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I created the dataset for training by downloading WIDERFACE images and labels and putting them under 'webface' directory. And I tried training as follows:
$ python train/small/train-small-H-keep12-ignoresmall.py
Downloading: "http://zifuture.com:1000/fs/public_models/mbv3small-09ace125.pth" to /home/tfs/.cache/torch/hub/checkpoints/mbv3small-09ace125.pth
Traceback (most recent call last):
File "train/small/train-small-H-keep12-ignoresmall.py", line 276, in
app = App("webface/train/label.txt", "webface/WIDER_train/images")
File "train/small/train-small-H-keep12-ignoresmall.py", line 166, in init
self.model.init_weights()
File "/nas4/tfs/COVID-19/DBFace/train/small/dbface.py", line 242, in init_weights
self.bb.load_pretrain()
File "/nas4/tfs/COVID-19/DBFace/train/small/dbface.py", line 89, in load_pretrain
checkpoint = model_zoo.load_url(f"{_MODEL_URL_DOMAIN}/{_MODEL_URL_SMALL}")
File "/home/tfs/venv_dbface_nni/lib64/python3.6/site-packages/torch/hub.py", line 481, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File "/home/tfs/venv_dbface_nni/lib64/python3.6/site-packages/torch/hub.py", line 379, in download_url_to_file
u = urlopen(req)
File "/usr/lib64/python3.6/urllib/request.py", line 223, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib64/python3.6/urllib/request.py", line 532, in open
response = meth(req, response)
File "/usr/lib64/python3.6/urllib/request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/lib64/python3.6/urllib/request.py", line 570, in error
return self._call_chain(*args)
File "/usr/lib64/python3.6/urllib/request.py", line 504, in _call_chain
result = func(*args)
File "/usr/lib64/python3.6/urllib/request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 504: Gateway Timeout
Can you please make the model mbv3small-09ace125.pth available at an accessible location, which we can download and make use of during training?
The text was updated successfully, but these errors were encountered:
Hi,
I created the dataset for training by downloading WIDERFACE images and labels and putting them under 'webface' directory. And I tried training as follows:
$ python train/small/train-small-H-keep12-ignoresmall.py
Downloading: "http://zifuture.com:1000/fs/public_models/mbv3small-09ace125.pth" to /home/tfs/.cache/torch/hub/checkpoints/mbv3small-09ace125.pth
Traceback (most recent call last):
File "train/small/train-small-H-keep12-ignoresmall.py", line 276, in
app = App("webface/train/label.txt", "webface/WIDER_train/images")
File "train/small/train-small-H-keep12-ignoresmall.py", line 166, in init
self.model.init_weights()
File "/nas4/tfs/COVID-19/DBFace/train/small/dbface.py", line 242, in init_weights
self.bb.load_pretrain()
File "/nas4/tfs/COVID-19/DBFace/train/small/dbface.py", line 89, in load_pretrain
checkpoint = model_zoo.load_url(f"{_MODEL_URL_DOMAIN}/{_MODEL_URL_SMALL}")
File "/home/tfs/venv_dbface_nni/lib64/python3.6/site-packages/torch/hub.py", line 481, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File "/home/tfs/venv_dbface_nni/lib64/python3.6/site-packages/torch/hub.py", line 379, in download_url_to_file
u = urlopen(req)
File "/usr/lib64/python3.6/urllib/request.py", line 223, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib64/python3.6/urllib/request.py", line 532, in open
response = meth(req, response)
File "/usr/lib64/python3.6/urllib/request.py", line 642, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/lib64/python3.6/urllib/request.py", line 570, in error
return self._call_chain(*args)
File "/usr/lib64/python3.6/urllib/request.py", line 504, in _call_chain
result = func(*args)
File "/usr/lib64/python3.6/urllib/request.py", line 650, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 504: Gateway Timeout
Can you please make the model mbv3small-09ace125.pth available at an accessible location, which we can download and make use of during training?
The text was updated successfully, but these errors were encountered: