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dbe35ee943
|
loss: comment l2 norm
|
2022-10-31 18:09:03 +00:00 |
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5e60319024
|
fixup
|
2022-10-31 17:56:49 +00:00 |
|
|
b986b069e2
|
debug party time
|
2022-10-31 17:50:29 +00:00 |
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458faa96d2
|
loss: fixup
|
2022-10-31 17:18:21 +00:00 |
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55dc05e8ce
|
contrastive: comment weights that aren't needed
|
2022-10-31 16:26:48 +00:00 |
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1b489518d0
|
segmenter: add LayerStack2Image to custom_objects
|
2022-10-26 17:05:50 +01:00 |
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48ae8a5c20
|
LossContrastive: normalise features as per the paper
|
2022-10-26 16:52:56 +01:00 |
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843cc8dc7b
|
contrastive: rewrite the loss function.
The CLIP paper *does* kinda make sense I think
|
2022-10-26 16:45:45 +01:00 |
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fad1399c2d
|
convnext: whitespace
|
2022-10-26 16:45:20 +01:00 |
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1d872cb962
|
contrastive: fix initial temperature value
It should be 1/0.07, but we had it set to 0.07......
|
2022-10-26 16:45:01 +01:00 |
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f994d449f1
|
Layer2Image: fix
|
2022-10-25 21:32:17 +01:00 |
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6a29105f56
|
model_segmentation: stack not reshape
|
2022-10-25 21:25:15 +01:00 |
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98417a3e06
|
prepare for NCE loss
.....but Tensorflow's implementation looks to be for supervised models :-(
|
2022-10-25 21:15:05 +01:00 |
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bb0679a509
|
model_segmentation: don't softmax twice
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2022-10-25 21:11:48 +01:00 |
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f2e2ca1484
|
model_contrastive: make water encoder significantly shallower
|
2022-10-24 20:52:31 +01:00 |
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8195318a42
|
SparseCategoricalAccuracy: losses → metrics
|
2022-10-21 16:51:20 +01:00 |
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c98d8d05dd
|
segmentation: use the right accuracy
|
2022-10-21 16:17:05 +01:00 |
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3f7db6fa78
|
fix embedding confusion
|
2022-10-21 15:15:59 +01:00 |
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b3ea189d37
|
segmentation: softmax the output
|
2022-10-13 21:02:57 +01:00 |
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f121bfb981
|
fixup summaryfile
|
2022-10-13 17:54:42 +01:00 |
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5c35c0cee4
|
model_segmentation: document; remove unused args
|
2022-10-13 17:50:16 +01:00 |
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f12e6ab905
|
No need for a CLI arg for feature_dim_in - metadata should contain this
|
2022-10-13 17:37:16 +01:00 |
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6423bf6702
|
LayerConvNeXtGamma: avoid adding an EagerTensor to config
Very weird how this is a problem when it wasn't before..
|
2022-10-12 17:12:07 +01:00 |
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32f5200d3b
|
pass model_arch properly
|
2022-10-12 16:50:06 +01:00 |
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c45b90764e
|
segmentation: adds xxtiny, but unsure if it's small enough
|
2022-10-11 19:22:37 +01:00 |
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11f91a7cf4
|
train: add --arch; default to convnext_i_xtiny
|
2022-10-11 19:18:01 +01:00 |
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|
5dac70aa08
|
typo
|
2022-10-06 19:17:03 +01:00 |
|
|
2960d3b645
|
exception → warning
|
2022-10-06 18:26:40 +01:00 |
|
|
0ee6703c1e
|
Add todo and comment
|
2022-10-03 19:06:56 +01:00 |
|
|
2b182214ea
|
typo
|
2022-10-03 17:53:10 +01:00 |
|
|
92c380bff5
|
fiddle with Conv2DTranspose
you need to set the `stride` argument to actually get it to upscale..... :P
|
2022-10-03 17:51:41 +01:00 |
|
|
d544553800
|
fixup
|
2022-10-03 17:33:06 +01:00 |
|
|
058e3b6248
|
model_segmentation: cast float → int
|
2022-10-03 17:31:36 +01:00 |
|
|
04e5ae0c45
|
model_segmentation: redo reshape
much cheese was applied :P
|
2022-10-03 17:27:52 +01:00 |
|
|
deffe69202
|
typo
|
2022-10-03 16:59:36 +01:00 |
|
|
fc6d2dabc9
|
Upscale first, THEN convnext...
