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
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
5e222a3981
Add -tta and -resize_blur option to benchmark
2016-06-02 10:15:54 +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
7af5c9443d
Add model option and 12 layers net
2016-04-23 09:19:03 +09:00
nagadomi
8e9e4433d3
Add thread option to benchmark
2016-04-15 09:15:19 +09:00
nagadomi
d31fbe9bb1
Improve benchmark script
2016-04-12 03:48:44 +09:00
nagadomi
7710a30225
Add useful option to benchmark
2016-04-11 23:19:47 +09:00
nagadomi
d9474702f6
Fix NaN in benchmark script
2016-04-11 21:48:00 +09:00
nagadomi
13f702b968
Add support for resizing with gamma correction
2016-03-28 19:07:09 +09:00
nagadomi
29dc96eadf
Remove unused attributes in json
2016-03-27 17:37:38 +09:00
nagadomi
664322fa97
Remove cleanup_model.lua; Change model format from binary to ascii
2016-03-12 05:20:19 +09:00
nagadomi
ff63a28540
Add tools/rebuild_model
2016-01-23 09:38:40 +09:00
nagadomi
56296c25b3
refactor
2015-11-27 13:15:37 +09:00
nagadomi
dde2cdf294
Fix denoising benchmark
2015-11-27 13:07:00 +09:00
nagadomi
3c9726da81
rmse
2015-11-27 12:50:09 +09:00
nagadomi
4551ddaaa6
Add support to reproduce the dynamic range bug in PSNR
...
I think some academic paper has this bug.
2015-11-25 14:42:38 +09:00
nagadomi
b829595c21
Make compatible with MATLAB based benchmarks
2015-11-23 00:41:22 +09:00
nagadomi
abedec9d9b
Fix filter name for graphicsmagick
...
graphicsmagick package has bug in the definition of FilteTypes.
I will send PR to fix that bug.
This commit is related to it.
You should upgrade graphicsmagick package.
$ luarocks install graphicsmagick
2015-11-21 11:57:33 +09:00
nagadomi
e9187ecf1c
load float images directly
2015-11-21 00:58:30 +09:00
nagadomi
c47df93505
show baseline
2015-11-21 00:29:57 +09:00
nagadomi
7ac7923345
Don't run model2 benchmark when model2_dir is not specified
2015-11-09 06:23:57 +09:00
nagadomi
4322b63750
Set cuda():evaluate()
2015-11-09 03:45:03 +09:00
nagadomi
986ef34ffc
Add color and gamma attribute to json file
2015-11-08 22:12:48 +09:00
nagadomi
5ab2c605c8
Fix header include order issues
2015-11-08 18:31:46 +09:00
nagadomi
df1c1b2c1e
tools/bechmark.lua: Add -filter option. refactor
2015-11-07 23:44:37 +09:00
nagadomi
3b2aa67e55
Improve web interface
2015-11-07 22:54:29 +09:00
nagadomi
268b9f6671
refactor tools/export_model.lua
2015-11-06 10:42:37 +09:00
nagadomi
6924920a2f
Fix tools/cudnn2cunn.lua no effect
2015-11-06 10:32:13 +09:00
nagadomi
2b9753157a
simplify
2015-11-06 08:04:43 +09:00
nagadomi
1a20ec501b
Fix the evaluation metric in benchmark
2015-11-05 15:18:49 +09:00
nagadomi
425898a3aa
Don't use cudnn.benchmark mode when predicting
2015-10-31 22:09:21 +09:00
nagadomi
4c691b4640
refactor
2015-10-29 22:44:15 +09:00
nagadomi
21ea5dd858
add cudnn converter
2015-10-29 18:05:33 +09:00
nagadomi
3abc5a03e3
refactor
2015-10-28 16:01:07 +09:00
