James Betker
24792bdb4f
Codebase cleanup
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Removed a lot of legacy stuff I have no intent on using again.
Plan is to shape this repo into something more extensible (get it? hah!)
2020-10-13 20:56:39 -06:00
James Betker
e7cf337dba
Fix bug with chunk_with_reference
2020-10-12 10:23:03 -06:00
James Betker
92cb83958a
Return zeros rather than None when image cant be read
2020-10-11 08:33:18 -06:00
James Betker
b3d0baaf17
Improve multiframe dataset memory usage
2020-10-09 08:40:00 -06:00
James Betker
b36ba0460c
Fix multi-frame dataset OBO error
2020-10-08 12:21:04 -06:00
James Betker
efbf6b737b
Update validate_data to work with SingleImageDataset
2020-10-02 08:58:34 -06:00
James Betker
57814f18cf
More features for multi-frame-dataset
2020-09-28 14:26:15 -06:00
James Betker
7dff802144
Add MultiFrameDataset
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Retrieves video sequence patches rather than single images.
2020-09-27 11:13:06 -06:00
James Betker
d8c3fc9327
Fix random noise corruptor
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It was functioning as a color shift
2020-09-27 11:12:24 -06:00
James Betker
c85da79697
Move many dataset functions into a base class
2020-09-27 11:11:58 -06:00
James Betker
5a27187c59
More mods to accomodate new dataset
2020-09-25 22:45:57 -06:00
James Betker
254cb1e915
More dataset integration work
2020-09-25 22:19:38 -06:00
James Betker
ce4613ecb9
Finish up single_image_dataset work
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Sweet!
2020-09-25 16:37:54 -06:00
James Betker
1cf73c2cce
Fix dataset for a val set that includes lq
2020-09-24 18:01:07 -06:00
James Betker
dab8ab8a8f
Offer option to configure the size of the normal distribution that the target size is drawn from
2020-09-20 11:59:31 -06:00
James Betker
e2a146abc7
Add in experiments hook
2020-09-19 10:05:25 -06:00
James Betker
4f75cf0f02
Revert "Full image dataset operates on lists"
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Going with an entirely new dataset instead..
This reverts commit 36ec32bf11
.
2020-09-18 09:50:43 -06:00
James Betker
36ec32bf11
Full image dataset operates on lists
2020-09-18 09:50:26 -06:00
James Betker
3cb2a9a9d3
New dataset, initial work
2020-09-18 09:49:13 -06:00
James Betker
f5cd23e2d5
Further patch size adjustments
2020-09-16 16:50:35 -06:00
James Betker
0b047e5f80
Increase scale of the patch selector random distribution
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This will cause larger slices of an image to appear more frequently,
increasing the difficulty of the generator.
2020-09-16 08:27:42 -06:00
James Betker
94deab2792
Fix error serving gt_fullsize_ref in full_image_dataset
2020-09-14 15:05:44 -06:00
James Betker
5189b11dac
Add combined dataset for training across multiple datasets
2020-09-11 08:44:06 -06:00
James Betker
3027e6e27d
Enable amp to be disabled
2020-09-09 10:45:59 -06:00
James Betker
a5c2388368
Use lower LQ image size when it is being fed in
2020-09-06 17:26:32 -06:00
James Betker
17aa205e96
New dataset that reads from lmdb
2020-09-04 17:32:57 -06:00
James Betker
8580490a85
Reduce usage of resize operations when not needed in dataloaders.
2020-09-04 15:31:24 -06:00
James Betker
6226b52130
Pin memory in dataloaders by default
2020-09-04 15:30:46 -06:00
James Betker
03eb29a4d9
Fix LQGT dataset
2020-08-25 11:57:25 -06:00
James Betker
a65b07607c
Reference network
2020-08-25 11:56:59 -06:00
James Betker
f224907603
Fix LQGT_dataset, add full_image_dataset
2020-08-24 17:12:43 -06:00
James Betker
5ec04aedc8
Let noise be configurable
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LQ noise is not currently configurable for some reason..
2020-08-24 15:00:14 -06:00
James Betker
dffc15184d
More ExtensibleTrainer work
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It runs now, just need to debug it to reach performance parity with SRGAN. Sweet.
2020-08-23 17:22:45 -06:00
James Betker
eb11a08d1c
Enable disjoint feature networks
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This is done by pre-training a feature net that predicts the features
of HR images from LR images. Then use the original feature network
and this new one in tandem to work only on LR/Gen images.
2020-07-31 16:29:47 -06:00
James Betker
7629cb0e61
Add FDPL Loss
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New loss type that can replace PSNR loss. Works against the frequency domain
and focuses on frequency features loss during hr->lr conversion.
2020-07-30 20:47:57 -06:00
James Betker
0892d5fe99
LQGT_dataset gan debug
2020-07-26 22:48:35 -06:00
James Betker
9a8f227501
Allow separate dataset to pushed in for GAN-only training
2020-07-26 21:44:45 -06:00
James Betker
c50cce2a62
Add an abstract, configurabler weight scheduling class and apply it to the feature weight
2020-07-23 17:03:54 -06:00
James Betker
8a0a1569f3
Enable force_multiple in LQ_dataset
2020-07-22 20:51:16 -06:00
James Betker
ef9f1307eb
Sometimes don't use compression artifacts
2020-07-10 22:25:53 -06:00
James Betker
ed6a15e768
Add feature to dataset which allows it to force images to be a certain size.
