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1171 Commits

Author SHA1 Message Date
James Betker
bad33de906 Add simple resize to extract images 2020-06-23 09:39:51 -06:00
James Betker
030648f2bc Remove batchnorms from resgen 2020-06-22 17:23:36 -06:00
James Betker
68bcab03ae Add growth channel to switch_growths for flat networks 2020-06-22 10:40:16 -06:00
James Betker
3b81712c49 Remove BN from transforms 2020-06-19 16:52:56 -06:00
James Betker
61364ec7d0 Fix inverse temperature curve logic and add upsample factor 2020-06-19 09:18:30 -06:00
James Betker
0551139b8d Fix resgen temperature curve below 1 
It needs to be inverted to maintain a true linear curve
 2020-06-18 16:08:07 -06:00
James Betker
efc80f041c Save & load amp state 2020-06-18 11:38:48 -06:00
James Betker
2e3b6bad77 Log tensorboard directly into experiments directory 2020-06-18 11:33:02 -06:00
James Betker
778e7b6931 Add a double-step to attention temperature 2020-06-18 11:29:31 -06:00
James Betker
d2d5e097d5 Add profiling to SRGAN for testing timings 2020-06-18 11:29:10 -06:00
James Betker
45a900fafe Misc 2020-06-18 11:28:55 -06:00
James Betker
59b0533b06 Fix attimage step size 2020-06-17 18:45:24 -06:00
James Betker
645d0ca767 ResidualGen mods 
- Add filters_mid spec which allows a expansion->squeeze for the transformation layers.
- Add scale and bias AFTER the switch
- Remove identity transform (models were converging on this)
- Move attention image generation and temperature setting into new function which gets called every step with a save path
 2020-06-17 17:18:28 -06:00
James Betker
6f8406fbdc Fixed ConfigurableSwitchedGenerator bug 2020-06-16 16:53:57 -06:00
James Betker
7d541642aa Get rid of SwitchedResidualGenerator 
Just use the configurable one instead..
 2020-06-16 16:23:29 -06:00
James Betker
379b96eb55 Output histograms with SwitchedResidualGenerator 
This also fixes the initialization weight for the configurable generator.
 2020-06-16 15:54:37 -06:00
James Betker
f8b67f134b Get proper contiguous view for backwards compatibility 2020-06-16 14:27:16 -06:00
James Betker
2def96203e Mods to SwitchedResidualGenerator_arch 
- Increased processing for high-resolution switches
- Do stride=2 first in HalvingProcessingBlock
 2020-06-16 14:19:12 -06:00
James Betker
70c764b9d4 Create a configurable SwichedResidualGenerator 
Also move attention image generator out of repo
 2020-06-16 13:24:07 -06:00
James Betker
df1046c318 New arch: SwitchedResidualGenerator_arch 
The concept here is to use switching to split the generator into two functions:
interpretation and transformation. Transformation is done at the pixel level by
relatively simple conv layers, while interpretation is computed at various levels
by far more complicated conv stacks. The two are merged using the switching
mechanism.

This architecture is far less computationally intensive that RRDB.
 2020-06-16 11:23:50 -06:00
James Betker
ddfd7f67a0 Get rid of biggan 
Not really sure it's a great fit for what is being done here.
 2020-06-16 11:21:44 -06:00
James Betker
0a714e8451 Fix initialization in mhead switched rrdb 2020-06-15 21:32:03 -06:00
James Betker
be7982b9ae Add skip heads to switcher 
These pass through the input so that it can be selected by the attention mechanism.
 2020-06-14 12:46:54 -06:00
James Betker
6c27ddc9b5 Misc 2020-06-14 11:03:02 -06:00
James Betker
6c0e9f45c7 Add GPU mem tracing module 2020-06-14 11:02:54 -06:00
James Betker
48532a0a8a Fix initial_stride on lowdim models 2020-06-14 11:02:16 -06:00
James Betker
532704af40 Multiple modifications for experimental RRDB architectures 
- Add LowDimRRDB; essentially a "normal RRDB" but the RDB blocks process at a low dimension using PixelShuffle
- Add switching wrappers around it
- Add support for switching on top of multi-headed inputs and outputs
- Moves PixelUnshuffle to arch_util
 2020-06-13 11:37:27 -06:00
James Betker
e89f28ead0 Update multirrdb to do HR fixing in the base image dimension. 2020-06-11 08:43:39 -06:00
James Betker
d3b2cbfe7c Fix loading new state dicts for RRDB 2020-06-11 08:25:57 -06:00
James Betker
5ca53e7786 Add alternative first block for PixShuffleRRDB 2020-06-10 21:45:24 -06:00
James Betker
43b7fccc89 Fix mhead attention integration bug for RRDB 2020-06-10 12:02:33 -06:00
James Betker
12e8fad079 Add serveral new RRDB architectures 2020-06-09 13:28:55 -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
786a4288d6 Allow switched RRDBNet to record metrics and decay temperature 2020-06-08 11:10:38 -06:00
James Betker
ae3301c0ea SwitchedRRDB work 
Renames AttentiveRRDB to SwitchedRRDB. Moves SwitchedConv to
an external repo (neonbjb/switchedconv). Switchs RDB blocks instead
of conv blocks. Works good!
