{"action":"created","issue":{"url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset/issues/19","repository_url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset","labels_url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset/issues/19/labels{/name}","comments_url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset/issues/19/comments","events_url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset/issues/19/events","html_url":"https://github.com/googlecreativelab/quickdraw-dataset/issues/19","id":337879160,"node_id":"MDU6SXNzdWUzMzc4NzkxNjA=","number":19,"title":"Reconstruct high quality 28x28 .npy files from binary files","user":{"login":"inzouzouwetrust","id":17804379,"node_id":"MDQ6VXNlcjE3ODA0Mzc5","avatar_url":"https://avatars2.githubusercontent.com/u/17804379?v=4","gravatar_id":"","url":"https://api.github.com/users/inzouzouwetrust","html_url":"https://github.com/inzouzouwetrust","followers_url":"https://api.github.com/users/inzouzouwetrust/followers","following_url":"https://api.github.com/users/inzouzouwetrust/following{/other_user}","gists_url":"https://api.github.com/users/inzouzouwetrust/gists{/gist_id}","starred_url":"https://api.github.com/users/inzouzouwetrust/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/inzouzouwetrust/subscriptions","organizations_url":"https://api.github.com/users/inzouzouwetrust/orgs","repos_url":"https://api.github.com/users/inzouzouwetrust/repos","events_url":"https://api.github.com/users/inzouzouwetrust/events{/privacy}","received_events_url":"https://api.github.com/users/inzouzouwetrust/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2018-07-03T12:33:11Z","updated_at":"2018-08-15T14:13:25Z","closed_at":"2018-07-09T14:45:04Z","author_association":"NONE","body":"First off, thank you so much for providing such a helpful dataset, it truly is a goldmine!\r\n\r\nI am having trouble reconstructing the 28x28 images from the binary files provided in this dataset.\r\nWhat are the actual steps in order to reconstruct the 28x28 images in the provided quality from the binary files?\r\n\r\nMy issue is quite similar to #15 but I managed to get intermediary results.\r\n\r\nHere is my current progress:\r\n* Using the ``examples/binary_file_parser.py`` I am able to reconstruct the image in any given size by handling the stroke paths.\r\n* I am also able to use some blurring to smooth the image.\r\n\r\n* However the quality of the reconstructed image is nowhere near the 28x28 images dataset provided in this repository.\r\n\r\nThis is an original image from the 28x28 .npy dataset:\r\n![original_npy](https://user-images.githubusercontent.com/17804379/42219777-56de0c10-7ecd-11e8-8448-8d61867ee9b9.png)\r\n\r\nThis is my reconstruction using no blurring technique:\r\n![reconstruction_no_blur](https://user-images.githubusercontent.com/17804379/42219832-7e0e7d74-7ecd-11e8-8b9f-5fa665be583e.png)\r\n\r\nAnd this is my reconstruction using a (2, 2) blur kernel in OpenCV:\r\n![reconstruction_blur_2](https://user-images.githubusercontent.com/17804379/42219851-8d29235e-7ecd-11e8-84a8-3238b415dbb2.png)\r\n\r\nAny idea on how to reconstruct these images in the quality that is available when downloading the 28x28 .npy files?\r\nIs there some more advanced smoothing and filtering techniques that I have been missing?"},"comment":{"url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset/issues/comments/413210555","html_url":"https://github.com/googlecreativelab/quickdraw-dataset/issues/19#issuecomment-413210555","issue_url":"https://api.github.com/repos/googlecreativelab/quickdraw-dataset/issues/19","id":413210555,"node_id":"MDEyOklzc3VlQ29tbWVudDQxMzIxMDU1NQ==","user":{"login":"HalfdanJ","id":227529,"node_id":"MDQ6VXNlcjIyNzUyOQ==","avatar_url":"https://avatars0.githubusercontent.com/u/227529?v=4","gravatar_id":"","url":"https://api.github.com/users/HalfdanJ","html_url":"https://github.com/HalfdanJ","followers_url":"https://api.github.com/users/HalfdanJ/followers","following_url":"https://api.github.com/users/HalfdanJ/following{/other_user}","gists_url":"https://api.github.com/users/HalfdanJ/gists{/gist_id}","starred_url":"https://api.github.com/users/HalfdanJ/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HalfdanJ/subscriptions","organizations_url":"https://api.github.com/users/HalfdanJ/orgs","repos_url":"https://api.github.com/users/HalfdanJ/repos","events_url":"https://api.github.com/users/HalfdanJ/events{/privacy}","received_events_url":"https://api.github.com/users/HalfdanJ/received_events","type":"User","site_admin":false},"created_at":"2018-08-15T14:13:25Z","updated_at":"2018-08-15T14:13:25Z","author_association":"MEMBER","body":"The vector_images I believe would be an array of drawings from the simplified dataset (the vector strokes). The part that looks like this\r\n\r\n```\r\n    \"drawing\":[[[129,128,129,129,130,130,131,132,132,133,133,133,133,...]]]\r\n```"}}
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