{"action":"closed","issue":{"url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor/issues/18","repository_url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor","labels_url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor/issues/18/labels{/name}","comments_url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor/issues/18/comments","events_url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor/issues/18/events","html_url":"https://github.com/openfoodfacts/off-nutrition-table-extractor/issues/18","id":356531016,"node_id":"MDU6SXNzdWUzNTY1MzEwMTY=","number":18,"title":"Load models when the server starts. ","user":{"login":"sgrpanchal31","id":18169586,"node_id":"MDQ6VXNlcjE4MTY5NTg2","avatar_url":"https://avatars3.githubusercontent.com/u/18169586?v=4","gravatar_id":"","url":"https://api.github.com/users/sgrpanchal31","html_url":"https://github.com/sgrpanchal31","followers_url":"https://api.github.com/users/sgrpanchal31/followers","following_url":"https://api.github.com/users/sgrpanchal31/following{/other_user}","gists_url":"https://api.github.com/users/sgrpanchal31/gists{/gist_id}","starred_url":"https://api.github.com/users/sgrpanchal31/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/sgrpanchal31/subscriptions","organizations_url":"https://api.github.com/users/sgrpanchal31/orgs","repos_url":"https://api.github.com/users/sgrpanchal31/repos","events_url":"https://api.github.com/users/sgrpanchal31/events{/privacy}","received_events_url":"https://api.github.com/users/sgrpanchal31/received_events","type":"User","site_admin":false},"labels":[{"id":974729301,"node_id":"MDU6TGFiZWw5NzQ3MjkzMDE=","url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor/labels/enhancement","name":"enhancement","color":"a2eeef","default":true},{"id":974729302,"node_id":"MDU6TGFiZWw5NzQ3MjkzMDI=","url":"https://api.github.com/repos/openfoodfacts/off-nutrition-table-extractor/labels/help%20wanted","name":"help wanted","color":"008672","default":true}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-09-03T14:40:56Z","updated_at":"2018-11-13T16:07:52Z","closed_at":"2018-11-13T16:07:52Z","author_association":"COLLABORATOR","body":"When we were developing the pipeline, the models were loading as the pipeline proceeds since it won't have any effect on the total inference time. But when deploying the models, it is better to load them in the RAM when the server starts so that the response time could get reduced and it will also reduce the load on the server.\r\nKeep in mind to load the models in such a way that it won't affect the pipeline when we try to run `python detection.py -i [image-path]` command.\r\n\r\n"}}
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