{"action":"closed","issue":{"url":"https://api.github.com/repos/pierluigiferrari/ssd_keras/issues/114","repository_url":"https://api.github.com/repos/pierluigiferrari/ssd_keras","labels_url":"https://api.github.com/repos/pierluigiferrari/ssd_keras/issues/114/labels{/name}","comments_url":"https://api.github.com/repos/pierluigiferrari/ssd_keras/issues/114/comments","events_url":"https://api.github.com/repos/pierluigiferrari/ssd_keras/issues/114/events","html_url":"https://github.com/pierluigiferrari/ssd_keras/issues/114","id":319417734,"number":114,"title":"General Workflow and a question about the data generator","user":{"login":"ChefterP","id":38496886,"avatar_url":"https://avatars1.githubusercontent.com/u/38496886?v=4","gravatar_id":"","url":"https://api.github.com/users/ChefterP","html_url":"https://github.com/ChefterP","followers_url":"https://api.github.com/users/ChefterP/followers","following_url":"https://api.github.com/users/ChefterP/following{/other_user}","gists_url":"https://api.github.com/users/ChefterP/gists{/gist_id}","starred_url":"https://api.github.com/users/ChefterP/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ChefterP/subscriptions","organizations_url":"https://api.github.com/users/ChefterP/orgs","repos_url":"https://api.github.com/users/ChefterP/repos","events_url":"https://api.github.com/users/ChefterP/events{/privacy}","received_events_url":"https://api.github.com/users/ChefterP/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2018-05-02T05:51:27Z","updated_at":"2018-05-07T13:38:31Z","closed_at":"2018-05-07T13:38:30Z","author_association":"NONE","body":"Hello, at first thank you for your great work and the very good documentation. But there are some points I actually don´t understand. I try  to explain it in my own words.\r\n\r\nI work with your ssd7 training tutorial. To train the ssd7 I have my own image dataset consists of 2000 images.\r\n\r\nAt first the parser combines the images with the labels. Then my first question is, what´s the task of the ssd_input_encoder? As next step the training follows. I set the batch size to 16. Does it mean there are 16 images who train the ssd7 during one epoch? Does ssd7 check the training level after each epoch with an image from the validation data set by making a prediction? Another question is about the data generator. Totally I´ve got 2000 images. 1500 for training and 500 for validation. If I youse the data generator and crate my own data chain, are there also 1500 images or creates the data generator new images. So I have as result the 1500 original images plus the modified ones from the data generator?\r\n\r\nBest regards\r\nChefterP\r\n\r\n"}}
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