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mit-han-lab / data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
https://arxiv.org/abs/2006.10738
BSD 2-Clause "Simplified" License
1.27k stars 175 forks source link

how to deal with 'check_hostname requires server_hostname' #98

Closed tdf1995 closed 2 years ago

tdf1995 commented 2 years ago

Evaluating metrics... Traceback (most recent call last): File "D:/work/workspace/data-efficient-gans-master/data-efficient-gans-master/DiffAugment-stylegan2-pytorch/train.py", line 554, in main() # pylint: disable=no-value-for-parameter File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\click\core.py", line 1130, in call return self.main(args, kwargs) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\click\core.py", line 1055, in main rv = self.invoke(ctx) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\click\core.py", line 1404, in invoke return ctx.invoke(self.callback, ctx.params) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\click\core.py", line 760, in invoke return __callback(args, *kwargs) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\click\decorators.py", line 26, in new_func return f(get_current_context(), args, kwargs) File "D:/work/workspace/data-efficient-gans-master/data-efficient-gans-master/DiffAugment-stylegan2-pytorch/train.py", line 547, in main subprocess_fn(rank=0, args=args, temp_dir=temp_dir) File "D:/work/workspace/data-efficient-gans-master/data-efficient-gans-master/DiffAugment-stylegan2-pytorch/train.py", line 398, in subprocess_fn training_loop.training_loop(rank=rank, args) File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\training\training_loop.py", line 375, in training_loop dataset_kwargs=training_set_kwargs, num_gpus=num_gpus, rank=rank, device=device) File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\metrics\metric_main.py", line 45, in calc_metric results = _metric_dictmetric File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\metrics\metric_main.py", line 85, in fid50k_full fid = frechet_inception_distance.compute_fid(opts, max_real=None, num_gen=50000) File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\metrics\frechet_inception_distance.py", line 27, in compute_fid rel_lo=0, rel_hi=0, capture_mean_cov=True, max_items=max_real).get_mean_cov() File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\metrics\metric_utils.py", line 211, in compute_feature_stats_for_dataset detector = get_feature_detector(url=detector_url, device=opts.device, num_gpus=opts.num_gpus, rank=opts.rank, verbose=progress.verbose) File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\metrics\metric_utils.py", line 47, in get_feature_detector with dnnlib.util.open_url(url, verbose=(verbose and is_leader)) as f: File "D:\work\workspace\data-efficient-gans-master\data-efficient-gans-master\DiffAugment-stylegan2-pytorch\dnnlib\util.py", line 433, in open_url with session.get(url) as res: File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\requests\sessions.py", line 555, in get return self.request('GET', url, kwargs) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\requests\sessions.py", line 542, in request resp = self.send(prep, send_kwargs) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\requests\sessions.py", line 655, in send r = adapter.send(request, **kwargs) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\requests\adapters.py", line 449, in send timeout=timeout File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\urllib3\connectionpool.py", line 696, in urlopen self._prepare_proxy(conn) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\urllib3\connectionpool.py", line 964, in _prepare_proxy conn.connect() File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\urllib3\connection.py", line 359, in connect conn = self._connect_tls_proxy(hostname, conn) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\urllib3\connection.py", line 506, in _connect_tls_proxy ssl_context=sslcontext, File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\urllib3\util\ssl.py", line 453, in ssl_wrap_socket ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_intls) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\site-packages\urllib3\util\ssl.py", line 495, in _ssl_wrap_socket_impl return ssl_context.wrap_socket(sock) File "C:\Users\TDF\Anaconda3\envs\yolox\lib\ssl.py", line 412, in wrap_socket session=session File "C:\Users\TDF\Anaconda3\envs\yolox\lib\ssl.py", line 807, in _create raise ValueError("check_hostname requires server_hostname") ValueError: check_hostname requires server_hostname

Process finished with exit code 1