{"action":"closed","issue":{"url":"https://api.github.com/repos/CSAILVision/places365/issues/38","repository_url":"https://api.github.com/repos/CSAILVision/places365","labels_url":"https://api.github.com/repos/CSAILVision/places365/issues/38/labels{/name}","comments_url":"https://api.github.com/repos/CSAILVision/places365/issues/38/comments","events_url":"https://api.github.com/repos/CSAILVision/places365/issues/38/events","html_url":"https://github.com/CSAILVision/places365/issues/38","id":270295551,"number":38,"title":"error when untar the pytorch model downloaded from DenseNet161.","user":{"login":"frankhyj","id":33285236,"avatar_url":"https://avatars3.githubusercontent.com/u/33285236?v=4","gravatar_id":"","url":"https://api.github.com/users/frankhyj","html_url":"https://github.com/frankhyj","followers_url":"https://api.github.com/users/frankhyj/followers","following_url":"https://api.github.com/users/frankhyj/following{/other_user}","gists_url":"https://api.github.com/users/frankhyj/gists{/gist_id}","starred_url":"https://api.github.com/users/frankhyj/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/frankhyj/subscriptions","organizations_url":"https://api.github.com/users/frankhyj/orgs","repos_url":"https://api.github.com/users/frankhyj/repos","events_url":"https://api.github.com/users/frankhyj/events{/privacy}","received_events_url":"https://api.github.com/users/frankhyj/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2017-11-01T12:38:35Z","updated_at":"2017-11-06T02:10:45Z","closed_at":"2017-11-06T02:10:44Z","author_association":"NONE","body":"Excuse me,when i download tar from website, the downloaded file can not be untar. How can i fix this problem? Thanks!\r\n\r\nThe models are downloaded from websites below.\r\n\r\nPyTorch Places365 models: AlexNet, ResNet18, ResNet50, DenseNet161. The models are trained in Python2.7+PyTorch 0.2, when the models are being loaded in python3, you might encounter UnicodeDecodeError, see this issue. Run basic code to get the scene prediction from PlacesCNN:"}}
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