|
2022-10-03 16:38:43 +01:00 |
|
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6a0790ff50
|
convnext_inverse: add returns; change ordering
|
2022-10-03 16:32:09 +01:00 |
|
|
e51087d0a9
|
add reshape layer
|
2022-09-28 18:22:48 +01:00 |
|
|
a336cdee90
|
and continues
|
2022-09-28 18:18:10 +01:00 |
|
|
de47a883d9
|
missing units
|
2022-09-28 18:17:22 +01:00 |
|
|
b5e08f92fe
|
the long night continues
|
2022-09-28 18:14:09 +01:00 |
|
|
030d8710b6
|
fixup
|
2022-09-28 18:08:31 +01:00 |
|
|
4ee7f2a0d6
|
add water thresholding
|
2022-09-28 18:07:26 +01:00 |
|
|
e9e6139c7a
|
typo
|
2022-09-28 16:28:18 +01:00 |
|
|
d6ff3fb2ce
|
pretrain_predict fix write mode
|
2022-09-27 17:38:12 +01:00 |
|
|
f95fd8f9e4
|
pretrain-predict: add .tfrecord output function
|
2022-09-27 16:59:31 +01:00 |
|
|
30b8dd063e
|
fixup
|
2022-09-27 15:54:37 +01:00 |
|
|
3cf99587e4
|
Contraster: add gamma layer to load_model
|
2022-09-27 15:53:52 +01:00 |
|
|
1e35802d2b
|
ai: fix embed i/o
|
2022-09-16 16:02:27 +01:00 |
|
|
ed94da7492
|
fixup
|
2022-09-16 15:51:26 +01:00 |
|
|
e333dcba9c
|
tweak projection head
|
2022-09-16 15:36:01 +01:00 |
|
|
e3c8277255
|
ai: tweak the segmentation model structure
|
2022-09-15 19:54:50 +01:00 |
|
|
bd64986332
|
ai: implement batched_iterator to replace .batch()
...apparently .batch() means you get a BatchedDataset or whatever when you iterate it like a tf.function instead of the actual tensor :-/
|
2022-09-15 19:16:38 +01:00 |
|
|
ccd256c00a
|
embed rainfall radar, not both
|
2022-09-15 17:37:04 +01:00 |
|
|
2c74676902
|
predict → predict_on_batch
|
2022-09-15 17:31:50 +01:00 |
|
|
8770638022
|
ai: call .predict(), not the model itself
|
2022-09-14 17:41:01 +01:00 |
|
|
a96cefde62
|
ai: predict oops
|
2022-09-14 17:37:48 +01:00 |
|
|
279e27c898
|
fixup
|
2022-09-14 17:16:49 +01:00 |
|
|
fad3313ede
|
fixup
|
2022-09-14 17:14:04 +01:00 |
|
|
1e682661db
|
ai: kwargs in from_checkpoint
|
2022-09-14 17:11:06 +01:00 |
|
|
6bda24d4da
|
ai: how did I miss that?!
