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9 Commits

Author SHA1 Message Date
Augusto de la Torre 0716c40ab6 Add support for enhanced dataset configuration 
Add support for:
* flip_p.txt
* cond_dropout.txt
* local.yaml consolidated config (including default captions)
* global.yaml consolidated config which applies recursively to subfolders
* flip_p, and cond_dropout config per image
* manifest.json with full image-level configuration
 2023-03-08 15:02:14 +01:00
Augusto de la Torre 79bcd44bed Add docker build action 
And also a VS Code dev container
 2023-02-23 02:02:56 +01:00
Joel Holdbrooks 09d95fac58 Add test for list data resolver 2023-01-29 17:21:12 -08:00
Joel Holdbrooks 326d861a86 Push DLMA into main, pass config to resolve 
This patch

* passes the configuration (`argparse.Namespace`) to the resolver,
* pushes the DLMA code into the main function,
* makes DLMA take a `list[ImageTrainItem]` instead of `data_root`,
* makes `EveryDreamBatch` take `DLMA` instead of `data_root`, etc.
* allows `data_root` to be a list.

By doing these things, both `EveryDreamBatch` and DLMA can be free from
data resolution logic. It also reduces the number of arguments which
need to be passed down to EDB and DLMA.
 2023-01-29 17:08:54 -08:00
Joel Holdbrooks 620b157e6a Fix some name errors 2023-01-23 16:57:02 -08:00
Joel Holdbrooks 685bada570 Update tests 2023-01-23 12:15:35 -08:00
Joel Holdbrooks 4e6c5f4d00 Get rid of on_event callback 2023-01-22 23:58:25 -08:00
Joel Holdbrooks 914a51b057 Add data.resolver module for training data resolution 2023-01-22 22:46:04 -08:00
Joel Holdbrooks f4f684a915 Add unit tests for data.image_train_item 2023-01-22 22:43:59 -08:00