RuntimeError: Failed downloading url https://hangzh.s3.amazonaws.com/encoding/models/resnet50-ebb6acbb.zip

[biter0088]

I can't get access to https://hangzh.s3.amazonaws.com/encoding/models/resnet50-ebb6acbb.zip
so I can't download the model。
I need the file of all of the model，so who can help me？

When I click the link “https://hangzh.s3.amazonaws.com/encoding/models/resnet50-ebb6acbb.zip”，I will be access denied ：
<Error> <Code>AccessDenied</Code> <Message>Access Denied</Message> <RequestId>7KGQHJCVR8NAZKPP</RequestId> <HostId> 91ML/lrVgnBYG1JrsGBhqWXV63nOXSYwnwnvVjWgvfr7dctqyLV3f5C/qT51wRSXdLJRvsk2/lE= </HostId> </Error>

my error：
(yolov5py37) meng@meng:~/deeplearning/FastFCN$ CUDA_VISIBLE_DEVICES=0,1,2,3 python -m experiments.segmentation.test_single_image --dataset pcontext --model encnet --jpu JPU --backbone resnet50 --resume MODEL --input-path INPUT --save-path OUTPUT
Namespace(aux=False, aux_weight=0.2, backbone='resnet50', base_size=520, batch_size=16, checkname='default', crop_size=480, cuda=True, dataset='pcontext', dilated=False, epochs=80, ft=False, input_path='INPUT', jpu='JPU', lateral=False, lr=0.001, lr_scheduler='poly', mode='testval', model='encnet', model_zoo=None, momentum=0.9, ms=False, no_cuda=False, no_val=False, resume='MODEL', save_folder='experiments/segmentation/results', save_path='OUTPUT', se_loss=False, se_weight=0.2, seed=1, split='val', start_epoch=0, test_batch_size=16, train_split='train', weight_decay=0.0001, workers=16)
Model file /home/meng/.encoding/models/resnet50-ebb6acbb.pth is not found. Downloading.
Downloading /home/meng/.encoding/models/resnet50-ebb6acbb.zip from https://hangzh.s3.amazonaws.com/encoding/models/resnet50-ebb6acbb.zip...
Traceback (most recent call last):
File "/home/meng/anaconda3/envs/yolov5py37/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/meng/anaconda3/envs/yolov5py37/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/meng/deeplearning/FastFCN/experiments/segmentation/test_single_image.py", line 71, in
test(args)
File "/home/meng/deeplearning/FastFCN/experiments/segmentation/test_single_image.py", line 36, in test
base_size = args.base_size, crop_size = args.crop_size)
File "/home/meng/deeplearning/FastFCN/encoding/models/init.py", line 18, in get_segmentation_model
return modelsname.lower()
File "/home/meng/deeplearning/FastFCN/encoding/models/encnet.py", line 146, in get_encnet
model = EncNet(datasets[dataset.lower()].NUM_CLASS, backbone=backbone, root=root, **kwargs)
File "/home/meng/deeplearning/FastFCN/encoding/models/encnet.py", line 24, in init
norm_layer=norm_layer, **kwargs)
File "/home/meng/deeplearning/FastFCN/encoding/models/base.py", line 39, in init
norm_layer=norm_layer, root=root)
File "/home/meng/deeplearning/FastFCN/encoding/dilated/resnet.py", line 263, in resnet50
get_model_file('resnet50', root=root)), strict=False)
File "/home/meng/deeplearning/FastFCN/encoding/models/model_store.py", line 74, in get_model_file
overwrite=True)
File "/home/meng/deeplearning/FastFCN/encoding/utils/files.py", line 60, in download
raise RuntimeError("Failed downloading url %s"%url)
RuntimeError: Failed downloading url https://hangzh.s3.amazonaws.com/encoding/models/resnet50-ebb6acbb.zip

[Churan-Zhou]

I have the same question. Do you solve it?

[wuhuikai]

Here is the link.

[biter0088]

Here is the link.

thanks