2020-07-03 15:19:16 -06:00
James Betker
296135ec18
Add doResizeLoss to dataset
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doResizeLoss has a 50% chance to resize the LQ image to 50% size,
then back to original size. This is useful to training a generator to
recover these lost pixel values while also being able to do
repairs on higher resolution images during training.
2020-06-08 11:27:06 -06:00
James Betker
318a604405
Allow weighting of input data
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This essentially allows you to give some datasets more
importance than others for the purposes of reaching a more
refined network.
2020-06-04 10:05:21 -06:00
James Betker
90125f5bed
Allow blurring to be specified
2020-06-02 08:40:52 -06:00
James Betker
1eb9c5a059
Fix grayscale
2020-05-29 22:04:50 -06:00
James Betker
74b313aaa9
Add grayscale downsampling option
2020-05-29 20:34:00 -06:00
James Betker
6962ccb306
Adjust motion blur
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0 is invalid.
2020-05-27 13:09:46 -06:00
James Betker
e27a49454e
Enable vertical splitting on inference images to support very large resolutions.
2020-05-27 08:04:35 -06:00
James Betker
96ac26a8b7
Allow injection of random low-amplitude noise & motion blur into generator
2020-05-27 08:04:11 -06:00
James Betker
69cbfa2f0c
Adjust dataset mutations a bit
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Adjusts the compression artfacts to be more aggressive, and blurring to be less aggressive.
2020-05-26 13:48:34 -06:00
James Betker
2931142458
Allow multiple gt image dirs
2020-05-25 19:21:09 -06:00
James Betker
4e44b8a1aa
Clean up video stuff
2020-05-25 19:20:49 -06:00
James Betker
8464cae168
HQ blurring doesnt actually work right - hq images arent the right size when they are blurred
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Just revert it and blur the lq images..
2020-05-24 22:32:54 -06:00
James Betker
5fd8749cf2
More updates - need more blurring
2020-05-24 22:13:27 -06:00
James Betker
9627cc2c49
Update HR gaussian blur params
2020-05-24 18:00:31 -06:00
James Betker
2f8b0250b9
Blur HR image before downsizing, when available
2020-05-24 17:18:44 -06:00
James Betker
cc4571eb8d
Randomize blur effect
2020-05-24 12:35:41 -06:00
James Betker
27a548c019
Enable blurring via settings
2020-05-24 11:56:39 -06:00
James Betker
90073fc761
Update LQ_dataset to support inference on split image videos
2020-05-23 21:05:49 -06:00
James Betker
74bb0fad33
Allow dataset classes to add noise internally
2020-05-23 21:04:24 -06:00
James Betker
67139602f5
Test modifications
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Allows bifurcating large images put into the test pipeline
This code is fixed and not dynamic. Needs some fixes.
2020-05-19 09:37:58 -06:00
James Betker
d72e154442
Allow more LQ than GT images in corrupt mode
2020-05-14 20:46:20 -06:00
James Betker
585b05e66b
Cap test workers at 10
2020-05-13 09:20:45 -06:00
James Betker
f994466289
Initialize test dataloader with a worker count proportional to the batch size.
2020-05-10 10:49:37 -06:00
James Betker
8969a3ce70
Add capability to start at arbitrary frames
2020-05-10 10:48:05 -06:00
James Betker
dbca0d328c
Fix multi-lq bug
2020-05-06 23:16:35 -06:00
James Betker
5c1832e124
Add support for multiple LQ paths
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I want to be able to specify many different transformations onto
the target data; the model should handle them all. Do this by
allowing multiple LQ paths to be selected and the dataset class
selects one at random.
2020-05-06 17:24:17 -06:00
James Betker
44b89330c2
Support inference across batches, support inference on cpu, checkpoint
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This is a checkpoint of a set of long tests with reduced-complexity networks. Some takeaways:
1) A full GAN using the resnet discriminator does appear to converge, but the quality is capped.
2) Likewise, a combination GAN/feature loss does not converge. The feature loss is optimized but
the model appears unable to fight the discriminator, so the G-loss steadily increases.
Going forwards, I want to try some bigger models. In particular, I want to change the generator
to increase complexity and capacity. I also want to add skip connections between the
disc and generator.
2020-05-04 08:48:25 -06:00
James Betker
61d3040cf5
Add doCrop into LQGT
2020-05-02 17:46:30 -06:00
James Betker
3781ea725c
Add Resnet Discriminator with BN
2020-04-29 20:51:57 -06:00
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
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
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
f4b33b0531
Some random fixes/adjustments
2020-04-22 00:38:53 -06:00
James Betker
af5dfaa90d
Change GT_size to target_size
2020-04-22 00:37:41 -06:00
XintaoWang
a25ee9464d
test w/o GT
2019-09-01 22:20:10 +08:00
XintaoWang
037933ba66
mmsr
2019-08-23 21:42:47 +08:00