{"action":"opened","issue":{"url":"https://api.github.com/repos/anibali/dsntnn/issues/4","repository_url":"https://api.github.com/repos/anibali/dsntnn","labels_url":"https://api.github.com/repos/anibali/dsntnn/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/anibali/dsntnn/issues/4/comments","events_url":"https://api.github.com/repos/anibali/dsntnn/issues/4/events","html_url":"https://github.com/anibali/dsntnn/issues/4","id":393580502,"node_id":"MDU6SXNzdWUzOTM1ODA1MDI=","number":4,"title":"Question re. occluded or missing points in training data","user":{"login":"seanbow","id":3520692,"node_id":"MDQ6VXNlcjM1MjA2OTI=","avatar_url":"https://avatars2.githubusercontent.com/u/3520692?v=4","gravatar_id":"","url":"https://api.github.com/users/seanbow","html_url":"https://github.com/seanbow","followers_url":"https://api.github.com/users/seanbow/followers","following_url":"https://api.github.com/users/seanbow/following{/other_user}","gists_url":"https://api.github.com/users/seanbow/gists{/gist_id}","starred_url":"https://api.github.com/users/seanbow/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/seanbow/subscriptions","organizations_url":"https://api.github.com/users/seanbow/orgs","repos_url":"https://api.github.com/users/seanbow/repos","events_url":"https://api.github.com/users/seanbow/events{/privacy}","received_events_url":"https://api.github.com/users/seanbow/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-21T20:21:33Z","updated_at":"2018-12-21T20:21:33Z","closed_at":null,"author_association":"NONE","body":"When training a model that outputs a heatmap, training data with missing or occluded points are easily handled by setting the target output to be a heatmap of all zeros. With the DSNT layer, how can this be handled? An all-zero heatmap corresponds corresponds to target coordinates of [0,0] here, but so does a point very well localized in the center of the image. "}}
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