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Extremely lossy image compression with neural networks
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Author
2017-01-29
clarified the scope of this
HEAD
master
Matthew S
2016-05-08
updated README to better explain the status of the project
Matthew S
2016-04-16
Fixed the options loading
matthewsotoudeh
2016-04-16
added a CompressionOptions class
matthewsotoudeh
2016-04-16
separated Writer code
matthewsotoudeh
2016-04-12
added a value for trainingsetrandomization
matthewsotoudeh
2016-04-12
select training data randomly
matthewsotoudeh
2016-04-12
updated the compression numbers
matthewsotoudeh
2016-04-12
fixed an issue with compression
matthewsotoudeh
2016-04-12
supports 'maxTrainingSets' in the nimg.config
matthewsotoudeh
2016-04-12
remove the error threshold in the optimizer
matthewsotoudeh
2016-04-12
clarified the README
matthewsotoudeh
2016-04-12
fixed README
matthewsotoudeh
2016-04-12
README formatting
matthewsotoudeh
2016-04-12
fixed README
matthewsotoudeh
2016-04-12
"encoing" -> "encoding"
matthewsotoudeh
2016-04-12
formatting for the README
matthewsotoudeh
2016-04-12
explained more what the reconstructed PNG stats were
matthewsotoudeh
2016-04-12
Updated the README
matthewsotoudeh
2016-04-12
keep the file name when saving the .nimg
matthewsotoudeh
2016-04-12
added a config file
matthewsotoudeh
2016-04-11
added support for 2-byte color indexes
matthewsotoudeh
2016-04-11
the reconstructor works
matthewsotoudeh
2016-04-11
starting on a reconstructor
matthewsotoudeh
2016-04-11
updated the demo nimg
matthewsotoudeh
2016-04-11
README with some numbers
matthewsotoudeh
2016-04-11
lowered the tolerance
matthewsotoudeh
2016-04-11
correctly reports the % reduction
matthewsotoudeh
2016-04-11
simple compression works
matthewsotoudeh
2016-04-11
code dump
matthewsotoudeh
2016-04-11
Added Zoltar classes
matthewsotoudeh
2016-04-11
basic console project
matthewsotoudeh
2016-04-11
Initial commit
Matthew S
generated by cgit on debian on lair
contact matthew@masot.net with questions or feedback