Commit Graph

233 Commits

Author SHA1 Message Date
James Betker
8e0e883050 Mods to support labeled datasets & random augs for those datasets 2020-12-15 17:15:56 -07:00
James Betker
0a19e53df0 BYOL mods 2020-12-14 23:59:11 -07:00
James Betker
087e9280ed Add labeling feature to image_folder_dataset 2020-12-14 23:58:37 -07:00
James Betker
ec0ee25f4b Structural latents checkpoint 2020-12-11 12:01:09 -07:00
James Betker
26ceca68c0 BYOL with structure! 2020-12-10 15:07:35 -07:00
James Betker
8e4b9f42fd New BYOL dataset which uses a form of RandomCrop that lends itself to
structural guidance to the latents.
2020-12-10 09:57:18 -07:00
James Betker
66cbae8731 Add random_dataset for testing 2020-12-09 14:55:05 -07:00
James Betker
97ff25a086 BYOL!
Man, is there anything ExtensibleTrainer can't train? :)
2020-12-08 13:07:53 -07:00
James Betker
c0aeaabc31 Spinenet playground 2020-12-07 12:49:32 -07:00
James Betker
88fc049c8d spinenet latent playground! 2020-12-05 20:30:36 -07:00
James Betker
11155aead4 Directly use dataset keys
This has been a long time coming. Cleans up messy "GT" nomenclature and simplifies ExtensibleTraner.feed_data
2020-12-04 20:14:53 -07:00
James Betker
06d1c62c5a iGPT support!
Sweeeeet
2020-12-03 15:32:21 -07:00
James Betker
c963e5f2ce Add ImageFolderDataset
This one has been a long time coming.. How does torch not have something like this?
2020-12-01 17:45:37 -07:00
James Betker
0c6d7971b9 Dataset documentation 2020-11-26 11:58:39 -07:00
James Betker
45a489110f Fix datasets 2020-11-26 11:50:38 -07:00
James Betker
205c9a5335 Learn how to functionally use srflow networks 2020-11-25 13:59:06 -07:00
James Betker
f3c1fc1bcd Dataset modifications 2020-11-24 13:20:12 -07:00
James Betker
f80acfcab6 Throw if dataset isn't going to work with force_multiple setting 2020-11-19 23:47:00 -07:00
James Betker
98eada1e4c More circular dependency fixes + unet fixes 2020-11-15 11:53:35 -07:00
James Betker
5cade6b874 Move stylegan2 around, bring in unet 2020-11-14 22:04:48 -07:00
James Betker
cdc5ac30e9 oddity 2020-11-13 20:11:57 -07:00
James Betker
2d3449d7a5 stylegan2 in ml art school! 2020-11-12 15:42:05 -07:00
James Betker
6be6c92e5d Fix yet ANOTHER OBO error in multi_frame_dataset 2020-11-06 20:38:34 -07:00
James Betker
c21088e238 Fix OBO error in multi_frame_dataset
In some datasets, this meant one frame was included in a sequence where it didn't belong. In datasets with mismatched chunk sizes, this resulted in an error.
2020-11-03 14:32:06 -07:00
James Betker
e990be0449 Improve ignore_first logic 2020-11-03 11:56:32 -07:00
James Betker
f13fdd43ed Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-11-02 08:47:42 -07:00
James Betker
fed16abc22 Report chunking errors 2020-11-02 08:47:18 -07:00
James Betker
3676f26d94 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-10-31 20:55:45 -06:00
James Betker
ea8c20c0e2 Fix bug with multiscale_dataset 2020-10-31 20:54:41 -06:00
James Betker
bb39d3efe5 Bump image corruption factor a bit 2020-10-31 20:50:24 -06:00
James Betker
7303d8c932 Add psnr approximator 2020-10-31 11:08:55 -06:00
James Betker
b24ff3c88d Fix bug that causes multiscale dataset to crash 2020-10-30 14:01:24 -06:00
James Betker
74738489b9 Fixes and additional support for progressive zoom 2020-10-30 09:59:54 -06:00
James Betker
25b007a0f5 Increase jpeg corruption & add error 2020-10-28 17:37:39 -06:00
James Betker
796659b0ac Add 'jpeg-normal' corruption 2020-10-28 16:40:47 -06:00
James Betker
31cf1ac98d Retrofit full_image_dataset to work with new arch. 2020-10-27 10:26:19 -06:00
James Betker
ff58c6484a Fixes to unified chunk datasets to support stereoscopic training 2020-10-26 11:12:22 -06:00
James Betker
9c3d059ef0 Updates to be able to train flownet2 in ExtensibleTrainer
Only supports basic losses for now, though.
2020-10-24 11:56:39 -06:00
James Betker
8e5b6682bf Add PairedFrameDataset 2020-10-23 20:58:07 -06:00
James Betker
f9dc472f63 Misc nonfunctional mods to datasets 2020-10-22 10:16:17 -06:00
James Betker
aba83e7497 Don't apply jpeg corruption & noise corruption together
This causes some severe noise.
2020-10-20 12:56:35 -06:00
James Betker
111450f4e7 Use areal interpolate for multiscale_dataset 2020-10-19 15:30:25 -06:00
James Betker
9b9a6e5925 Add get_paths() to base_unsupervised_image_dataset 2020-10-19 11:30:06 -06:00
James Betker
ffad0e0422 Allow image corruption in multiscale dataset 2020-10-19 10:10:27 -06:00
James Betker
9ead2c0a08 Multiscale training in! 2020-10-17 22:54:12 -06:00
James Betker
b008a27d39 Spinenet should allow bypassing the initial conv
This makes feeding in references for recurrence easier.
2020-10-17 20:16:47 -06:00
James Betker
c7f3fc4dd9 Enable chunk_with_reference to work without centers
Moving away from this so it doesn't matter too much. Also fixes an issue
with the "ignore" flag.
2020-10-17 20:09:08 -06:00
James Betker
b45e132a9d Allow first n tiles to be ignored
Helps zoom in with chunked dataset
2020-10-17 09:45:03 -06:00
James Betker
1ba01d69b5 Move datasets to INTER_AREA interpolation for downsizing
Looks **FAR** better visually
2020-10-15 17:18:23 -06:00
James Betker
d56745b2ec JPEG-broad adjustment 2020-10-15 10:14:51 -06:00
James Betker
1dc0b05428 Add multiscale dataset 2020-10-15 10:12:50 -06:00
James Betker
0f4e03183f New image corruptor gradations 2020-10-15 10:12:25 -06:00
James Betker
24792bdb4f Codebase cleanup
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
Retrieves video sequence patches rather than single images.
2020-09-27 11:13:06 -06:00
James Betker
d8c3fc9327 Fix random noise corruptor
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
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"
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
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
LQ noise is not currently configurable for some reason..
2020-08-24 15:00:14 -06:00
James Betker
dffc15184d More ExtensibleTrainer work
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
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
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
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
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
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
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
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
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
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
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
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
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