Hello, I’m using vr mode to calculate the stereo output from Disco diffusion, but because I have a working machine without internet connection, it gives me an error with loading the library from gitbub.
(basemodel = torch.hub.load(‘rwightman/gen-efficientnet-pytorch’, basemodel_name, pretrained=True)
Could someone please help me to fix this so that I can load the library/models locally from disk? I’ve been struggling with this for a few days and I’m not a python programmer. Thank you very much for your help. I am sending the log below.
Running **AdaBins** depth estimation implementation...
Traceback (most recent call last):
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1282, in request
self._send_request(method, url, body, headers, encode_chunked)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1328, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1277, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1037, in _send_output
self.send(msg)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 975, in send
self.connect()
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1447, in connect
super().connect()
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 941, in connect
self.sock = self._create_connection(
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\socket.py", line 845, in create_connection
raise err
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\socket.py", line 833, in create_connection
sock.connect(sa)
TimeoutError: [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\Text To Image\CLIP Guided Diffusion\disco_diffusion_v5_1.py", line 2587, in <module>
do_run()
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\Text To Image\CLIP Guided Diffusion\disco_diffusion_v5_1.py", line 1415, in do_run
generate_eye_views(trans_scale, batchFolder, filename, frame_num, midas_model, midas_transform)
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\Text To Image\CLIP Guided Diffusion\disco_diffusion_v5_1.py", line 1457, in generate_eye_views
transformed_image = dxf.transform_image_3d(f'{batchFolder}/{filename}', midas_model, midas_transform, DEVICE,
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\venv\voc_base\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\Text To Image\CLIP Guided Diffusion\disco_xform_utils.py", line 34, in transform_image_3d
infer_helper = InferenceHelper(dataset='nyu')
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\Text To Image\CLIP Guided Diffusion\./AdaBins\infer.py", line 74, in __init__
model = UnetAdaptiveBins.build(n_bins=256, min_val=self.min_depth, max_val=self.max_depth)
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\Text To Image\CLIP Guided Diffusion\./AdaBins\models\unet_adaptive_bins.py", line 126, in build
basemodel = **torch.hub.load('rwightman/gen-efficientnet-pytorch', basemodel_name, pretrained=True)**
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\venv\voc_base\lib\site-packages\torch\hub.py", line 539, in load
repo_or_dir = _get_cache_or_reload(repo_or_dir, force_reload, trust_repo, "load",
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\venv\voc_base\lib\site-packages\torch\hub.py", line 180, in _get_cache_or_reload
repo_owner, repo_name, ref = _parse_repo_info(github)
File "c:\Users\tomas.krejzek\AppData\Roaming\Visions of Chaos\Examples\MachineLearning\venv\voc_base\lib\site-packages\torch\hub.py", line 134, in _parse_repo_info
with urlopen(f"https://github.com/{repo_owner}/{repo_name}/tree/main/"):
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 519, in open
response = self._open(req, data)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 496, in _call_chain
result = func(*args)
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "C:\Users\tomas.krejzek\AppData\Local\Programs\Python\Python310\lib\urllib\request.py", line 1351, in do_open
raise URLError(err)
urllib.error.URLError: <urlopen error [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond>