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Author SHA1 Message Date
Alex J. ChampandardandGitHub 9d8ab0ea8e Merge pull request #69 from alexjc/v0.3 
Release 0.3
 2016-11-10 17:29:18 +01:00
Alex J. Champandard 80d7b57bec Prepare build scripts for merge and update README. 2016-11-10 17:20:20 +01:00
Alex J. Champandard b706599cb1 Fix alias for bash and zsh, Closes #54. Add standalone alias-free docker example, Closes #46. 2016-11-10 17:06:52 +01:00
Alex J. Champandard c03a0b7fa3 Fix for trained models loaded from script directory. Closes #67. 2016-11-10 16:55:56 +01:00
Alex J. Champandard a69d2ae060 Add histogram color matching, enabled with --rendering-histogram. 2016-11-10 16:45:30 +01:00
Alex J. Champandard 965bd55090 Add new model selection (by image type and 'enhance' operation) and parameters and documentation in README. 2016-11-10 13:16:40 +01:00
Alex J. Champandard e6120878c6 Minor rework of the training parameters. 2016-11-09 17:04:35 +01:00
Alex J. Champandard 0d4621df0a Simplify architecture outside of convolution blocks for speed, improve training code. 2016-11-08 17:41:28 +01:00
Alex J. Champandard c8e805667f Fix for padding in convolution. 2016-11-08 17:15:54 +01:00
Alex J. Champandard 2a29fc954b Buffer chunks of images proportionally to size. 2016-11-08 17:15:41 +01:00
Alex J. Champandard da354f3e55 Remove reflection layer, important but not the bottleneck right now and quite slower. 2016-11-04 14:29:15 +01:00
Alex J. Champandard 9bba9850d5 Improve pre-processing steps to include more randomness: scales, blur... 2016-11-04 14:28:37 +01:00
Alex J. Champandard 149ae4e566 Update training parameters. 2016-11-04 00:34:52 +01:00
Alex J. Champandard de047d6a74 Fix for images that are not multiples of 2 or 4, depending on the rescaling. 2016-11-04 00:32:08 +01:00
Alex J. Champandard 29bfe58d73 Merged documentation changes. 2016-11-04 00:03:21 +01:00
Alex J. ChampandardandGitHub 9a228c1d78 Merge pull request #44 from wieczorek1990/master 
Fixed typo.
 2016-11-03 23:58:24 +01:00
Alex J. ChampandardandGitHub b24fa7490d Merge pull request #47 from alexjc/v0.2 
Release 0.2: Tiled Rendering, 1:1 Noise/Blur Fixing
 2016-11-03 22:33:15 +01:00
Alex J. Champandard 03914db364 Fix formatting, minor tweaks to Docker build files for release. 2016-11-03 22:27:28 +01:00
Alex J. Champandard 448e7b93dc Fix progress output when tiled rendering, changed default zoom level. 2016-11-03 22:01:08 +01:00
Alex J. Champandard cabaaeeefe Add training scripts for networks currently being trained, for release v0.2. 2016-11-03 20:12:58 +01:00
Alex J. Champandard 1ad40b6d71 Merge branch 'master' into v0.2 2016-11-03 19:27:10 +01:00
Alex J. Champandard ac49676415 Add tiled rendering with padding, no feather-blending but looks good enough. 2016-11-03 19:26:55 +01:00
Łukasz Wieczorek ed20dcefd5 Fixed typo 2016-11-03 12:05:33 +01:00
Alex J. Champandard 095fe42dc3 Add tiled rendering, currently with no padding for each tile. 2016-11-03 10:35:43 +01:00
Alex J. Champandard d18c08f1b5 Integrated reflection padding instead of zero padding for extra quality during training and inference. 2016-11-02 21:39:34 +01:00
Alex J. Champandard 90c0b7ea43 Fix padding code, more reliable for specific upscale/downscale combinations. 2016-11-02 13:03:00 +01:00
Alex J. Champandard 3b2a6b9d8d Add extra padding on input to avoid zero-padding. Experiment with training values from ENet (segmentation). 2016-11-02 12:08:07 +01:00