 2020-06-08 08:47:34 -06:00
James Betker
93528ff8df Merge branch 'gan_lab' of https://github.com/neonbjb/mmsr into gan_lab 2020-06-07 16:59:31 -06:00
James Betker
805bd129b7 Switched conv partial impl 2020-06-07 16:59:22 -06:00
James Betker
9e203d07c4 Merge remote-tracking branch 'origin/gan_lab' into gan_lab 2020-06-07 16:56:12 -06:00
James Betker
299d855b34 Enable forced learning rates 2020-06-07 16:56:05 -06:00
James Betker
efb5b3d078 Add switched_conv 2020-06-07 16:45:07 -06:00
James Betker
063719c5cc Fix attention conv bugs 2020-06-06 18:31:02 -06:00
James Betker
cbedd6340a Add RRDB with attention 2020-06-05 21:02:08 -06:00
James Betker
ef5d8a0ed1 Misc 2020-06-05 21:01:50 -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
edf0f8582e Fix rrdb bug 2020-06-02 11:15:55 -06:00
James Betker
dc17545083 Add RRDB Initial Stride 
Allows downsampling immediately before processing, which reduces network complexity on
higher resolution images but keeps a higher filter count.
 2020-06-02 10:47:15 -06:00
James Betker
76a38b6a53 Misc 2020-06-02 09:35:52 -06:00
James Betker
726d1913ac Allow validating in batches, remove val size limit 2020-06-02 08:41:22 -06:00
James Betker
90125f5bed Allow blurring to be specified 2020-06-02 08:40:52 -06:00
James Betker
8355f3d1b3 Only log discriminator data when gan is activated 2020-06-01 15:48:16 -06:00
James Betker
f1a1fd14b1 Introduce (untested) colab mode 2020-06-01 15:09:52 -06:00
James Betker
a38dd62489 Only train discriminator/gan losses when gan_w > 0 2020-06-01 15:09:10 -06:00
James Betker
1eb9c5a059 Fix grayscale 2020-05-29 22:04:50 -06:00
James Betker
2b03e40f98 Debug process_video 2020-05-29 20:44:50 -06:00
James Betker
74b313aaa9 Add grayscale downsampling option 2020-05-29 20:34:00 -06:00
James Betker
b123ed8a45 Add attention resnet 
Not ready for prime time, but is a first draft.
 2020-05-29 20:02:10 -06:00
James Betker
5e9da65d81 Fix process_video bugs 2020-05-29 12:47:22 -06:00
James Betker
beac71ad18 Allow minivids to start at any specified number 2020-05-28 20:27:42 -06:00
James Betker
57682ebee3 Separate feature extractors out, add resnet feature extractor 2020-05-28 20:26:30 -06:00
James Betker
156cee240a Remove reliance on magick, only wait for ffmpeg at last second, fix image ordering issue 2020-05-27 23:09:46 -06:00
James Betker
b551e86adb Encode videos to HEVC 
MP4 doesnt support 8K
 2020-05-27 20:04:45 -06:00
James Betker
bdeafad8c5 Only run 'convert' not magick 2020-05-27 17:24:10 -06:00
James Betker
41c1efbf56 Add dynamic video processing script 2020-05-27 17:09:11 -06:00
James Betker
f745be9dea Fix vgg disc arch 2020-05-27 13:31:22 -06:00
James Betker
6962ccb306 Adjust motion blur 
0 is invalid.
