{"action":"closed","issue":{"url":"https://api.github.com/repos/fangchangma/sparse-to-dense.pytorch/issues/18","repository_url":"https://api.github.com/repos/fangchangma/sparse-to-dense.pytorch","labels_url":"https://api.github.com/repos/fangchangma/sparse-to-dense.pytorch/issues/18/labels{/name}","comments_url":"https://api.github.com/repos/fangchangma/sparse-to-dense.pytorch/issues/18/comments","events_url":"https://api.github.com/repos/fangchangma/sparse-to-dense.pytorch/issues/18/events","html_url":"https://github.com/fangchangma/sparse-to-dense.pytorch/issues/18","id":363620468,"node_id":"MDU6SXNzdWUzNjM2MjA0Njg=","number":18,"title":"Getting benchmark results","user":{"login":"ShreyasSkandan","id":5595336,"node_id":"MDQ6VXNlcjU1OTUzMzY=","avatar_url":"https://avatars1.githubusercontent.com/u/5595336?v=4","gravatar_id":"","url":"https://api.github.com/users/ShreyasSkandan","html_url":"https://github.com/ShreyasSkandan","followers_url":"https://api.github.com/users/ShreyasSkandan/followers","following_url":"https://api.github.com/users/ShreyasSkandan/following{/other_user}","gists_url":"https://api.github.com/users/ShreyasSkandan/gists{/gist_id}","starred_url":"https://api.github.com/users/ShreyasSkandan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ShreyasSkandan/subscriptions","organizations_url":"https://api.github.com/users/ShreyasSkandan/orgs","repos_url":"https://api.github.com/users/ShreyasSkandan/repos","events_url":"https://api.github.com/users/ShreyasSkandan/events{/privacy}","received_events_url":"https://api.github.com/users/ShreyasSkandan/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2018-09-25T14:53:58Z","updated_at":"2018-09-25T22:37:59Z","closed_at":"2018-09-25T22:37:59Z","author_association":"NONE","body":"Hi,\r\n\r\nThank you for publicly releasing this code. I was wondering what parameters to use to arrive at the same/similar results as those in your paper / KITTI depth completion benchmark.\r\n\r\nShould I be using the default parameters?\r\n\r\nBest regards,\r\nShreyas"}}
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