{"action":"opened","issue":{"url":"https://api.github.com/repos/AutoNUE/public-code/issues/1","repository_url":"https://api.github.com/repos/AutoNUE/public-code","labels_url":"https://api.github.com/repos/AutoNUE/public-code/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/AutoNUE/public-code/issues/1/comments","events_url":"https://api.github.com/repos/AutoNUE/public-code/issues/1/events","html_url":"https://github.com/AutoNUE/public-code/issues/1","id":348181469,"node_id":"MDU6SXNzdWUzNDgxODE0Njk=","number":1,"title":"Help understanding evaluation script.","user":{"login":"kirnh","id":17755413,"node_id":"MDQ6VXNlcjE3NzU1NDEz","avatar_url":"https://avatars0.githubusercontent.com/u/17755413?v=4","gravatar_id":"","url":"https://api.github.com/users/kirnh","html_url":"https://github.com/kirnh","followers_url":"https://api.github.com/users/kirnh/followers","following_url":"https://api.github.com/users/kirnh/following{/other_user}","gists_url":"https://api.github.com/users/kirnh/gists{/gist_id}","starred_url":"https://api.github.com/users/kirnh/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kirnh/subscriptions","organizations_url":"https://api.github.com/users/kirnh/orgs","repos_url":"https://api.github.com/users/kirnh/repos","events_url":"https://api.github.com/users/kirnh/events{/privacy}","received_events_url":"https://api.github.com/users/kirnh/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-07T06:15:57Z","updated_at":"2018-08-07T06:15:57Z","closed_at":null,"author_association":"NONE","body":"I am working on evaluating my instance segmentation output on the given dataset. I don't seem to understand the format of the output required by the provided script. \r\n\r\nSpecifically the below part of the evaluate_instance_segmentation.py script:\r\n```\r\n# To run this script, make sure that your results contain text files\r\n# (one for each test set image) with the content:\r\n#   relPathPrediction1 labelIDPrediction1 confidencePrediction1\r\n#   relPathPrediction2 labelIDPrediction2 confidencePrediction2\r\n#   relPathPrediction3 labelIDPrediction3 confidencePrediction3\r\n#   ... \r\n```\r\nWhat does the LabelIDPrediction be? Is it the class ID? Or is it the encoded ID obtained similar to using ID_TYPE=id in createLabels.py? One more concern is the relPathPrediction in the above text format. It says that the path should be relative to the root directory. I need help understanding what root directory is being referred to, since I could not find the default variable."}}
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