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172cf9d8ce
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tweak
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2022-10-31 18:19:43 +00:00 |
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dbe35ee943
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loss: comment l2 norm
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2022-10-31 18:09:03 +00:00 |
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5e60319024
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fixup
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2022-10-31 17:56:49 +00:00 |
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b986b069e2
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debug party time
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2022-10-31 17:50:29 +00:00 |
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458faa96d2
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loss: fixup
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2022-10-31 17:18:21 +00:00 |
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55dc05e8ce
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contrastive: comment weights that aren't needed
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2022-10-31 16:26:48 +00:00 |
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1b489518d0
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segmenter: add LayerStack2Image to custom_objects
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2022-10-26 17:05:50 +01:00 |
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48ae8a5c20
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LossContrastive: normalise features as per the paper
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2022-10-26 16:52:56 +01:00 |
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843cc8dc7b
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contrastive: rewrite the loss function.
The CLIP paper *does* kinda make sense I think
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2022-10-26 16:45:45 +01:00 |
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fad1399c2d
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convnext: whitespace
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2022-10-26 16:45:20 +01:00 |
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1d872cb962
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contrastive: fix initial temperature value
It should be 1/0.07, but we had it set to 0.07......
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2022-10-26 16:45:01 +01:00 |
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f994d449f1
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Layer2Image: fix
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2022-10-25 21:32:17 +01:00 |
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6a29105f56
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model_segmentation: stack not reshape
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2022-10-25 21:25:15 +01:00 |
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98417a3e06
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prepare for NCE loss
.....but Tensorflow's implementation looks to be for supervised models :-(
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2022-10-25 21:15:05 +01:00 |
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bb0679a509
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model_segmentation: don't softmax twice
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2022-10-25 21:11:48 +01:00 |
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f2e2ca1484
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model_contrastive: make water encoder significantly shallower
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2022-10-24 20:52:31 +01:00 |
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8195318a42
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SparseCategoricalAccuracy: losses → metrics
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2022-10-21 16:51:20 +01:00 |
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c98d8d05dd
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segmentation: use the right accuracy
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2022-10-21 16:17:05 +01:00 |
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3f7db6fa78
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fix embedding confusion
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2022-10-21 15:15:59 +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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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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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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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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5dac70aa08
|
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
|
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
|
fixup
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2022-10-03 17:33:06 +01:00 |
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058e3b6248
|
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
|
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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e51087d0a9
|
add reshape layer
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2022-09-28 18:22:48 +01:00 |
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a336cdee90
|
and continues
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2022-09-28 18:18:10 +01:00 |
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de47a883d9
|
missing units
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2022-09-28 18:17:22 +01:00 |
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b5e08f92fe
|
the long night continues
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2022-09-28 18:14:09 +01:00 |
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030d8710b6
|
fixup
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2022-09-28 18:08:31 +01:00 |
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4ee7f2a0d6
|
add water thresholding
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2022-09-28 18:07:26 +01:00 |
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e9e6139c7a
|
typo
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2022-09-28 16:28:18 +01:00 |
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d6ff3fb2ce
|
pretrain_predict fix write mode
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2022-09-27 17:38:12 +01:00 |
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f95fd8f9e4
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pretrain-predict: add .tfrecord output function
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2022-09-27 16:59:31 +01:00 |
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30b8dd063e
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fixup
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2022-09-27 15:54:37 +01:00 |
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3cf99587e4
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Contraster: add gamma layer to load_model
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2022-09-27 15:53:52 +01:00 |
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1e35802d2b
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ai: fix embed i/o
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2022-09-16 16:02:27 +01:00 |
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