{"action":"opened","issue":{"url":"https://api.github.com/repos/holgerroth/3Dunet_abdomen_cascade/issues/5","repository_url":"https://api.github.com/repos/holgerroth/3Dunet_abdomen_cascade","labels_url":"https://api.github.com/repos/holgerroth/3Dunet_abdomen_cascade/issues/5/labels{/name}","comments_url":"https://api.github.com/repos/holgerroth/3Dunet_abdomen_cascade/issues/5/comments","events_url":"https://api.github.com/repos/holgerroth/3Dunet_abdomen_cascade/issues/5/events","html_url":"https://github.com/holgerroth/3Dunet_abdomen_cascade/issues/5","id":336678637,"node_id":"MDU6SXNzdWUzMzY2Nzg2Mzc=","number":5,"title":"blob size exceeds INT_MAX: did you have had this error?","user":{"login":"sara-eb","id":24641528,"node_id":"MDQ6VXNlcjI0NjQxNTI4","avatar_url":"https://avatars1.githubusercontent.com/u/24641528?v=4","gravatar_id":"","url":"https://api.github.com/users/sara-eb","html_url":"https://github.com/sara-eb","followers_url":"https://api.github.com/users/sara-eb/followers","following_url":"https://api.github.com/users/sara-eb/following{/other_user}","gists_url":"https://api.github.com/users/sara-eb/gists{/gist_id}","starred_url":"https://api.github.com/users/sara-eb/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sara-eb/subscriptions","organizations_url":"https://api.github.com/users/sara-eb/orgs","repos_url":"https://api.github.com/users/sara-eb/repos","events_url":"https://api.github.com/users/sara-eb/events{/privacy}","received_events_url":"https://api.github.com/users/sara-eb/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-06-28T15:48:25Z","updated_at":"2018-06-28T15:48:25Z","closed_at":null,"author_association":"NONE","body":"Hi, I tried to run the code in 3D-Unet with your pretrained model. \r\nI am asking this question \r\n\r\n```\r\nI0625 14:51:07.611187 11147 net.cpp:400] conv_d0b-c -> d0c\r\nF0625 14:51:07.612490 11147 blob.cpp:33] Check failed: shape[i] <= 0x7fffffff / count_ (385 vs. 89) blob size exceeds INT_MAX\r\n*** Check failure stack trace: ***\r\n    @     0x7f483a8105cd  google::LogMessage::Fail()\r\n    @     0x7f483a812433  google::LogMessage::SendToLog()\r\n    @     0x7f483a81015b  google::LogMessage::Flush()\r\n    @     0x7f483a812e1e  google::LogMessageFatal::~LogMessageFatal()\r\n    @     0x7f483aed0e60  caffe::Blob<>::Reshape()\r\n    @     0x7f483afbe205  caffe::BaseConvolutionLayer<>::Reshape()\r\n    @     0x7f483aebe48f  caffe::Net<>::Init()\r\n    @     0x7f483aebfd11  caffe::Net<>::Net()\r\n    @     0x7f483ae2014a  caffe::Solver<>::InitTrainNet()\r\n    @     0x7f483ae214b7  caffe::Solver<>::Init()\r\n    @     0x7f483ae2185a  caffe::Solver<>::Solver()\r\n    @     0x7f483ae35823  caffe::Creator_SGDSolver<>()\r\n    @           0x40a6d8  train()\r\n    @           0x4075a8  main\r\n    @     0x7f48392c4830  __libc_start_main\r\n    @           0x407d19  _start\r\n    @              (nil)  (unknown)\r\nAborted (core dumped)\r\n```\r\nDid you face with this error? I tried to apply your pre-trained model on my data. If yes, could you please guide me? I have installed 3d-Unet patch on caffe. Then I tried to install opencl-caffe that I was not successful. Thanks"}}
{"actor":{"display_login":"sara-eb"}}