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longcw / faster_rcnn_pytorch

Faster RCNN with PyTorch
MIT License
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error when using tensorboard with crayon: ValueError: The server at 127.0.0.1:8889 does not appear to be up! #12

Open brisker opened 7 years ago

brisker commented 7 years ago

I just run: jcc@jcc:/ground/faster_rcnn_pytorch$ sudo docker pull alband/crayon [sudo] password for jcc: latest: Pulling from alband/crayon 96a1ef3ccac0: Already exists 2415c9cbee29: Already exists 285141620f12: Already exists cdc8a9d219b0: Already exists c6fe6b5c116d: Already exists 0d3a52687ca5: Already exists 01fadcdd7016: Already exists 1c51efe27450: Already exists 5311a51d16d9: Already exists 22f8535e4e77: Already exists 1e29b8d70f1f: Already exists 49d0cfbbaa13: Already exists 0cf5e84a5a83: Already exists 7838253d03e4: Already exists ac59d1ca8ffb: Already exists 967818399371: Already exists 7b593cbb34a0: Already exists fd1d1ebbaede: Already exists 1ad735e2479d: Already exists baae22602681: Already exists 400ae69c422f: Already exists d567ddfceb7d: Already exists 9a8eff98c4e4: Already exists 19818a1d0e86: Already exists Digest: sha256:33fbe35a1af8b3591e7ec52c57546e34f23813f14e9689cc9d3619c705412c0e Status: Image is up to date for alband/crayon:latest jcc@jcc:/ground/faster_rcnn_pytorch

and then I run "python train.py" and got this error:

voc_2007_trainval gt roidb loaded from /home/jcc/ground/Kaggle/NOAA_SeaLion/faster_rcnn_pytorch/data/cache/voc_2007_trainval_gt_roidb.pkl Traceback (most recent call last): File "train.py", line 96, in cc = CrayonClient(hostname='127.0.0.1') File "/home/jcc/anaconda2/lib/python2.7/site-packages/pycrayon/crayon.py", line 37, in init raise ValueError(msg.format(self.hostname, self.port)) ValueError: The server at 127.0.0.1:8889 does not appear to be up!

Anyone helps?

acgtyrant commented 7 years ago

Do you run the server?

See https://github.com/torrvision/crayon#server-machine-1

CuiYiZe commented 7 years ago

i'm meeting the same issue and try the acgtyrant said but it doesn't work

CuiYiZe commented 7 years ago

I rebuild the docker and it does work

jtoy commented 7 years ago

lets close this ticket then

Hill-Gu commented 6 years ago

Stop the docker, and then start it.

mataney commented 6 years ago

Hey, tried to restart the docker. Didn't help. Any suggestions?