urllib.error.HTTPError: HTTP Error 403: Forbidden


def load_pretrained_weights(model, model_name, load_fc=True):
    """ Loads pretrained weights, and downloads if loading for the first time. """
    state_dict = model_zoo.load_url(url_map[model_name])

train.py:302: UserWarning: You have chosen to seed training. This will turn on the CUDNN deterministic setting, which can slow down your training considerably! You may see unexpected behavior when restarting from checkpoints.
warnings.warn('You have chosen to seed training. ’
Downloading: “http://storage.googleapis.com/public-models/efficientnet/efficientnet-b0-355c32eb.pth” to /home/jake/.cache/torch/hub/checkpoints/efficientnet-b0-355c32eb.pth
Traceback (most recent call last):
File “train.py”, line 333, in
main()
File “train.py”, line 329, in main
main_worker(args.gpu, ngpus_per_node, args)
File “train.py”, line 232, in main_worker
D_class=EFFICIENTDET[args.network][‘D_class’]
File “/home/jake/Gits/EfficientDet.Pytorch/models/efficientdet.py”, line 33, in init
self.backbone = EfficientNet.from_pretrained(MODEL_MAP[network])
File “/home/jake/Gits/EfficientDet.Pytorch/models/efficientnet.py”, line 243, in from_pretrained
model, model_name, load_fc=(num_classes == 1000))
File “/home/jake/Gits/EfficientDet.Pytorch/models/utils.py”, line 319, in load_pretrained_weights
state_dict = model_zoo.load_url(url_map[model_name])
File “/home/jake/venv/lib/python3.6/site-packages/torch/hub.py”, line 483, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File “/home/jake/venv/lib/python3.6/site-packages/torch/hub.py”, line 381, in download_url_to_file
u = urlopen(req)
File “/usr/lib/python3.6/urllib/request.py”, line 223, in urlopen
return opener.open(url, data, timeout)
File “/usr/lib/python3.6/urllib/request.py”, line 532, in open
response = meth(req, response)
File “/usr/lib/python3.6/urllib/request.py”, line 642, in http_response
‘http’, request, response, code, msg, hdrs)
File “/usr/lib/python3.6/urllib/request.py”, line 570, in error
return self._call_chain(*args)
File “/usr/lib/python3.6/urllib/request.py”, line 504, in _call_chain
result = func(*args)
File “/usr/lib/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 403: Forbidden

Could you post an executable code snippet to reproduce this issue and the repository you are using for the model implementation?

I think it problem when load the url.

url_map = {
    'efficientnet-b0': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b0-355c32eb.pth',
    'efficientnet-b1': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b1-f1951068.pth',
    'efficientnet-b2': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b2-8bb594d6.pth',
    'efficientnet-b3': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b3-5fb5a3c3.pth',
    'efficientnet-b4': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b4-6ed6700e.pth',
    'efficientnet-b5': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b5-b6417697.pth',
    'efficientnet-b6': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b6-c76e70fd.pth',
    'efficientnet-b7': 'http://storage.googleapis.com/public-models/efficientnet/efficientnet-b7-dcc49843.pth',
}


def load_pretrained_weights(model, model_name, load_fc=True):
    """ Loads pretrained weights, and downloads if loading for the first time. """
    state_dict = model_zoo.load_url(url_map[model_name])
    if load_fc:
        model.load_state_dict(state_dict)
    else:
        state_dict.pop('_fc.weight')
        state_dict.pop('_fc.bias')
        res = model.load_state_dict(state_dict, strict=False)
        assert set(res.missing_keys) == set(
            ['_fc.weight', '_fc.bias']), 'issue loading pretrained weights'
    print('Loaded pretrained weights for {}'.format(model_name))