yuanming-hu / exposure

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
MIT License
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please help me...... #27

Closed lurchycc closed 6 years ago

lurchycc commented 6 years ago

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

yuanming-hu commented 6 years ago

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

yuanming-hu commented 6 years ago

Could you try the latest commit?

lurchycc commented 6 years ago

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。>

lurchycc commented 6 years ago

然后就是刚才那种情况了,我在Linux上试试吧,thank you.

yuanming-hu commented 6 years ago

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.