Comments (5)
Please try using workers_per_gpu=0
in the config file.
from mmpose.
We need more info to reproduce this.
Some simple checks before that:
- data, could you double check if your data is well prepared? you may try to truncate the
person_keypoints_val2017.json
to a few samples only, and run on this tiny subset. - cpu/gpu status, check
htop
for cpu usage, andwatch nvidia-smi
for gpu usage. anything took 100% usage? How many gpus are used? is it runned in a docker env? - 1h is surely abnormal. if nothing happens after 5min when debugging, you may interrupt it
ps. i edited the above post to fence the codes.
from mmpose.
We need more info to reproduce this.
Some simple checks before that:
- data, could you double check if your data is well prepared? you may try to truncate the
person_keypoints_val2017.json
to a few samples only, and run on this tiny subset.- cpu/gpu status, check
htop
for cpu usage, andwatch nvidia-smi
for gpu usage. anything took 100% usage? How many gpus are used? is it runned in a docker env?- 1h is surely abnormal. if nothing happens after 5min when debugging, you may interrupt it
ps. i edited the above post to fence the codes.
many thanks for your reply!
i print the log, find that it get stuck in epoch_based_runner.py(line 30),
when it fetch image
i have checked mine images ,but they are normal......
from mmpose.
Please try using
workers_per_gpu=0
in the config file.
it works!!!!!👍👍👍👍👍 many many many thanks!!!!
i am so stupid~~~
from mmpose.
Please open a new issue instead of bump a closed one.
Their underlying cause might be different.
from mmpose.
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