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Website for oxykodit, including online Deep Learning demo with Tufa image recognition
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Latest commit 331c3d0 Jan 21, 2019
Type Name Latest commit message Commit time
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ml_model ML model URL as parameter Jan 7, 2019
static aesthetic changes Jan 15, 2019
templates aesthetic changes Jan 15, 2019
.gitignore cleanup Jan 2, 2019 Update Jan 14, 2019 randomly showing messages while training the model Jan 14, 2019 from 13s to 8s Jan 21, 2019
requirements.txt fixes to generate in-mem predictions Jan 2, 2019

Python & Flask code to run Tufa example @ OxyKodit website contains the Flask framework that parses GET/POST information, keeps track of the image annotations, trains the Machine Learning model and runs the predictions. contains the Python Machine Learning code that takes the pretrained neural net and retrains the last layers with the annotated Tufa examples. This file is based on code from the Tensorflow github.

ml_model contains the pre-trained models cached from and

templates contains the HTML files, including javascript, for rendering the interactive grid page.

static contains the image JPG files.

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