bugfix ah/c
|
2022-09-14 16:53:43 +01:00 |
|
|
decdd434d8
|
ai from_checkpoint: bugfix
|
2022-09-14 16:49:01 +01:00 |
|
|
7685ec3e8b
|
implement ability to embed & plot pretrained embeddings
|
2022-09-13 19:18:59 +01:00 |
|
|
7130c4fdf8
|
start implementing core image segmentation model
|
2022-09-07 17:45:38 +01:00 |
|
|
22620a1854
|
ai: implement saving only the rainfall encoder
|
2022-09-06 19:48:46 +01:00 |
|
|
3e13ad12c8
|
ai Bugfix LayerContrastiveEncoder: channels → input_channels
for consistency
|
2022-09-05 23:53:16 +01:00 |
|
|
1d1533d160
|
ai: how did things get this confusing
|
2022-09-02 18:51:46 +01:00 |
|
|
1c5defdcd6
|
ai: cats
|
2022-09-02 18:45:23 +01:00 |
|
|
c33c0a0899
|
ai: these shapes are so annoying
|
2022-09-02 18:39:24 +01:00 |
|
|
efe41b96ec
|
fixup
|
2022-09-02 17:58:02 +01:00 |
|
|
f8ee0afca1
|
ai: fix arch_name plumbing
|
2022-09-02 17:57:07 +01:00 |
|
|
3e0ca6a315
|
ai: fix summary file writing; make water encoder smaller
|
2022-09-02 17:51:45 +01:00 |
|
|
389216b391
|
reordering
|
2022-09-02 17:31:19 +01:00 |
|
|
b9d01ddadc
|
summary logger → summarywriter
|
2022-09-02 17:28:00 +01:00 |
|
|
8a86728b54
|
ai: how did I miss that
|
2022-09-01 18:07:53 +01:00 |
|
|
b2f1ba29bb
|
debug a
|
2022-09-01 18:05:33 +01:00 |
|
|
2663123407
|
moar logging
|
2022-09-01 17:40:23 +01:00 |
|
|
c2fcb3b954
|
ai: channels_first → channels_last
|
2022-09-01 17:06:18 +01:00 |
|
|
f1d7973f22
|
ai: add dummy label
|
2022-09-01 17:01:00 +01:00 |
|
|
17d42fe899
|
ai: json.dumps
|
2022-09-01 16:21:52 +01:00 |
|
|
940f7aa1b5
|
ai: set self.model
|
2022-09-01 16:20:23 +01:00 |
|
|
f1be5fe2bd
|
ai: add missing arguments to LossContrastive
|
2022-09-01 16:14:00 +01:00 |
|
|
ddb375e906
|
ai: another typo
|
2022-09-01 16:12:05 +01:00 |
|
|
cb3e1d3a23
|
ai: fixup
|
2022-09-01 16:10:50 +01:00 |
|
|
e4c95bc7e3
|
typo
|
2022-09-01 16:09:24 +01:00 |
|
|
cfbbe8e8cf
|
ai: global? really?
|
2022-09-01 16:06:24 +01:00 |
|
|
4952ead094
|
ai: try the nonlocal keyword? I'm unsure what's going on here
....clearly I need to read up on scoping in python.
|
2022-09-01 16:02:37 +01:00 |
|
|
8bdded23eb
|
ai: fix 'nother crash' name ConvNeXt submodels
|
2022-08-31 18:57:27 +01:00 |
|
|
b2a320134e
|
ai: typo
|
2022-08-31 18:54:03 +01:00 |
|
|
e4edc68df5
|
ai: add missing gamma layer
|
2022-08-31 18:52:35 +01:00 |
|
|
51cf08a386
|
ResNetRSV2 → ConvNeXt
ironically this makes the model simpler o/
|
2022-08-31 18:51:01 +01:00 |
|
|
3d614d105b
|
channels first
|
2022-08-31 18:06:59 +01:00 |
|
|
654eefd9ca
|
properly handle water dimensions; add log files to .gitignore
TODO: add heightmap
|
2022-08-31 18:03:39 +01:00 |
|
|
5846828f9e
|
debug logging
|
2022-08-31 17:48:09 +01:00 |
|
|
12c77e128d
|
handle feature_dim properly
|
2022-08-31 17:41:51 +01:00 |
|
|
c52a9f961c
|
and another
|
2022-08-31 17:37:28 +01:00 |
|
|
15a3519107
|
ai: the best thing about implementing a model is that you don't have to test it on the same day :P
|
2022-08-11 18:26:28 +01:00 |
|
|
c0a9cb12d8
|
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
|
2022-08-10 19:03:25 +01:00 |
|