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Commits on Aug 8, 2018

• Create LICENSE

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Commits on Dec 6, 2017

• Merge remote-tracking branch 'origin/master'

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• Added requirements.txt

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• Update README.md

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• Update README.md

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Commits on Dec 5, 2017

• Update README.md

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• Update README.md

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• Update README.md

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• Update README.md

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Commits on Dec 4, 2017

• Update README.md

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• Update README.md

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• Update README.md

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• Performed test on google results

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Commits on Nov 28, 2017

• Fixed scales on graph

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• Merge remote-tracking branch 'origin/master'

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• Added a new test, for semi-supervised detection. Cleaned x/y axis for another test.

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Commits on Nov 27, 2017

• Update README.md

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• Added readme

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• Fixed typo

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• Final version before release

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• More cleaning, corrected a logic / problem that could arise from the clustering methods

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Commits on Nov 25, 2017

• Cleaned some portions, and put more explanations.

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Commits on Nov 22, 2017

• Did some clean up. Fixed edge cases, and logic problems.

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• Did some clean up. Fixed edge cases, and logic problems.

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Commits on Nov 19, 2017

• Completed all the wanted features

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Commits on Nov 15, 2017

• Added functionality in GUI.

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Commits on Nov 13, 2017

• Cleaned some code.

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Commits on Nov 7, 2017

• Cleaned the ImageSetCleaner from the first tests, and migrated them.

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Commits on Nov 1, 2017

• Made the code system agnostic. Made some change to clean up the main code, but not finished. Established the skeleton of the two next test

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Commits on Oct 31, 2017

• Polished testing. Added new data to compare. Solved, some weid cases that broke instances. Added a method to save our bottleneck in the test case

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Commits on Oct 16, 2017

• Added a way to get bottlenecks, meaning the values just before the soft max layer of a neural net

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Commits on Oct 10, 2017

• New classifier. Added test case; Added metrics.

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Commits on Oct 8, 2017

• Made the loading of image faster and agnostic with RGBA and other format.

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Commits on Oct 5, 2017

• Starting point

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