Alex J. Champandard 7924cc4a85 Improve display and filenames for saving output. 2016-11-02 10:16:31 +01:00
Alex J. Champandard 93e5a41d9a Fix and optimize pre-processing of images. 2016-11-01 20:40:10 +01:00
Alex J. Champandard 11ba505252 Fix for gradient clipping code. 2016-11-01 16:04:33 +01:00
Alex J. Champandard cf65207a2e Use full range of tanh output rather than [-0.5, +0.5], avoids clipping. 2016-11-01 16:02:18 +01:00
Alex J. Champandard 0c31e53731 Fix suggested alias for relative paths. Closes #37 #28. 2016-11-01 15:11:55 +01:00
Alex J. Champandard 34f8e629c2 Improve the alias used to invoke docker, so it's more robust to directory locations and input paths. 2016-11-01 09:54:58 +01:00
Alex J. Champandard c610623b11 Add gradient clipping, helpful for preventing problems with extreme parameters/architectures. 2016-10-31 21:38:23 +01:00
Alex J. Champandard 02d2fca6c5 Corrected value for adversarial loss. Don't refactor math the day after stopping coffee. 2016-10-31 20:55:11 +01:00
Alex J. Champandard f2494f8078 Add new downscale layers, separate from upscale steps. Renamed --scales to --zoom for inference. 2016-10-31 13:49:17 +01:00
Alex J. ChampandardandGitHub 0c9937a317 Merge pull request #22 from msfeldstein/master 
Remove cnmem theano flag.
 2016-10-31 13:29:31 +01:00
Alex J. Champandard 064f9dd589 Add three image pre-processing options, improve loading code. 2016-10-31 06:21:52 +01:00
Michael Feldstein fef84c5b44 Remove cnmem theano flag since it doesn't work if you're sharing GPU with display. 2016-10-30 19:24:50 -07:00
Alex J. Champandard 5ef872b876 Add warning for files that may be too large for 4x. 2016-10-30 20:45:10 +01:00
Alex J. ChampandardandGitHub a5ad2c25e6 Merge pull request #18 from alexjc/training 
Training Improvements
 2016-10-30 20:29:13 +01:00
Alex J. Champandard 17fcad8d28 Refactor of changes related to training. 2016-10-30 20:26:03 +01:00
Alex J. ChampandardandGitHub 2b67daedb6 Merge pull request #12 from dribnet/generic_seeds 
Move generation of seeds out of training network.
 2016-10-30 17:19:33 +01:00
Alex J. ChampandardandGitHub cad5eff572 Merge pull request #11 from dribnet/save_every_epoch 
Added --save-every-epoch option
 2016-10-30 17:18:33 +01:00
Alex J. ChampandardandGitHub a9b0cd9887 Merge pull request #9 from zuphilip/patch-1 
Fix some typos in README.
 2016-10-30 17:07:15 +01:00
Alex J. ChampandardandGitHub fcc5e87858 Merge pull request #4 from dribnet/valid_dir 
Add valid dir when necessary.
 2016-10-30 17:06:33 +01:00
Alex J. ChampandardandGitHub 1478977f18 Merge pull request #10 from OndraM/fix-duplicate-param 
Fix duplicate param definition.
 2016-10-30 16:53:48 +01:00
Tom White 8f5167d235 Fix enhancer.process to pass img, seed 2016-10-31 02:14:24 +13:00
Tom White 37cb208374 Move generation of seeds out of training network 
This moves the generation of the image seeds out of the
training network and into the DataLoader. Currently seeds
are computed as bilinear downsamplings of the original image.

This is almost functionly equivalent to the version
it replaces, but opens up new possibilities at training
time because the seeds are now decoupled from the netork.
For example, seeds could be made with different interpolations
or even with other transformations such as image compression.
 2016-10-31 01:25:55 +13:00
Tom White b05ee6ad08 Added --save-every-epoch option 2016-10-31 00:12:28 +13:00