nagadomi
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0fe21eef70
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Update random erasing; Support x padding
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2018-10-03 18:30:22 +09:00 |
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nagadomi
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93cd40a53c
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merge random erasing
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2018-10-03 18:29:05 +09:00 |
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nagadomi
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fe885a3466
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Fix -pairwise_y_binary
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2017-04-16 04:38:53 +09:00 |
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nagadomi
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f0fc2c89d1
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Add support for grayscale data
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2017-04-09 20:53:53 +09:00 |
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nagadomi
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385020e0e1
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Fix a bug of 763f5ddcab
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2017-02-19 01:42:40 +09:00 |
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nagadomi
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763f5ddcab
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Fix crop bug in rare case
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2017-02-12 17:46:07 +09:00 |
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nagadomi
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bdaca16c67
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perfomance tuning
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2016-11-02 23:42:14 +09:00 |
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nagadomi
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b066761cdc
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Add data augmentation for user method
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2016-10-21 18:34:48 +09:00 |
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nagadomi
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e71ff1fc6a
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Fix a bug in random blur
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2016-10-05 18:48:32 +09:00 |
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nagadomi
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0517605d0d
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Remove flip() from preprocess() because the data will flip() at flip_augmentation()
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2016-09-24 06:22:30 +09:00 |
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nagadomi
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5a3d012f4e
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Add random blur method for data augmentation
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2016-09-24 05:32:33 +09:00 |
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nagadomi
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c2e4bb4380
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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.
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2016-09-11 06:31:44 +09:00 |
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nagadomi
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f7e83e4465
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performance tuning
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2016-09-08 22:35:27 +09:00 |
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nagadomi
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eeb90dc39b
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Fix a bug in preprocessing when filters=box only
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2016-06-22 00:37:29 +09:00 |
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nagadomi
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9d3e1a241e
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refactor
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2016-06-18 20:25:15 +09:00 |
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nagadomi
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2e26122a9e
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performance tuning
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2016-06-17 20:40:03 +09:00 |
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nagadomi
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d0630d3a20
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individual filters and box-only support
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2016-06-06 14:04:13 +09:00 |
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nagadomi
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0349fc774c
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refactor
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2016-06-02 10:12:04 +09:00 |
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nagadomi
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70eb2b508f
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Fix a performance problem in resampling
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2016-05-30 19:15:54 +09:00 |
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nagadomi
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99e6dd1a57
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Fix border removing
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2016-05-28 10:25:08 +09:00 |
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nagadomi
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51ae485cd1
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Add new models
upconv_7 is 2.3x faster than previous model
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2016-05-13 09:49:53 +09:00 |
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