Commit Graph

735 Commits

Author SHA1 Message Date
James Betker
8ab595e427 Add FlatProcessorNet
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
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
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
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
Breaks git on windows
2020-04-21 16:26:19 -06:00
Xintao
a73b318f0f
Merge pull request #32 from imPRAGMA/master
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
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