yuanming-hu / exposure

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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please help me......

lurchycc opened this issue · comments

D:\exposure-master\exposure-master>python train.py example test
Scripts are backed up. Initializing network...
Traceback (most recent call last):
File "train.py", line 18, in
main()
File "train.py", line 13, in main
net = GAN(cfg, restore=False)
File "D:\exposure-master\exposure-master\net.py", line 44, in init
self.memory = ReplayMemory(cfg, load=not restore)
File "D:\exposure-master\exposure-master\replay_memory.py", line 12, in init
self.real_dataset = cfg.real_data_provider()
File "D:\exposure-master\exposure-master\config_example.py", line 198, in
set_name='2k_target')
File "D:\exposure-master\exposure-master\artist.py", line 46, in init
idx = list(map(int, idx))
ValueError: invalid literal for int() with base 10: '# Note: this list is 1-based, i.e. ids are among [1, 5000]\n'
D:\Anaconda3\envs\tensorflow\lib\site-packages\h5py_init_.py:34: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters

I think a quick solution is to run it on Linux...I have never tested the code on Windows.

Could you try the latest commit?

File 3/3

Traceback (most recent call last):

File "", line 1, in
runfile('D:/exposure-master/exposure-master/fetch_fivek.py', wdir='D:/exposure-master/exposure-master')

File "D:\Anaconda3\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile
execfile(filename, namespace)

File "D:\Anaconda3\envs\tensorflow\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "D:/exposure-master/exposure-master/fetch_fivek.py", line 55, in
download(fn_template.format('meta_raw.pkl'), path='data/fivek_dataset/sup_batched80aug_daylight')

File "D:/exposure-master/exposure-master/fetch_fivek.py", line 16, in download
u = urllib.request.urlopen(url)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 223, in urlopen
return opener.open(url, data, timeout)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 532, in open
response = meth(req, response)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 564, in error
result = self._call_chain(*args)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 504, in _call_chain
result = func(*args)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 756, in http_error_302
return self.parent.open(new, timeout=req.timeout)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 526, in open
response = self._open(req, data)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 544, in _open
'_open', req)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 504, in _call_chain
result = func(*args)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 1361, in https_open
context=self._context, check_hostname=self._check_hostname)

File "D:\Anaconda3\envs\tensorflow\lib\urllib\request.py", line 1320, in do_open
raise URLError(err)

URLError: <urlopen error [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应,连接尝试失败。>

然后就是刚才那种情况了,我在Linux上试试吧,thank you.

OK. please first try it on Linux since recently I probably have not much time for Windows support. Come back if you run into any other issues. Thanks.