{"action":"created","issue":{"url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/635","repository_url":"https://api.github.com/repos/matterport/Mask_RCNN","labels_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/635/labels{/name}","comments_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/635/comments","events_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/635/events","html_url":"https://github.com/matterport/Mask_RCNN/issues/635","id":328851469,"node_id":"MDU6SXNzdWUzMjg4NTE0Njk=","number":635,"title":"Increasing Output Mask Resolution","user":{"login":"patrickcgray","id":2497349,"node_id":"MDQ6VXNlcjI0OTczNDk=","avatar_url":"https://avatars0.githubusercontent.com/u/2497349?v=4","gravatar_id":"","url":"https://api.github.com/users/patrickcgray","html_url":"https://github.com/patrickcgray","followers_url":"https://api.github.com/users/patrickcgray/followers","following_url":"https://api.github.com/users/patrickcgray/following{/other_user}","gists_url":"https://api.github.com/users/patrickcgray/gists{/gist_id}","starred_url":"https://api.github.com/users/patrickcgray/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/patrickcgray/subscriptions","organizations_url":"https://api.github.com/users/patrickcgray/orgs","repos_url":"https://api.github.com/users/patrickcgray/repos","events_url":"https://api.github.com/users/patrickcgray/events{/privacy}","received_events_url":"https://api.github.com/users/patrickcgray/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":12,"created_at":"2018-06-03T18:39:04Z","updated_at":"2018-07-04T20:47:05Z","closed_at":null,"author_association":"NONE","body":"My masks continue to come out as relatively blocky and not dealing well with curves and points. For example the attached whale outline. I've turned off mini masks so I'm no longer downsampling those masks in training but does anyone have advice for increasing the output resolution of masks?\r\n\r\nThere is this line in config.py:\r\n`MASK_SHAPE = [28, 28]`\r\nWhich I assume is part of the solution but I'm not sure what else I'll need to change to accomodate for a larger mask size because it says \"To change this mask size you also need to change the neural network mask branch.\"\r\n\r\nAny tips on what I need to alter to get this to put out a much higher resolution mask?\r\n\r\n\r\n<img width=\"418\" alt=\"screen shot 2018-06-03 at 2 34 07 pm\" src=\"https://user-images.githubusercontent.com/2497349/40889833-33f7d16c-673b-11e8-99da-32f95f3671db.png\">\r\n"},"comment":{"url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/comments/402556994","html_url":"https://github.com/matterport/Mask_RCNN/issues/635#issuecomment-402556994","issue_url":"https://api.github.com/repos/matterport/Mask_RCNN/issues/635","id":402556994,"node_id":"MDEyOklzc3VlQ29tbWVudDQwMjU1Njk5NA==","user":{"login":"samhodge","id":86946,"node_id":"MDQ6VXNlcjg2OTQ2","avatar_url":"https://avatars0.githubusercontent.com/u/86946?v=4","gravatar_id":"","url":"https://api.github.com/users/samhodge","html_url":"https://github.com/samhodge","followers_url":"https://api.github.com/users/samhodge/followers","following_url":"https://api.github.com/users/samhodge/following{/other_user}","gists_url":"https://api.github.com/users/samhodge/gists{/gist_id}","starred_url":"https://api.github.com/users/samhodge/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/samhodge/subscriptions","organizations_url":"https://api.github.com/users/samhodge/orgs","repos_url":"https://api.github.com/users/samhodge/repos","events_url":"https://api.github.com/users/samhodge/events{/privacy}","received_events_url":"https://api.github.com/users/samhodge/received_events","type":"User","site_admin":false},"created_at":"2018-07-04T20:47:05Z","updated_at":"2018-07-04T20:47:05Z","author_association":"NONE","body":"Yes I am training on the full COCO dataset and it fails on the 121st epoch when it “fine tunes the entire network “ with a lower learning rate for the final 40 epochs."}}
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