{"action":"closed","issue":{"url":"https://api.github.com/repos/AbnerHqC/GaitSet/issues/3","repository_url":"https://api.github.com/repos/AbnerHqC/GaitSet","labels_url":"https://api.github.com/repos/AbnerHqC/GaitSet/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/AbnerHqC/GaitSet/issues/3/comments","events_url":"https://api.github.com/repos/AbnerHqC/GaitSet/issues/3/events","html_url":"https://github.com/AbnerHqC/GaitSet/issues/3","id":385127811,"node_id":"MDU6SXNzdWUzODUxMjc4MTE=","number":3,"title":"What exactly the dataset looks like when running test.py?","user":{"login":"tenggyut","id":2890204,"node_id":"MDQ6VXNlcjI4OTAyMDQ=","avatar_url":"https://avatars0.githubusercontent.com/u/2890204?v=4","gravatar_id":"","url":"https://api.github.com/users/tenggyut","html_url":"https://github.com/tenggyut","followers_url":"https://api.github.com/users/tenggyut/followers","following_url":"https://api.github.com/users/tenggyut/following{/other_user}","gists_url":"https://api.github.com/users/tenggyut/gists{/gist_id}","starred_url":"https://api.github.com/users/tenggyut/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tenggyut/subscriptions","organizations_url":"https://api.github.com/users/tenggyut/orgs","repos_url":"https://api.github.com/users/tenggyut/repos","events_url":"https://api.github.com/users/tenggyut/events{/privacy}","received_events_url":"https://api.github.com/users/tenggyut/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":6,"created_at":"2018-11-28T06:57:33Z","updated_at":"2018-11-29T01:51:07Z","closed_at":"2018-11-29T01:51:07Z","author_association":"NONE","body":"```\r\ndef __loader__(self, path):\r\n        file_path = osp.join(path, os.listdir(path)[0])\r\n        seq = pickle.load(open(file_path, 'rb'))\r\n        data_type = seq.attrs['data_type']\r\n        data_name = seq.name\r\n        if data_name in self.selector:\r\n            seq = seq.loc.__getitem__(tuple(self.selector[data_name]))\r\n        if data_type == 'img':\r\n            seq = seq.astype('float32')\r\n            seq /= 255.0\r\n            seq = seq[:, :, 10:54]\r\n        return seq\r\n```\r\nin `data_set.py`,  what the pickle tries to load, not a image?"}}
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