nagadomi
eab65a1f20
Update assets; remove photo option
2016-06-13 12:44:06 +09:00
nagadomi
472215d7ee
Add support for TTA mode on web.lua
2016-06-13 11:05:09 +09:00
nagadomi
6cca2f8488
Add -force_cudnn option to tools/benchmark.lua
2016-06-12 22:03:19 +09:00
nagadomi
67d36a1220
benchmark time
2016-06-12 21:56:49 +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
599da6a665
refactor
2016-06-12 15:56:44 +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
83188c5ab7
Add support for method=noise_scale to tools/benchmark.lua
2016-06-12 05:12:31 +09:00
nagadomi
c16d0a07a2
Add -crop_size and -batch_size option to tools/benchmark.lua. Fix a bug in tta mode.
2016-06-10 09:20:43 +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
37bc7a5eea
Add support for new noise_scale method
2016-06-08 09:32:27 +09:00
nagadomi
6c758ec5c0
Correct messages
2016-06-08 07:52:38 +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
3b09bff8cf
randomly swap fg/bg color in dots/gen
2016-06-08 06:38:26 +09:00
nagadomi
d0630d3a20
individual filters and box-only support
2016-06-06 14:04:13 +09:00
nagadomi
5e222a3981
Add -tta and -resize_blur option to benchmark
2016-06-02 10:15:54 +09:00
nagadomi
abae4cb855
Fix processing time
2016-06-02 10:13:07 +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
634046d5f0
Fix training mode
2016-05-29 05:50:53 +09:00
nagadomi
b96bc5d453
Use correct criterion
2016-05-28 10:56:15 +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
8fec6f1b5a
Change the learning rate decay rate
2016-05-21 09:56:26 +09:00
nagadomi
7814691cbf
Add resize_blur parameter
...
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
db68eb208e
Add caffe.prototxt example
2016-05-15 16:50:47 +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
...
- 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
nagadomi
51ae485cd1
Add new models
...
upconv_7 is 2.3x faster than previous model
2016-05-13 09:49:53 +09:00
nagadomi
e62305377f
Add compression.size()
2016-05-13 09:35:53 +09:00
nagadomi
b8088ca209
Remove the limit of learning_rate_decay
2016-04-30 13:48:24 +09:00
nagadomi
8da52d5fb9
Merge from master
2016-04-23 12:48:24 +09:00
nagadomi
1464b0db3e
Improve output file format
...
supported format variable:
%s: basename of the source filename
%d: sequence number
example:
output/2x/%s.png
output/%d.png
output/%06d_%s.png
output/%s_%d.png
2016-04-23 12:44:40 +09:00
nagadomi
7af5c9443d
Add model option and 12 layers net
2016-04-23 09:19:03 +09:00
nagadomi
da03209d3e
Remove PNG compression option
2016-04-20 18:53:31 +09:00
