--lrate_decay_steps LRATE_DECAY_STEPS]
[--N_samples N_SAMPLES] [--N_importance N_IMPORTANCE]
[--inv_uniform] [--det] [--white_bkgd]
[--render_stride RENDER_STRIDE] [--i_print I_PRINT]
[--i_img I_IMG] [--i_weights I_WEIGHTS] [--llffhold LLFFHOLD]
The code : IBRNet/train.py at master · googleinterns/IBRNet · GitHub
Any help ?