{"action":"opened","issue":{"url":"https://api.github.com/repos/imatge-upc/liverseg-2017-nipsws/issues/5","repository_url":"https://api.github.com/repos/imatge-upc/liverseg-2017-nipsws","labels_url":"https://api.github.com/repos/imatge-upc/liverseg-2017-nipsws/issues/5/labels{/name}","comments_url":"https://api.github.com/repos/imatge-upc/liverseg-2017-nipsws/issues/5/comments","events_url":"https://api.github.com/repos/imatge-upc/liverseg-2017-nipsws/issues/5/events","html_url":"https://github.com/imatge-upc/liverseg-2017-nipsws/issues/5","id":299514775,"number":5,"title":"Question about nonexistent layers in modified VGG16 convnets","user":{"login":"philferriere","id":6441756,"avatar_url":"https://avatars1.githubusercontent.com/u/6441756?v=4","gravatar_id":"","url":"https://api.github.com/users/philferriere","html_url":"https://github.com/philferriere","followers_url":"https://api.github.com/users/philferriere/followers","following_url":"https://api.github.com/users/philferriere/following{/other_user}","gists_url":"https://api.github.com/users/philferriere/gists{/gist_id}","starred_url":"https://api.github.com/users/philferriere/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/philferriere/subscriptions","organizations_url":"https://api.github.com/users/philferriere/orgs","repos_url":"https://api.github.com/users/philferriere/repos","events_url":"https://api.github.com/users/philferriere/events{/privacy}","received_events_url":"https://api.github.com/users/philferriere/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-22T21:28:56Z","updated_at":"2018-02-22T21:28:56Z","closed_at":null,"author_association":"NONE","body":"The liver and lesion segmenters refer to a `conv3d` layer in the `parameter_lr()` function, as shown below:\r\n\r\n``` python\r\n    vars_corresp['seg_lesion/conv3d_1/weights'] = 1\r\n    vars_corresp['seg_lesion/conv3d_1/biases'] = 2\r\n    vars_corresp['seg_lesion/conv3d_2/weights'] = 1\r\n    vars_corresp['seg_lesion/conv3d_2/biases'] = 2\r\n    vars_corresp['seg_lesion/conv3d_3/weights'] = 1\r\n    vars_corresp['seg_lesion/conv3d_3/biases'] = 2\r\n    vars_corresp['seg_lesion/conv3d_4/weights'] = 1\r\n    vars_corresp['seg_lesion/conv3d_4/biases'] = 2\r\n```\r\nand\r\n``` python\r\n    vars_corresp['seg_liver/conv3d_1/weights'] = 1\r\n    vars_corresp['seg_liver/conv3d_1/biases'] = 2\r\n    vars_corresp['seg_liver/conv3d_2/weights'] = 1\r\n    vars_corresp['seg_liver/conv3d_2/biases'] = 2\r\n    vars_corresp['seg_liver/conv3d_3/weights'] = 1\r\n    vars_corresp['seg_liver/conv3d_3/biases'] = 2\r\n    vars_corresp['seg_liver/conv3d_4/weights'] = 1\r\n    vars_corresp['seg_liver/conv3d_4/biases'] = 2\r\n```\r\n\r\nThese layers doen't seem to exist in the network code definitions nor in the checkpoints provided at https://mega.nz/#!1r4XmDaB!9SPxHxMh1eYGzxtJzKN-CTkODibYOxkxjoBY2gWVaFQ.\r\n\r\nIs it safe to assume that this is, perhaps, the remnant of an experiment and that this code can be simply removed?\r\n\r\nAgain, thank you for your great work and taking the time to answer my questions!"}}
{"actor":{"display_login":"philferriere"}}