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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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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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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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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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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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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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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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7130c4fdf8
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start implementing core image segmentation model
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2022-09-07 17:45:38 +01:00 |
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22620a1854
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ai: implement saving only the rainfall encoder
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2022-09-06 19:48:46 +01:00 |
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3e13ad12c8
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ai Bugfix LayerContrastiveEncoder: channels → input_channels
for consistency
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2022-09-05 23:53:16 +01:00 |
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efe41b96ec
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fixup
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2022-09-02 17:58:02 +01:00 |
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f8ee0afca1
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ai: fix arch_name plumbing
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2022-09-02 17:57:07 +01:00 |
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b9d01ddadc
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summary logger → summarywriter
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2022-09-02 17:28:00 +01:00 |
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b2f1ba29bb
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debug a
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2022-09-01 18:05:33 +01:00 |
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2663123407
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moar logging
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2022-09-01 17:40:23 +01:00 |
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f1d7973f22
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ai: add dummy label
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2022-09-01 17:01:00 +01:00 |
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e4c95bc7e3
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typo
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2022-09-01 16:09:24 +01:00 |
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cfbbe8e8cf
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ai: global? really?
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2022-09-01 16:06:24 +01:00 |
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4952ead094
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ai: try the nonlocal keyword? I'm unsure what's going on here
....clearly I need to read up on scoping in python.
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2022-09-01 16:02:37 +01:00 |
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8bdded23eb
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ai: fix 'nother crash' name ConvNeXt submodels
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2022-08-31 18:57:27 +01:00 |
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b2a320134e
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ai: typo
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2022-08-31 18:54:03 +01:00 |
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e4edc68df5
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ai: add missing gamma layer
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2022-08-31 18:52:35 +01:00 |
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51cf08a386
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ResNetRSV2 → ConvNeXt
ironically this makes the model simpler o/
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2022-08-31 18:51:01 +01:00 |
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3d614d105b
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channels first
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2022-08-31 18:06:59 +01:00 |
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c0a9cb12d8
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ai: start creating initial model implementation.
it's not hooked up to the CLI yet though.
Focus is still on ensuring the dataset is in the right format though
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2022-08-10 19:03:25 +01:00 |
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