{"action":"created","issue":{"url":"https://api.github.com/repos/MSiam/TFSegmentation/issues/20","repository_url":"https://api.github.com/repos/MSiam/TFSegmentation","labels_url":"https://api.github.com/repos/MSiam/TFSegmentation/issues/20/labels{/name}","comments_url":"https://api.github.com/repos/MSiam/TFSegmentation/issues/20/comments","events_url":"https://api.github.com/repos/MSiam/TFSegmentation/issues/20/events","html_url":"https://github.com/MSiam/TFSegmentation/issues/20","id":323847572,"node_id":"MDU6SXNzdWUzMjM4NDc1NzI=","number":20,"title":"Question about the inference speed for using the model in real-time","user":{"login":"msson","id":35793913,"node_id":"MDQ6VXNlcjM1NzkzOTEz","avatar_url":"https://avatars1.githubusercontent.com/u/35793913?v=4","gravatar_id":"","url":"https://api.github.com/users/msson","html_url":"https://github.com/msson","followers_url":"https://api.github.com/users/msson/followers","following_url":"https://api.github.com/users/msson/following{/other_user}","gists_url":"https://api.github.com/users/msson/gists{/gist_id}","starred_url":"https://api.github.com/users/msson/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/msson/subscriptions","organizations_url":"https://api.github.com/users/msson/orgs","repos_url":"https://api.github.com/users/msson/repos","events_url":"https://api.github.com/users/msson/events{/privacy}","received_events_url":"https://api.github.com/users/msson/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":11,"created_at":"2018-05-17T02:10:01Z","updated_at":"2018-06-10T03:41:01Z","closed_at":"2018-06-07T08:48:40Z","author_association":"NONE","body":"Hello,\r\n\r\nI am trying to test models which are skipnet-mobilenet and shuffleseg with my own dataset (1024x768 resolution)\r\n\r\nI've seen in the paper that those models' can be used in real-time situation cause the inference speed is faster than 10fps on PC.\r\n\r\nHowever, when I run your code for inference with my own data, the speed is about 1.5fps and both models speed are similar even though you mentioned shuffeseg is faster than skipnet-mobilenet here. \r\n\r\nPlease give me any advice for using the model in real-time.\r\n\r\nThank you."},"comment":{"url":"https://api.github.com/repos/MSiam/TFSegmentation/issues/comments/396017610","html_url":"https://github.com/MSiam/TFSegmentation/issues/20#issuecomment-396017610","issue_url":"https://api.github.com/repos/MSiam/TFSegmentation/issues/20","id":396017610,"node_id":"MDEyOklzc3VlQ29tbWVudDM5NjAxNzYxMA==","user":{"login":"zeroAska","id":6754647,"node_id":"MDQ6VXNlcjY3NTQ2NDc=","avatar_url":"https://avatars0.githubusercontent.com/u/6754647?v=4","gravatar_id":"","url":"https://api.github.com/users/zeroAska","html_url":"https://github.com/zeroAska","followers_url":"https://api.github.com/users/zeroAska/followers","following_url":"https://api.github.com/users/zeroAska/following{/other_user}","gists_url":"https://api.github.com/users/zeroAska/gists{/gist_id}","starred_url":"https://api.github.com/users/zeroAska/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zeroAska/subscriptions","organizations_url":"https://api.github.com/users/zeroAska/orgs","repos_url":"https://api.github.com/users/zeroAska/repos","events_url":"https://api.github.com/users/zeroAska/events{/privacy}","received_events_url":"https://api.github.com/users/zeroAska/received_events","type":"User","site_admin":false},"created_at":"2018-06-10T03:41:01Z","updated_at":"2018-06-10T03:41:01Z","author_association":"NONE","body":"@MSiam When you are running the inference on Jetson, how much memory did you use? When I tried to do the inference on jetson with a trained mobilenet model in 512x1024 resolution, I found that ~7.8GB memory is needed, but Jetson has only ~4GB available. "}}
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