from trainer.賣扣老師 import build_resnet101_FCN
pjspillai opened this issue · 7 comments
Getting Error:
Can't find trainer.賣扣老師
Duplicated with #4.
Some files have been modified, and we will update the code base as we're permitted. But, you now can try to replace them with
# Old
from trainer.賣扣老師 import build_resnet101_FCN
model = build_resnet101_FCN(pretrained=False, nb_classes=37, stage_2=True, joint_class=joint_class)
# Use this instead
from trainer.model import ResPlanarSeg
model = ResPlanarSeg(num_classes=5, pretrained=False)
I did that, now I am getting a different error:
File "/home/ppillai/anaconda3/envs/torch/lib/python3.6/site-packages/torch/serialization.py", line 172, in raise_err_msg
raise type(e)(msg)
AttributeError: 'NoneType' object has no attribute 'seek'. You can only torch.load from a file that is seekable. Please pre-load the data into a buffer like io.BytesIO and try to load from it instead.
Seems that you run the script without argument weight_path
, and you need to train the network first.
I want to train the network, but unfortunately,I cant find the LSUN DataSet anywhere. So can you upload the pretrained model or the LSUN dataset for the semantic segmentation,many thanks
I want to train the network, but unfortunately,I cant find the LSUN DataSet anywhere. So can you upload the pretrained model or the LSUN dataset for the semantic segmentation,many thanks
do you solve this problem ,i have the same error,i would be very grateful for you to tell me how to solve this problem
Unfortunately, the challenge website is down 😢 , am trying to find other resources for that.
Hi guys, please refer to the updated readme for the dataset https://github.com/leVirve/lsun-room#dataset