 2020-05-27 13:09:46 -06:00
James Betker
f6815df58b Misc 2020-05-27 08:04:47 -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
3c2e5a0250 Apply fixes to resgen 2020-05-24 07:43:23 -06:00
James Betker
446322754a Support generators that don't output intermediary values. 2020-05-23 21:09:54 -06:00
James Betker
987cdad0b6 Misc mods 2020-05-23 21:09:38 -06:00
James Betker
9b44f6f5c0 Add AssistedRRDB and remove RRDBNetXL 2020-05-23 21:09:21 -06:00
James Betker
445e7e7053 Extract subimages mod 2020-05-23 21:07:41 -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
af1968f9e5 Allow passthrough discriminator to have passthrough disabled from config 2020-05-19 09:41:16 -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
6400607fc5 ONNX export support 2020-05-19 09:36:04 -06:00
James Betker
89c71293ce IDEA update 2020-05-19 09:35:26 -06:00
James Betker
9cde58be80 Make RRDB usable in the current iteration 2020-05-16 18:36:30 -06:00
James Betker
b95c4087d1 Allow an alt_path for saving models and states 2020-05-16 09:10:51 -06:00
James Betker
f911ef0d3e Add corruptor_usage_probability 
Governs how often a corruptor is used, vs feeding uncorrupted images.
 2020-05-16 09:05:43 -06:00
James Betker
635c53475f Restore swapout models just before a checkpoint 2020-05-16 07:45:19 -06:00
James Betker
a33ec3e22b Fix skips & images samples 
- Makes skip connections between the generator and discriminator more
  extensible by adding additional configuration options for them and supporting
  1 and 0 skips.
- Places the temp/ directory with sample images from the training process appear
  in the training directory instead of the codes/ directory.
 2020-05-15 13:50:49 -06:00
James Betker
cdf641e3e2 Remove working options from repo 2020-05-15 07:50:55 -06:00
James Betker
bd4d478572 config changes 2020-05-15 07:41:18 -06:00
James Betker
79593803f2 biggan arch, initial work (not implemented) 2020-05-15 07:40:45 -06:00
James Betker
61ed51d9e4 Improve corruptor logic: switch corruptors randomly 2020-05-14 23:14:32 -06:00
James Betker
d72e154442 Allow more LQ than GT images in corrupt mode 2020-05-14 20:46:20 -06:00
James Betker
8a514b9645 Misc changes 2020-05-14 20:45:38 -06:00
James Betker
a946483f1c Fix discriminator noise floor 2020-05-14 20:45:06 -06:00
James Betker
c8ab89d243 Add model swapout 
Model swapout is a feature where, at specified intervals,
a random D and G model will be swapped in place for the
one being trained. After a short period of time, this model
is swapped back out. This is intended to increase training
diversity.
 2020-05-13 16:53:38 -06:00
James Betker
c336d32fd3 Config updates 2020-05-13 15:27:49 -06:00
James Betker
5bcf187fb6 Disable LMDB support 
It doesn't play nice with multiple dataroots and I don't
really see any need to continue support since I'm not
testing it.
 2020-05-13 15:27:33 -06:00
James Betker
e36f22e14a Allow "corruptor" network to be specified 
This network is just a fixed (pre-trained) generator
that performs a corruption transformation that the
generator-in-training is expected to undo alongside
SR.
 2020-05-13 15:26:55 -06:00
James Betker
f389025b53 Change ResGen noise feature 
It now injects noise directly into the input filters, rather than a
pure noise filter. The pure noise filter was producing really
poor results (and I'm honestly not quite sure why).
 2020-05-13 09:22:06 -06:00
James Betker
343af70a8d Add code for compiling model to torchscript 
I want to be able to export it to other formats too in the future.
 2020-05-13 09:21:13 -06:00
James Betker
585b05e66b Cap test workers at 10 2020-05-13 09:20:45 -06:00
James Betker
037a5a3cdb Config updates 2020-05-13 09:20:28 -06:00
James Betker
fc3ec8e3a2 Add a noise floor to th discriminator noise factor 2020-05-13 09:19:22 -06:00
James Betker
5d1b4caabf Allow noise to be injected at the generator inputs for resgen 2020-05-12 16:26:29 -06:00
James Betker
06d18343f7 Allow noise to be added to discriminator inputs 2020-05-12 16:25:38 -06:00
James Betker
9210a62f58 Add rotating log buffer to trainer 
Should stabilize stats output.
 2020-05-12 10:09:45 -06:00
James Betker
f217216c81 Implement ResGenv2 
Implements a ResGenv2 architecture which slightly increases the complexity
of the final output layer but causes it to be shared across all skip outputs.
 2020-05-12 10:09:15 -06:00
James Betker
1596a98493 Get rid of skip layers from vgg disc 2020-05-12 10:08:12 -06:00
James Betker
c540244789 Config file update 2020-05-12 10:07:58 -06:00
James Betker
62a97c53d1 Handle tuple-returning generators in test 2020-05-11 11:15:26 -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
ef48e819aa Allow resgen to have a conditional number of upsamples applied to it 2020-05-10 10:48:37 -06:00
James Betker
8969a3ce70 Add capability to start at arbitrary frames 2020-05-10 10:48:05 -06:00
James Betker
03351182be Use amp in SR_model for inference 2020-05-07 21:45:33 -06:00
James Betker
dbca0d328c Fix multi-lq bug 2020-05-06 23:16:35 -06:00
James Betker
aa0305def9 Resnet discriminator overhaul 
It's been a tough day figuring out WTH is going on with my discriminators.
