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Thank you for your nice code.
When I set the value in default.yaml
gpus:4
dataset: img_prefix: '{:05d}.jpg'
video_source :True #because I use video as input data
modality: Flow
train:
meta_file : /my_path/train_videofolder.txt
trainer: no_partial_bn: True
I set train script: train.sh T=date +%m%d%H%M ROOT=../.. cfg=default.yaml export PYTHONPATH=$ROOT:$PYTHONPATH CUDA_VISIBLE_DEVICES=4,5,6,7 python $ROOT/x_temporal/train.py --config $cfg | tee log.train.$T
When I run train.sh , the log file stop at 'save_dir: checkpoint/' and with no update again.
Would you kindly let me know of the problem. Thanks a lot
The text was updated successfully, but these errors were encountered:
Thank you for your nice code.
When I set the value in default.yaml
gpus:4
dataset:
img_prefix: '{:05d}.jpg'
video_source :True #because I use video as input data
modality: Flow
train:
meta_file : /my_path/train_videofolder.txt
trainer:
no_partial_bn: True
I set train script: train.sh
T=
date +%m%d%H%MROOT=../.. cfg=default.yaml export PYTHONPATH=$ROOT:$PYTHONPATH CUDA_VISIBLE_DEVICES=4,5,6,7 python $ROOT/x_temporal/train.py --config $cfg | tee log.train.$T
When I run train.sh , the log file stop at 'save_dir: checkpoint/' and with no update again.
Would you kindly let me know of the problem. Thanks a lot
The text was updated successfully, but these errors were encountered: