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Author SHA1 Message Date
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 c610623b11 Add gradient clipping, helpful for preventing problems with extreme parameters/architectures. 2016-10-31 21:38:23 +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. Champandard 064f9dd589 Add three image pre-processing options, improve loading code. 2016-10-31 06:21:52 +01:00
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
Alex J. Champandard f68f04fb1c Improve instructions to train custom models so a new file is output and existing one is not loaded. Use --model parameter! 2016-10-30 10:50:57 +01:00
Alex J. Champandard 203917d122 Switch default to small model to reduce memory usage. 2016-10-30 10:49:23 +01:00
Alex J. Champandard 2b5fc8f51d Add docker instructions, fix for slow compute in CPU image. 2016-10-30 02:04:28 +02:00
Alex J. Champandard 74cb95609e Fix for docker build using latest Miniconda and Python 3.5 explicitly. 2016-10-29 23:57:08 +02:00
Alex J. Champandard 99c767b7e2 Add docker configuration files for CPU and GPU. 2016-10-29 22:29:30 +02:00
Alex J. Champandard bf22450b8d Update documentation for new --train usage, minor improvements. 2016-10-29 14:15:24 +02:00
Alex J. Champandard 4c55c48f62 Add argument for specifying training images, cleaned up file handling. 2016-10-29 12:39:07 +02:00
Alex J. Champandard 1c38f2ca31 New meme-friendly image and link to demo. 2016-10-29 01:35:44 +02:00
Alex J. Champandard b1c054ce9f Improve the README for applying and training models. 2016-10-29 00:39:32 +02:00
Alex J. Champandard f868514be3 Improve code for simply applying super-resolution. 2016-10-29 00:18:44 +02:00
Alex J. Champandard 30534c6dd1 Add old station example, fix bank example. 2016-10-28 22:55:10 +02:00
Alex J. Champandard 801a4707f4 Improve README and the visual examples. 2016-10-28 16:29:37 +02:00
Alex J. Champandard 39e12ea205 Add example GIF to the README, tweak text. 2016-10-28 14:38:28 +02:00
Alex J. Champandard c456221cb5 Experiment with recursive super-resolution and weight reuse, mixed results. 2016-10-28 04:28:30 +02:00
Alex J. Champandard 87304c93a6 Use traditional learning rate decaying rather than fast-restarts, works better when training continuously adapting GAN. 2016-10-28 04:27:17 +02:00
Alex J. Champandard 3809e9b02a Add loading of images into a buffer, using multiple fragments per JPG loaded. Works well with larger datasets like OpenImages, fully GPU bound. 2016-10-28 04:25:10 +02:00
Alex J. Champandard 619fad7f3c Add loading parameters from saved models. Clean up learning-rate code. 2016-10-11 17:24:10 +02:00
Alex J. Champandard bb3b24b04c Add README and requirements file. 2016-10-11 17:16:06 +02:00
Alex J. Champandard f978f058dd Add descriptions for command-line arguments. 2016-10-11 11:12:49 +02:00
Alex J. Champandard d8c9292b80 Tweak code for generalized super-resolution. 2016-10-11 08:59:42 +02:00
Alex J. Champandard 9558a11397 Add command-line for super-resolving images without training. 2016-10-07 21:05:38 +02:00
Alex J. Champandard 03a6813e95 Enable adversarial loss during training. 2016-10-05 14:52:28 +02:00
Alex J. Champandard 6542f435b4 Stabilize the training, tuned the architecture. 2016-10-05 00:27:26 +02:00
Alex J. Champandard 4580e5531a Add .gitignore and removed symlink. 2016-10-04 13:19:53 +02:00
Alex J. Champandard b52530cf20 Add support for PRELU (default), optional load/save. 2016-10-04 11:25:03 +02:00
Alex J. Champandard 4d82c7f157 Improve console output. 2016-10-04 02:16:34 +02:00
Alex J. Champandard 8770113f9a Add support for loading/saving models. Fixed regressions. 2016-10-04 01:40:30 +02:00
Alex J. Champandard 58e1bed4a6 Improve display and code structure. 2016-10-03 22:17:37 +02:00
Alex J. Champandard 749b467f94 Switch to sub-pixel deconvolution layer. 2016-10-02 21:25:02 +02:00
Alex J. Champandard 9f13695050 Add discriminator network too. 2016-10-02 14:01:51 +02:00
Alex J. Champandard 3f24714039 Add residual blocks to generator. 2016-10-02 14:01:10 +02:00
Alex J. Champandard 058e3d3b9e Add simple but working prototype, perceptual loss. 2016-10-01 21:46:32 +02:00
Alex J. Champandard c36e677041 Initial commit 2016-10-01 15:01:50 +02:00