nagadomi
eb3926b61c
Fix to work on Lua52
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web.lua does not work on Lua52 because turbo does not support Lua52 FFI.
2017-03-02 14:47:49 +09:00
nagadomi
780e22cf51
Fix io.read option
2017-03-01 15:17:09 +09:00
nagadomi
d6f5e48dab
Add support for icc profile
2017-02-12 17:19:03 +09:00
nagadomi
f7e83e4465
performance tuning
2016-09-08 22:35:27 +09:00
nagadomi
382d493514
no confidence change for #128
2016-07-27 22:55:56 +09:00
nagadomi
b3c968ef11
Fix a bug in user method when scale=2
2016-07-20 14:06:17 +09:00
nagadomi
9563d84302
No bias at FullConvolution
2016-07-12 11:15:12 +09:00
nagadomi
81df729a8a
Remove -loss option
2016-07-09 15:05:11 +09:00
nagadomi
a0d8826779
Merge branch 'master' into upconv
2016-07-09 09:58:48 +09:00
nagadomi
8e90a44d30
noise0
2016-07-09 09:08:04 +09:00
nagadomi
06e073089b
Fix for edac608f
2016-07-06 08:04:24 +09:00
nagadomi
14330e919c
tuning a little
2016-07-06 08:03:24 +09:00
nagadomi
deae802267
Fix a bug in noise reduction when using Y model
2016-07-06 00:47:58 +09:00
nagadomi
edac608f18
Add support for user specified pairwise data for universal filter
2016-07-05 02:42:40 +09:00
nagadomi
9ec1f5159b
Fix a bug in ClippedMSECriterion
2016-07-04 11:16:04 +09:00
nagadomi
eeb90dc39b
Fix a bug in preprocessing when filters=box only
2016-06-22 00:37:29 +09:00
nagadomi
d8fcde46f3
Change default -validation_crops to 200.
2016-06-20 15:56:26 +09:00
nagadomi
fb3636c3b7
Change noise rate in jpeg training
2016-06-20 15:55:43 +09:00
nagadomi
f61d59d28a
Change default params. enabling jpeg_chroma_subsampling by default
2016-06-18 20:27:34 +09:00
nagadomi
9d3e1a241e
refactor
2016-06-18 20:25:15 +09:00
nagadomi
2e26122a9e
performance tuning
2016-06-17 20:40:03 +09:00
nagadomi
e50c7d1478
Remove unused modules
2016-06-13 12:48:11 +09:00
nagadomi
3b1b2d03fe
Change default -nr_rate to 0.65
2016-06-13 12:44:32 +09:00
nagadomi
25e293202a
Add support for tta_level=1; Add support for TTA to web.lua
2016-06-12 16:55:05 +09:00
nagadomi
af74a67bd1
Add -force_cudnn option; support for cuDNN in waifu2x.lua/web.lua
2016-06-12 16:33:50 +09:00
nagadomi
6be1479710
Fix a block_size issue when using upconv_7 model
2016-06-12 05:15:24 +09:00
nagadomi
9103d393fe
Fix a performance issue
2016-06-12 05:13:40 +09:00
nagadomi
b8ff8c6787
Remove -gamma_correction option
2016-06-10 07:37:39 +09:00
nagadomi
01b2e6d441
Remove -upsampling_filter option
2016-06-10 07:34:11 +09:00
nagadomi
afac4b52ab
Add -batch_size option to waifu2x.lua/web.lua
2016-06-09 14:03:18 +09:00
nagadomi
0b949c05a7
Add support for TTA level
2016-06-09 13:09:28 +09:00
nagadomi
9514027f65
Fix a bug that -nr_rate is not used
2016-06-09 02:44:22 +09:00
nagadomi
e5cfd3dfce
Add -resume option
2016-06-09 02:39:52 +09:00
nagadomi
51914b894a
change weight initialization and upconv_7
2016-06-08 06:58:46 +09:00
nagadomi
307ae40883
Add noise_scale training
2016-06-08 06:39:36 +09:00
nagadomi
d0630d3a20
individual filters and box-only support
2016-06-06 14:04:13 +09:00
nagadomi
0349fc774c
refactor
2016-06-02 10:12:04 +09:00
nagadomi
c89fd7249a
Add learning_rate_decay
2016-06-02 10:11:15 +09:00
nagadomi
70eb2b508f
Fix a performance problem in resampling
2016-05-30 19:15:54 +09:00
nagadomi
70a2849e39
Fix missing file
2016-05-30 06:48:26 +09:00
nagadomi
99e6dd1a57
Fix border removing
2016-05-28 10:25:08 +09:00
nagadomi
8a65db7bab
Change the evaluation metric
2016-05-27 16:57:14 +09:00
nagadomi
8088460a20
Add oracle_rate option
2016-05-27 16:54:29 +09:00
nagadomi
7814691cbf
Add resize_blur parameter
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latest graphicsmagick is required
2016-05-21 09:54:12 +09:00
nagadomi
145b47dbf5
Add use_transparent_png option
2016-05-19 23:02:02 +09:00
nagadomi
f6a37b66c3
Add support for Transparent PNG in convert_data.lua
2016-05-15 12:34:03 +09:00
nagadomi
8d3950b90a
Change the default parameter (epoch, downsampling_filters)
2016-05-15 11:33:34 +09:00
nagadomi
c028ce6e4f
Fix a bug in reconstrct.scale() when inner_scale > 1 && y only model
2016-05-15 11:31:14 +09:00
nagadomi
a210090033
Convert model files; Add new pretrained model
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- Add new pretrained model to ./models/upconv_7
- Move old models to ./models/vgg_7
- Use nn.LeakyReLU instead of w2nn.LeakyReLU
- Add useful attribute to .json
New JSON attribute:
The first layer has `model_config` attribute.
It contains:
model_arch: architecture name of model. see `lib/srcnn.lua`
scale_factor: if scale_factor > 1, model:forward() changes image resolution with scale_factor.
channels: input/output channels. if channels == 3, model is RGB model.
offset: pixel size that is to be removed from output.
for example:
(scale_factor=1, offset=7, input=100x100) => output=(100-7)x(100-7)
(scale_factor=2, offset=12, input=100x100) => output=(100*2-12)x(100*2-12)
And each layer has `class_name` attribute.
2016-05-15 03:04:08 +09:00
nagadomi
48411a4dde
refactor
2016-05-14 16:51:36 +09:00
