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121 commits

Author SHA1 Message Date
Starbeamrainbowlabs f48473b703
fixup 2022-11-28 19:00:11 +00:00
Starbeamrainbowlabs f6feb125e3
this iss ome serious debugging. 
This commit will produce an extremely large volume of output.
 2022-11-28 18:57:41 +00:00
Starbeamrainbowlabs 09f81b0746
train_mono: debug 
this commit will generate a large amount of debug output.
 2022-11-28 16:46:17 +00:00
Starbeamrainbowlabs f39e4ade70
LayerConvNextGamma: fix config serialisation bug 
.....this is unlikely to be the problem as this bug is in an unused code path.
 2022-11-25 21:16:31 +00:00
Starbeamrainbowlabs 3a0356929c
mono: drop the sparse 2022-11-22 16:20:56 +00:00
Starbeamrainbowlabs 527b34942d
convnext_inverse: kernel_size 4→2 2022-11-11 19:29:37 +00:00
Starbeamrainbowlabs 0662d0854b
model_mono: fix bottleneck 2022-11-11 19:11:40 +00:00
Starbeamrainbowlabs 73acda6d9a
fix debug logging 2022-11-11 19:08:38 +00:00
Starbeamrainbowlabs 9da059d738
model shape logging 2022-11-11 19:03:37 +00:00
Starbeamrainbowlabs 54ae88b1b4
in this entire blasted project I have yet to get the rotation of anything correct....! 2022-11-11 18:58:45 +00:00
Starbeamrainbowlabs a7a475dcd1
debug 2 2022-11-11 18:38:07 +00:00
Starbeamrainbowlabs bf2f6e9b64
debug logging 
it begins again
 2022-11-11 18:31:40 +00:00
Starbeamrainbowlabs 9035450213
mono: instantiate right model 2022-11-11 18:28:29 +00:00
Starbeamrainbowlabs 3313f77c88
Add (untested) mono rainfall → water depth model 
* sighs *
Unfortunately I can't seem to get contrastive learning to work.....
 2022-11-10 22:36:11 +00:00
Starbeamrainbowlabs 9384b89165
model_segmentation: spare → normal crossentropy, activation functions at end 2022-11-10 20:53:37 +00:00
Starbeamrainbowlabs b6676e7361
switch from sparse to normal crossentropy 2022-11-10 20:50:56 +00:00
Starbeamrainbowlabs 44ad51f483
CallbackNBatchCsv: bugfix .sort() → sorted() 2022-11-04 16:40:21 +00:00
Starbeamrainbowlabs 1375201c5f
CallbackNBatchCsv: open_handle mode 2022-11-03 18:29:00 +00:00
Starbeamrainbowlabs f2ae74ce7b
how could I be so stupid..... round 2 2022-11-02 17:38:26 +00:00
Starbeamrainbowlabs 5f8d6dc6ea
Add metrics every 64 batches 
this is important, because with large batches it can be difficult to tell what's happening inside each epoch.
 2022-10-31 19:26:10 +00:00
Starbeamrainbowlabs cf872ef739
how could I be so *stupid*...... 2022-10-31 18:40:58 +00:00
Starbeamrainbowlabs da32d75778
make_callbacks: display steps, not samples 2022-10-31 18:36:28 +00:00
Starbeamrainbowlabs 172cf9d8ce
tweak 2022-10-31 18:19:43 +00:00
Starbeamrainbowlabs dbe35ee943
loss: comment l2 norm 2022-10-31 18:09:03 +00:00
Starbeamrainbowlabs 5e60319024
fixup 2022-10-31 17:56:49 +00:00
Starbeamrainbowlabs b986b069e2
debug party time 2022-10-31 17:50:29 +00:00
Starbeamrainbowlabs 458faa96d2
loss: fixup 2022-10-31 17:18:21 +00:00
Starbeamrainbowlabs 55dc05e8ce
contrastive: comment weights that aren't needed 2022-10-31 16:26:48 +00:00
Starbeamrainbowlabs 1b489518d0
segmenter: add LayerStack2Image to custom_objects 2022-10-26 17:05:50 +01:00
Starbeamrainbowlabs 48ae8a5c20
LossContrastive: normalise features as per the paper 2022-10-26 16:52:56 +01:00
Starbeamrainbowlabs 843cc8dc7b
contrastive: rewrite the loss function. 
The CLIP paper *does* kinda make sense I think
 2022-10-26 16:45:45 +01:00
Starbeamrainbowlabs fad1399c2d
convnext: whitespace 2022-10-26 16:45:20 +01:00
Starbeamrainbowlabs 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
Starbeamrainbowlabs f994d449f1
Layer2Image: fix 2022-10-25 21:32:17 +01:00
Starbeamrainbowlabs 6a29105f56
model_segmentation: stack not reshape 2022-10-25 21:25:15 +01:00
Starbeamrainbowlabs 98417a3e06
prepare for NCE loss 
.....but Tensorflow's implementation looks to be for supervised models :-(
 2022-10-25 21:15:05 +01:00
Starbeamrainbowlabs bb0679a509
model_segmentation: don't softmax twice 2022-10-25 21:11:48 +01:00
Starbeamrainbowlabs f2e2ca1484
model_contrastive: make water encoder significantly shallower 2022-10-24 20:52:31 +01:00
Starbeamrainbowlabs 8195318a42
SparseCategoricalAccuracy: losses → metrics 2022-10-21 16:51:20 +01:00
Starbeamrainbowlabs c98d8d05dd
segmentation: use the right accuracy 2022-10-21 16:17:05 +01:00
Starbeamrainbowlabs 3f7db6fa78
fix embedding confusion 2022-10-21 15:15:59 +01:00
Starbeamrainbowlabs b3ea189d37
segmentation: softmax the output 2022-10-13 21:02:57 +01:00
Starbeamrainbowlabs f121bfb981
fixup summaryfile 2022-10-13 17:54:42 +01:00
Starbeamrainbowlabs 5c35c0cee4
model_segmentation: document; remove unused args 2022-10-13 17:50:16 +01:00
Starbeamrainbowlabs f12e6ab905
No need for a CLI arg for feature_dim_in - metadata should contain this 2022-10-13 17:37:16 +01:00
Starbeamrainbowlabs 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
Starbeamrainbowlabs 32f5200d3b
pass model_arch properly 2022-10-12 16:50:06 +01:00
Starbeamrainbowlabs c45b90764e
segmentation: adds xxtiny, but unsure if it's small enough 2022-10-11 19:22:37 +01:00
Starbeamrainbowlabs 11f91a7cf4
train: add --arch; default to convnext_i_xtiny 2022-10-11 19:18:01 +01:00
Starbeamrainbowlabs 5dac70aa08
typo 2022-10-06 19:17:03 +01:00