train dataset is OK?

[sukerlove]

I get http://msvocds.blob.core.windows.net/coco2014/train2014.zip unzip train2014.zip then

suker@suker:~/chainer-fast-neuralstyle$ python train.py -s rio.jpg -d ./train2014 -g 0 /usr/local/lib/python2.7/dist-packages/pkg_resources/init.py:1298: UserWarning: /home/gtx1080/.python-eggs is writable by group/others and vulnerable to attack when used with get_resource_filename. Consider a more secure location (set with .set_extraction_path or the PYTHON_EGG_CACHE environment variable). warnings.warn(msg, UserWarning) num traning images: 82783 82783 iterations, 2 epochs /usr/local/lib/python2.7/dist-packages/chainer-1.14.0-py2.7-linux-x86_64.egg/chainer/cuda.py:87: UserWarning: cuDNN is not enabled. Please reinstall chainer after you install cudnn (see https://github.com/pfnet/chainer#installation). 'cuDNN is not enabled.\n' epoch 0 (epoch 0) batch 0/82783... training loss is...235437792.0 (epoch 0) batch 1/82783... training loss is...329452736.0 (epoch 0) batch 2/82783... training loss is...154218272.0 (epoch 0) batch 3/82783... training loss is...63537960.0 (epoch 0) batch 4/82783... training loss is...58619268.0 (epoch 0) batch 5/82783... training loss is...55183628.0 (epoch 0) batch 6/82783... training loss is...54082024.0

is operate OK? thanks

[nandexsp]

sure!

[sukerlove]

@nandexsp thanks but i train rio_0.model rio_0.state

rio_1.model rio_1.state

rio.model rio.state

I use rio.model, to gen picture, it seems not ok, is any step i'm wrong?