James Betker
46f550e42b
Change downsample_dataset to do no image modification
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I'm preprocessing the images myself now. There's no need to have
the dataset do this processing as well.
2020-04-28 11:50:04 -06:00
James Betker
8ab595e427
Add FlatProcessorNet
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After doing some thinking and reading on the subject, it occurred to me that
I was treating the generator like a discriminator by focusing the network
complexity at the feature levels. It makes far more sense to process each conv
level equally for the generator, hence the FlatProcessorNet in this commit. This
network borrows some of the residual pass-through logic from RRDB which makes
the gradient path exceptionally short for pretty much all model parameters and
can be trained in O1 optimization mode without overflows again.
2020-04-28 11:49:21 -06:00
James Betker
b8f67418d4
Retool HighToLowResNet
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The receptive field of the original was *really* low. This new one has a
receptive field of 36x36px patches. It also has some gradient issues
that need to be worked out
2020-04-26 01:13:42 -06:00
James Betker
02ff4a57fd
Enable HighToLowResNet to do a 1:1 transform
2020-04-25 21:36:32 -06:00
James Betker
35bd1ecae4
Config changes for discriminator advantage run
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Still going from high->low, discriminator discerns on low. Next up disc works on high.
2020-04-25 11:24:28 -06:00
James Betker
d95808f4ef
Implement downsample GAN
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This bad boy is for a workflow where you train a model on disjoint image sets to
downsample a "good" set of images like a "bad" set of images looks. You then
use that downsampler to generate a training set of paired images for supersampling.
2020-04-24 00:00:46 -06:00
James Betker
ea54c7618a
Print error when image read fails
2020-04-23 23:59:32 -06:00
James Betker
e98d92fc77
Allow test to operate on batches
2020-04-23 23:59:09 -06:00
James Betker
8ead9ae183
Lots more config files
2020-04-23 23:58:27 -06:00
James Betker
ea5f432f5a
Log total gen loss
2020-04-22 14:02:10 -06:00
James Betker
79aff886b5
Modifications that allow developer to explicitly specify a different image set for PIX and feature losses
2020-04-22 10:11:14 -06:00
James Betker
12d92dc443
Add GTLQ dataset
2020-04-22 00:40:38 -06:00
James Betker
4d269fdac6
Support independent PIX dataroot
2020-04-22 00:40:13 -06:00
James Betker
05aafef938
Support variant input sizes and scales
2020-04-22 00:39:55 -06:00
James Betker
ebda70fcba
Fix AMP
2020-04-22 00:39:31 -06:00
James Betker
f4b33b0531
Some random fixes/adjustments
2020-04-22 00:38:53 -06:00
James Betker
2538ca9f33
Add my own configs
2020-04-22 00:37:54 -06:00
James Betker
af5dfaa90d
Change GT_size to target_size
2020-04-22 00:37:41 -06:00
James Betker
cc834bd5a3
Support >128px image squares
2020-04-21 16:32:59 -06:00
James Betker
35a421f6ad
Add IDEA Project
2020-04-21 16:28:21 -06:00
James Betker
4f6d3f0dfb
Enable AMP optimizations & write sample train images to folder.
2020-04-21 16:28:06 -06:00
James Betker
9fc556be35
Remove bad folder
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Breaks git on windows
2020-04-21 16:26:19 -06:00
Xintao
a73b318f0f
Merge pull request #32 from imPRAGMA/master
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pip requirements file, and optimisations to readme
2019-11-29 23:57:45 +08:00
PRAGMA
1fb12871fd
Create requirements.txt
2019-11-24 07:48:52 +00:00
PRAGMA
8e91d59107
Update README.md
2019-11-24 07:47:57 +00:00
Xintao
3549100670
Merge pull request #24 from nlpjoe/master
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Update DATASETS.md
2019-10-27 17:28:03 +08:00
Jzzhou
ff8b645246
Update DATASETS.md
2019-10-27 16:46:45 +08:00
Xintao
8c615f0763
Update README.md
2019-09-06 21:32:28 +08:00
XintaoWang
a25ee9464d
test w/o GT
2019-09-01 22:20:10 +08:00
XintaoWang
0098663b6b
SRGAN model supprots dist training
2019-09-01 22:14:29 +08:00
XintaoWang
9d949b838e
Merge branch 'master' of github.com:open-mmlab/mmsr
2019-08-27 17:49:28 +08:00
XintaoWang
866a858e59
add deform_conv_cuda_kernel.cu
2019-08-27 17:49:12 +08:00
Chen Change Loy
caabd8e9c7
Update README.md
2019-08-26 17:34:32 +08:00
XintaoWang
dfdaaef492
add DATASETS.md
2019-08-23 21:45:54 +08:00
XintaoWang
037933ba66
mmsr
2019-08-23 21:42:47 +08:00
Kai Chen
58b175161c
Initial commit
2019-08-23 21:04:30 +08:00