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18 commits

Author SHA1 Message Date
nagadomi 0fe21eef70 Update random erasing; Support x padding 2018-10-03 18:30:22 +09:00
nagadomi 93cd40a53c merge random erasing 2018-10-03 18:29:05 +09:00
nagadomi ed12b43477 Change downsampling filters in pairwise_scale() 2017-02-26 09:01:26 +09:00
nagadomi c6e3a68974 Optimize flip in user method when -patchs is small 2017-02-12 17:48:21 +09:00
nagadomi 6220afc31a Fix a bug in random negate 2016-10-24 17:23:09 +09:00
nagadomi b066761cdc Add data augmentation for user method 2016-10-21 18:34:48 +09:00
nagadomi a72af8cfef Use 'image' module because the deadlock problem has fixed 2016-10-21 01:21:42 +09:00
nagadomi d7ab10581c Use clamp 2016-09-24 08:17:37 +09:00
nagadomi f65132dadb Use conv2d instead of nn.SpatialConvolutionMM 2016-09-24 05:54:18 +09:00
nagadomi 5a3d012f4e Add random blur method for data augmentation 2016-09-24 05:32:33 +09:00
nagadomi c2e4bb4380 Support for multi-thread in training
And remove `sys`,`image` and `graphicsmagicks.conveter` from the training code because those causes the deadlock on thread package.
2016-09-11 06:31:44 +09:00
nagadomi d0630d3a20 individual filters and box-only support 2016-06-06 14:04:13 +09:00
nagadomi eea4c31d7b Change parameters 2015-12-04 18:47:33 +09:00
nagadomi aaac6ed6e5 Refactor training loop
more shuffle
2015-11-30 17:18:52 +09:00
nagadomi c72ec3112b Add -random_unsharp_mask_rate option for photo 2015-11-27 18:36:36 +09:00
nagadomi eaeaef10b7 more flip 2015-11-09 23:45:01 +09:00
nagadomi 3ea16b3b86 tunable parameters 2015-11-07 07:18:22 +09:00
nagadomi 4c691b4640 refactor 2015-10-29 22:44:15 +09:00