It appears the raw FixUp discriminator can get into an "defective" state where
they stop trying to learn and just predict as close to "0" D_fake and D_real as
possible. In this state they provide no feedback to the generator and never
recover. Adding batch norm back in seems to fix this so it must be some sort
of parameterization error.. Should look into fixing this in the future.
 2020-05-06 17:27:30 -06:00
James Betker
602f86bfa4 Random config changes 2020-05-06 17:25:48 -06:00
James Betker
574e7e882b Fix up OOM issues when running a disjoint D update ratio and megabatches 2020-05-06 17:25:25 -06:00
James Betker
eee9d6d9ca Support skip connections in vgg arch discriminator. 2020-05-06 17:24:34 -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
3cd85f8073 Implement ResGen arch 
This is a simpler resnet-based generator which performs mutations
on an input interspersed with interpolate-upsampling. It is a two
part generator:
1) A component that "fixes" LQ images with a long string of resnet
    blocks. This component is intended to remove compression artifacts
    and other noise from a LQ image.
2) A component that can double the image size. The idea is that this
    component be trained so that it can work at most reasonable
    resolutions, such that it can be repeatedly applied to itself to
    perform multiple upsamples.

The motivation here is to simplify what is being done inside of RRDB.
I don't believe the complexity inside of that network is justified.
 2020-05-05 11:59:46 -06:00
James Betker
9f4581aacb Fix megabatch scaling, log low and med-res gen images 2020-05-05 08:34:57 -06:00
James Betker
3b4e54c4c5 Add support for passthrough disc/gen 
Add RRDBNetXL, which performs processing at multiple image sizes.
Add DiscResnet_passthrough, which allows passthrough of image at different sizes for discrimination.
Adjust the rest of the repo to allow generators that return more than just a single image.
 2020-05-04 14:01:43 -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
9c7debe75c Add colab option 2020-05-02 17:47:25 -06:00
James Betker
832f3587c5 Turn off EVDR (so we dont need the weird convs) 2020-05-02 17:47:14 -06:00
James Betker
8341bf7646 Enable megabatching 2020-05-02 17:46:59 -06:00
James Betker
61d3040cf5 Add doCrop into LQGT 2020-05-02 17:46:30 -06:00
James Betker
9e1acfe396 Fixup upconv for the next attempt! 2020-05-01 19:56:14 -06:00
James Betker
7eaabce48d Full resnet corrupt, no BN 
And it works! Thanks fixup..
 2020-04-30 19:17:30 -06:00
James Betker
03258445bc tblogger.. 2020-04-30 12:35:51 -06:00
James Betker
b6e036147a Add more batch norms to FlatProcessorNet_arch 2020-04-30 11:47:21 -06:00
James Betker
66e91a3d9e Revert "Enable skip-through connections from disc to gen" 
This reverts commit b7857f35c3.
 2020-04-30 11:45:07 -06:00
James Betker
f027e888ed Clear out tensorboard on job restart. 2020-04-30 11:44:53 -06:00
James Betker
b7857f35c3 Enable skip-through connections from disc to gen 2020-04-30 11:30:11 -06:00
James Betker
bf634fc9fa Make resnet w/ BN discriminator use leaky relus 2020-04-30 11:28:59 -06:00
James Betker
3781ea725c Add Resnet Discriminator with BN 2020-04-29 20:51:57 -06:00
James Betker
a5188bb7ca Remover fixup code from arch_util 
Going into it's own arch.
 2020-04-29 15:17:43 -06:00
James Betker
5b8a77f02c Discriminator part 1 
New discriminator. Includes spectral norming.
 2020-04-28 23:00:29 -06:00
James Betker
2c145c39b6 Misc changes 2020-04-28 11:50:16 -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
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
4f6d3f0dfb Enable AMP optimizations & write sample train images to folder. 2020-04-21 16:28:06 -06:00
PRAGMA
1fb12871fd
Create requirements.txt 2019-11-24 07:48:52 +00:00
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
866a858e59 add deform_conv_cuda_kernel.cu 2019-08-27 17:49:12 +08:00
XintaoWang
037933ba66 mmsr 2019-08-23 21:42:47 +08:00