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21 commits

Author SHA1 Message Date
nagadomi 0883b043ce Fix a bug when specifying individual downscaling filter 2018-10-06 23:31:47 +09:00
nagadomi 0fe21eef70 Update random erasing; Support x padding 2018-10-03 18:30:22 +09:00
nagadomi cba96e36fb Add -invert_x option for user_method 2017-05-17 08:51:07 +09:00
nagadomi bb0fc3a1d3 Add -validation_filename_split option 2017-04-15 16:29:38 +09:00
nagadomi f0fc2c89d1 Add support for grayscale data 2017-04-09 20:53:53 +09:00
nagadomi 71a34393b8 Add support for padding in convert_data.lua 2017-04-08 22:01:13 +09:00
nagadomi a47e0a9804 Add checking for malformed images 2016-12-05 10:37:42 +09:00
nagadomi 54b31e837d Fix a bug in convert_data.lua 2016-07-07 11:22:12 +09:00
nagadomi edac608f18 Add support for user specified pairwise data for universal filter 2016-07-05 02:42:40 +09:00
nagadomi d0630d3a20 individual filters and box-only support 2016-06-06 14:04:13 +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 fbad30c031 Fix embed gamma handling 2016-04-15 09:13:37 +09:00
nagadomi 8d6451a51b Add -max_training_image_size option 2016-04-10 23:06:39 +09:00
nagadomi 620bd9c328 Fix undefined variable in convert_data.lua 2015-11-16 13:44:49 +09:00
nagadomi 4c691b4640 refactor 2015-10-29 22:44:15 +09:00
nagadomi 3abc5a03e3 refactor 2015-10-28 16:01:07 +09:00
nagadomi 8dea362bed sync from internal repo
- Memory compression by snappy (lua-csnappy)
- Use RGB-wise Weighted MSE(R*0.299, G*0.587, B*0.114) instead of MSE
- Aggressive cropping for edge region
and some change.
2015-10-26 09:23:52 +09:00
nagadomi 99db05a753 fix image size validation in convert.lua 2015-07-11 21:53:45 +09:00
nagadomi a706892b59 merge develop repo
- remove support for cuDNN
- add new pre-trained model and json files
- some changes in training script

If you have cuDNN model, Please run following commands to convert.
$ cp models/your_own_model.t7 models/your_own_model.t7.backup
$ th cudnn2cunn.lua -model models/your_own_model.t7
2015-06-13 15:20:40 +09:00
nagadomi 2231423056 update training script 2015-05-17 14:43:07 +09:00