mrq/DL-Art-School
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43 Commits

Author SHA1 Message Date
James Betker
d875ca8342 More refactor changes 2020-12-18 09:24:31 -07:00
James Betker
5640e4efe4 More refactoring 2020-12-18 09:18:34 -07:00
James Betker
b905b108da Large cleanup 
Removed a lot of old code that I won't be touching again. Refactored some
code elements into more logical places.
 2020-12-18 09:10:44 -07:00
James Betker
2f0a52b7db misc changes 2020-12-18 08:53:45 -07:00
James Betker
0cf52ef52c latent work 2020-11-06 20:38:23 -07:00
James Betker
658a267bab More work on SSIM/PSNR approximators 
- Add a network that accomodates this style of approximator while retaining structure
- Migrate to SSIM approximation
- Add a tool to visualize how these approximators are working
- Fix some issues that came up while doign this work
 2020-11-03 08:09:58 -07:00
James Betker
74738489b9 Fixes and additional support for progressive zoom 2020-10-30 09:59:54 -06:00
James Betker
515905e904 Add a min_loss that is DDP compatible 2020-10-28 15:46:59 -06:00
James Betker
9848f4c6cb Add teco_resgen 2020-10-27 20:59:55 -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
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
61e5047c60 Fix loss accumulator when buffers are not filled 
They were reporting incorrect losses.
 2020-10-09 19:47:59 -06:00
James Betker
a62a5dbb5f Clone and detach in recursively_detach 2020-10-07 12:41:00 -06:00
James Betker
4290918359 Add distributed_checkpoint for more efficient checkpoints 2020-10-06 20:38:38 -06:00
James Betker
fc396baf1a Move loaded_options to util 
Doesn't seem to work with python 3.6
 2020-10-03 20:29:06 -06:00
James Betker
2d8e9a9d30 Options fix? 2020-10-03 20:27:12 -06:00
James Betker
35731502c3 Fix checkpoint recursion 2020-10-03 12:52:50 -06:00
James Betker
b2b81b13a4 Remove recursive utils import 2020-10-03 11:30:05 -06:00
James Betker
19a4075e1e Allow checkpointing to be disabled in the options file 
Also makes options a global variable for usage in utils.
 2020-10-03 11:03:28 -06:00
James Betker
dd9d7b27ac Add more sophisticated mechanism for balancing GAN losses 2020-10-02 22:53:42 -06:00
James Betker
aeaf185314 Add RCAN 2020-09-27 16:00:41 -06:00
James Betker
bde35ced47 Fix recursive detach 2020-09-20 19:08:13 -06:00
James Betker
e9a39bfa14 Recursively detach all outputs, even if they are nested in data structures 2020-09-19 21:47:34 -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
f40545f235 ExtensibleTrainer work 2020-08-22 08:24:34 -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
dbf6147504 Add switched discriminator 
The logic is that the discriminator may be incapable of providing a truly
targeted loss for all image regions since it has to be too generic
(basically the same argument for the switched generator). So add some
switches in! See how it works!
 2020-07-22 20:52:59 -06:00
James Betker
e3adafbeac Add convert_model.py and a hacky way to add extra layers to a model 2020-07-22 11:39:45 -06:00
James Betker
8d061a2687 Add u-net discriminator with feature output 2020-07-16 10:10:09 -06:00
James Betker
7659bd6818 Fix temperature equation 2020-07-14 10:17:14 -06:00
James Betker
1b1431133b Add DualOutputSRG 
Also removes the old multi-return mechanism that Generators support.
Also fixes AttentionNorm.
 2020-07-14 09:28:24 -06:00
James Betker
14d23b9d20 Fixes, do fake swaps less often in pixgan discriminator 2020-07-11 21:22:11 -06:00
James Betker
5e8b52f34c Misc changes 2020-07-10 09:45:48 -06:00
James Betker
5f2c722a10 SRG2 revival 
Big update to SRG2 architecture to pull in a lot of things that have been learned:
- Use group norm instead of batch norm
- Initialize the weights on the transformations low like is done in RRDB rather than using the scalar. Models live or die by their early stages, and this ones early stage is pretty weak
- Transform multiplexer to use u-net like architecture.
- Just use one set of configuration variables instead of a list - flat networks performed fine in this regard.
 2020-07-09 17:34:51 -06:00
James Betker
8a4eb8241d SRG3 work 
Operates on top of a pre-trained SpineNET backbone (trained on CoCo 2017 with RetinaNet)

This variant is extremely shallow.
 2020-07-07 13:46:40 -06:00
James Betker
d4d4f85fc0 Bug fixes 2020-07-06 22:25:40 -06:00
James Betker
60c6352843 Misc 2020-07-06 20:44:07 -06:00
James Betker
510b2f887d Remove RDB from srg2 
Doesnt seem to work so great.
 2020-07-03 22:31:20 -06:00
James Betker
703dec4472 Add SpineNet & integrate with SRG 
New version of SRG uses SpineNet for a switch backbone.
 2020-07-03 12:07:31 -06:00
James Betker
ee6443ad7d Add numeric stability computation script 2020-07-01 11:30:34 -06:00
James Betker
6c0e9f45c7 Add GPU mem tracing module 2020-06-14 11:02:54 -06:00
James Betker
f1a1fd14b1 Introduce (untested) colab mode 2020-06-01 15:09:52 -06:00
XintaoWang
037933ba66 mmsr 2019-08-23 21:42:47 +08:00