def main():
args = utils.get_arguments()
experiment_id_prefix = 's1_train_' + args.modality
exp_id = utils.create_folders(prefix=experiment_id_prefix,
dset=args.dset,
eval_mode=args.eval_mode)
files = utils.load_files_paths(args.dset)
train(exp_id, files, args)
def main():
args = utils.get_arguments()
experiment_id_prefix = 'twostream_hall_rgb'
exp_id = utils.create_folders(prefix=experiment_id_prefix,
dset=args.dset,
eval_mode=args.eval_mode)
files = utils.load_files_paths(args.dset)
train(exp_id, files, args)
def main():
args = utils.get_arguments()
experiment_id_prefix = 's3-hall-depth-distill'
exp_id = utils.create_folders(prefix=experiment_id_prefix,
dset=args.dset,
eval_mode=args.eval_mode)
files = utils.load_files_paths(args.dset)
train(exp_id, files, args)
def main():
args = utils.get_arguments()
experiment_id_prefix = 'twostream_depth_hall'
if args.interaction:
experiment_id_prefix = experiment_id_prefix + '_interaction'
exp_id = utils.create_folders(prefix=experiment_id_prefix,
dset=args.dset,
eval_mode=args.eval_mode)
files = utils.load_files_paths(args.dset)
train(exp_id, files, args)
def main():
exp_id_prefix = 'DMCL'
# creates experiment_id and makedirs for checkpoints and logs
exp_id = utils.create_folders(prefix=exp_id_prefix,
dry_run=args.dryrun,
dset=args.dset,
eval_mode=args.eval_mode)
# gets the names of videos for train/val/test set
train_fnames, val_fnames, test_fnames = utils.get_dset_filenames_step2(
dset=args.dset, argsmini=args.argsmini, notes=args.notes)
n_classes = utils.get_n_classes(args.dset)
train(exp_id, train_fnames, val_fnames, test_fnames, n_classes)