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0e814b7e98
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Contraster → Segmenter
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2022-10-21 14:25:43 +01:00 |
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1b658a1b7c
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train-predict: can't destructure array when iterating generator
....it seems to lead to undefined behaviour or something
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2022-10-20 19:34:04 +01:00 |
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aed2348a95
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train_predict: fixup
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2022-10-20 15:42:33 +01:00 |
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cc6679c609
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batch data; use generator
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2022-10-20 15:22:29 +01:00 |
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d306853c42
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use right daataset
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2022-10-20 15:16:24 +01:00 |
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59cfa4a89a
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basename paths
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2022-10-20 15:11:14 +01:00 |
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4d8ae21a45
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update cli help text
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2022-10-19 17:31:42 +01:00 |
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200076596b
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finish train_predict
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2022-10-19 17:26:40 +01:00 |
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488f78fca5
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pretrain_predict: default to parallel_reads=0
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2022-10-19 16:59:45 +01:00 |
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63e909d9fc
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datasets: add shuffle=True/False to get_filepaths.
This is important because otherwise it SCAMBLES the filenames, which is a disaster for making predictions in the right order....!
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2022-10-19 16:52:07 +01:00 |
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fe43ddfbf9
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start implementing driver for train_predict, but not finished yet
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2022-10-18 19:37:55 +01:00 |
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b3ea189d37
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segmentation: softmax the output
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2022-10-13 21:02:57 +01:00 |
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f121bfb981
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fixup summaryfile
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2022-10-13 17:54:42 +01:00 |
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5c35c0cee4
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model_segmentation: document; remove unused args
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2022-10-13 17:50:16 +01:00 |
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f12e6ab905
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No need for a CLI arg for feature_dim_in - metadata should contain this
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2022-10-13 17:37:16 +01:00 |
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e201372252
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write quick Jupyter notebook to test data
....I'm paranoid
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2022-10-13 17:27:17 +01:00 |
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ae53130e66
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layout
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2022-10-13 14:54:20 +01:00 |
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7933564c66
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typo
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2022-10-12 17:33:54 +01:00 |
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dbe4fb0eab
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train: add slurm job file
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2022-10-12 17:27:10 +01:00 |
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6423bf6702
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LayerConvNeXtGamma: avoid adding an EagerTensor to config
Very weird how this is a problem when it wasn't before..
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2022-10-12 17:12:07 +01:00 |
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32f5200d3b
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pass model_arch properly
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2022-10-12 16:50:06 +01:00 |
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5933fb1061
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fixup
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2022-10-11 19:23:41 +01:00 |
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c45b90764e
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segmentation: adds xxtiny, but unsure if it's small enough
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2022-10-11 19:22:37 +01:00 |
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f4a2c742d9
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typo
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2022-10-11 19:19:23 +01:00 |
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11f91a7cf4
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train: add --arch; default to convnext_i_xtiny
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2022-10-11 19:18:01 +01:00 |
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5666c5a0d9
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typo
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2022-10-10 18:12:51 +01:00 |
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131c0a0a5b
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pretrain-predict: create dir if not exists
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2022-10-10 18:00:55 +01:00 |
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deede32241
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slurm-pretrain: limit memory usage
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2022-10-10 17:45:29 +01:00 |
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13a8f3f511
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pretrain-predict: only queue pretrain-plot if I we output jsonl
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2022-10-10 17:11:10 +01:00 |
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ffcb2e3735
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pretrain-predict: queue for the actual input
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2022-10-10 16:53:28 +01:00 |
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f883986eaa
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Bugfix: modeset to enable TFRecordWriter instead of bare handle
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2022-10-06 20:07:59 +01:00 |
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e9a8e2eb57
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fixup
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2022-10-06 19:23:31 +01:00 |
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9f3ae96894
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finish wiring for --water-size
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2022-10-06 19:21:50 +01:00 |
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5dac70aa08
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typo
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2022-10-06 19:17:03 +01:00 |
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2960d3b645
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exception → warning
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2022-10-06 18:26:40 +01:00 |
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0ee6703c1e
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Add todo and comment
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2022-10-03 19:06:56 +01:00 |
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2b182214ea
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typo
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2022-10-03 17:53:10 +01:00 |
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92c380bff5
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fiddle with Conv2DTranspose
you need to set the `stride` argument to actually get it to upscale..... :P
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2022-10-03 17:51:41 +01:00 |
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d544553800
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fixup
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2022-10-03 17:33:06 +01:00 |
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058e3b6248
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model_segmentation: cast float → int
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2022-10-03 17:31:36 +01:00 |
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04e5ae0c45
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model_segmentation: redo reshape
much cheese was applied :P
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2022-10-03 17:27:52 +01:00 |
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deffe69202
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typo
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2022-10-03 16:59:36 +01:00 |
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fc6d2dabc9
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Upscale first, THEN convnext...
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2022-10-03 16:38:43 +01:00 |
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6a0790ff50
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convnext_inverse: add returns; change ordering
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2022-10-03 16:32:09 +01:00 |
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fe813cb46d
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slurm predict: fix plotting subcall
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2022-10-03 16:03:26 +01:00 |
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e51087d0a9
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add reshape layer
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2022-09-28 18:22:48 +01:00 |
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a336cdee90
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and continues
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2022-09-28 18:18:10 +01:00 |
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de47a883d9
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missing units
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2022-09-28 18:17:22 +01:00 |
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b5e08f92fe
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the long night continues
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2022-09-28 18:14:09 +01:00 |
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dc159ecfdb
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and again
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2022-09-28 18:11:46 +01:00 |
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