|
1b489518d0
|
segmenter: add LayerStack2Image to custom_objects
|
2022-10-26 17:05:50 +01:00 |
|
|
48ae8a5c20
|
LossContrastive: normalise features as per the paper
|
2022-10-26 16:52:56 +01:00 |
|
|
843cc8dc7b
|
contrastive: rewrite the loss function.
The CLIP paper *does* kinda make sense I think
|
2022-10-26 16:45:45 +01:00 |
|
|
fad1399c2d
|
convnext: whitespace
|
2022-10-26 16:45:20 +01:00 |
|
|
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 |
|
|
f994d449f1
|
Layer2Image: fix
|
2022-10-25 21:32:17 +01:00 |
|
|
6a29105f56
|
model_segmentation: stack not reshape
|
2022-10-25 21:25:15 +01:00 |
|
|
98417a3e06
|
prepare for NCE loss
.....but Tensorflow's implementation looks to be for supervised models :-(
|
2022-10-25 21:15:05 +01:00 |
|
|
bb0679a509
|
model_segmentation: don't softmax twice
|
2022-10-25 21:11:48 +01:00 |
|
|
f2e2ca1484
|
model_contrastive: make water encoder significantly shallower
|
2022-10-24 20:52:31 +01:00 |
|
|
8195318a42
|
SparseCategoricalAccuracy: losses → metrics
|
2022-10-21 16:51:20 +01:00 |
|
|
c98d8d05dd
|
segmentation: use the right accuracy
|
2022-10-21 16:17:05 +01:00 |
|
|
3f7db6fa78
|
fix embedding confusion
|
2022-10-21 15:15:59 +01:00 |
|
|
b3ea189d37
|
segmentation: softmax the output
|
2022-10-13 21:02:57 +01:00 |
|
|
f121bfb981
|
fixup summaryfile
|
2022-10-13 17:54:42 +01:00 |
|
|
5c35c0cee4
|
model_segmentation: document; remove unused args
|
2022-10-13 17:50:16 +01:00 |
|
|
f12e6ab905
|
No need for a CLI arg for feature_dim_in - metadata should contain this
|
2022-10-13 17:37:16 +01:00 |
|
|
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 |
|
|
32f5200d3b
|
pass model_arch properly
|
2022-10-12 16:50:06 +01:00 |
|
|
c45b90764e
|
segmentation: adds xxtiny, but unsure if it's small enough
|
2022-10-11 19:22:37 +01:00 |
|
|
11f91a7cf4
|
train: add --arch; default to convnext_i_xtiny
|
2022-10-11 19:18:01 +01:00 |
|
|
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 |
|
|
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 |
|