{"action":"created","issue":{"url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw/issues/24","repository_url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw","labels_url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw/issues/24/labels{/name}","comments_url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw/issues/24/comments","events_url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw/issues/24/events","html_url":"https://github.com/phil-bergmann/tracking_wo_bnw/issues/24","id":518549369,"node_id":"MDU6SXNzdWU1MTg1NDkzNjk=","number":24,"title":"I cannot download the zip file from google drive","user":{"login":"Helicopt","id":8593583,"node_id":"MDQ6VXNlcjg1OTM1ODM=","avatar_url":"https://avatars0.githubusercontent.com/u/8593583?v=4","gravatar_id":"","url":"https://api.github.com/users/Helicopt","html_url":"https://github.com/Helicopt","followers_url":"https://api.github.com/users/Helicopt/followers","following_url":"https://api.github.com/users/Helicopt/following{/other_user}","gists_url":"https://api.github.com/users/Helicopt/gists{/gist_id}","starred_url":"https://api.github.com/users/Helicopt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Helicopt/subscriptions","organizations_url":"https://api.github.com/users/Helicopt/orgs","repos_url":"https://api.github.com/users/Helicopt/repos","events_url":"https://api.github.com/users/Helicopt/events{/privacy}","received_events_url":"https://api.github.com/users/Helicopt/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":7,"created_at":"2019-11-06T15:34:11Z","updated_at":"2019-11-18T14:04:07Z","closed_at":null,"author_association":"NONE","body":"I cannot download the zip file from google drive\r\n\r\n\r\nevery time i try to download it , it stucked at 20 MB and then failed as 'Network error'.\r\n\r\n\r\nCan you check it or provide another link?\r\n\r\nBy the way, do you think it is fair to use a more powerful detector, like some private detector in MOT16 private to make tracktors in MOT17 better? Then it seems that it is very easy to improve MOT17 performance to 60% MOTA via your method because many MOT16 private detectors can boost trackers to 70% MOTA. Why you choose FPN & FRCNN but not such private one? If you use such private detector to refine your tracktor, can you get better MOTA ?"},"comment":{"url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw/issues/comments/555028499","html_url":"https://github.com/phil-bergmann/tracking_wo_bnw/issues/24#issuecomment-555028499","issue_url":"https://api.github.com/repos/phil-bergmann/tracking_wo_bnw/issues/24","id":555028499,"node_id":"MDEyOklzc3VlQ29tbWVudDU1NTAyODQ5OQ==","user":{"login":"Helicopt","id":8593583,"node_id":"MDQ6VXNlcjg1OTM1ODM=","avatar_url":"https://avatars0.githubusercontent.com/u/8593583?v=4","gravatar_id":"","url":"https://api.github.com/users/Helicopt","html_url":"https://github.com/Helicopt","followers_url":"https://api.github.com/users/Helicopt/followers","following_url":"https://api.github.com/users/Helicopt/following{/other_user}","gists_url":"https://api.github.com/users/Helicopt/gists{/gist_id}","starred_url":"https://api.github.com/users/Helicopt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Helicopt/subscriptions","organizations_url":"https://api.github.com/users/Helicopt/orgs","repos_url":"https://api.github.com/users/Helicopt/repos","events_url":"https://api.github.com/users/Helicopt/events{/privacy}","received_events_url":"https://api.github.com/users/Helicopt/received_events","type":"User","site_admin":false},"created_at":"2019-11-18T14:04:07Z","updated_at":"2019-11-18T14:04:07Z","author_association":"NONE","body":"That sounds right about the computational cost. However, the problem is still there. If the first-pass detector( detection input) is identical with the second-pass(regress ), how much will the improvement be. This concern is based on your SDP result. And your FRCNN is not identical with the public FRCNN, they are not the same model, right? So I wonder IF you use the same FRCNN, as both detection input and regressor, will it improves? Maybe in the supplementary the improvement is from your better FRCNN(better than the public one).  And it seems that if they are same, or the first-pass ( detection input) is better,  then the second-pass (regressor or Tracktor) cannot make the result better."}}
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