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