151 commits

Author	SHA1	Message	Date
Starbeamrainbowlabs	0aa2ce19f5	read_metadata: support file inputs as well as dirs	2022-11-10 19:53:30 +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	a8b101bdae	dataset_predict: add shape_water_desired	2022-10-24 18:05:13 +01:00
Starbeamrainbowlabs	8195318a42	SparseCategoricalAccuracy: losses → metrics	2022-10-21 16:51:20 +01:00
Starbeamrainbowlabs	612735aaae	rename shuffle arg	2022-10-21 16:35:45 +01:00
Starbeamrainbowlabs	c98d8d05dd	segmentation: use the right accuracy	2022-10-21 16:17:05 +01:00
Starbeamrainbowlabs	af26964c6a	batched_iterator: reset i_item after every time	2022-10-21 15:35:43 +01:00
Starbeamrainbowlabs	42aea7a0cc	plt.close() fixup	2022-10-21 15:23:54 +01:00
Starbeamrainbowlabs	12dad3bc87	vis/segmentation: fix titles	2022-10-21 15:22:35 +01:00
Starbeamrainbowlabs	0cb2de5d06	train-preedict: close matplotlib after we've finished ... they act like file handles	2022-10-21 15:19:31 +01:00
Starbeamrainbowlabs	3f7db6fa78	fix embedding confusion	2022-10-21 15:15:59 +01:00
Starbeamrainbowlabs	59cfa4a89a	basename paths	2022-10-20 15:11:14 +01:00
Starbeamrainbowlabs	200076596b	finish train_predict	2022-10-19 17:26:40 +01:00
Starbeamrainbowlabs	63e909d9fc	datasets: add shuffle=True/False to get_filepaths. ... This is important because otherwise it SCAMBLES the filenames, which is a disaster for making predictions in the right order....!	2022-10-19 16:52:07 +01:00
Starbeamrainbowlabs	fe43ddfbf9	start implementing driver for train_predict, but not finished yet	2022-10-18 19:37:55 +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	ae53130e66	layout	2022-10-13 14:54:20 +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	e9a8e2eb57	fixup	2022-10-06 19:23:31 +01:00
Starbeamrainbowlabs	9f3ae96894	finish wiring for --water-size	2022-10-06 19:21:50 +01:00
Starbeamrainbowlabs	5dac70aa08	typo	2022-10-06 19:17:03 +01:00
Starbeamrainbowlabs	2960d3b645	exception → warning	2022-10-06 18:26:40 +01:00
Starbeamrainbowlabs	0ee6703c1e	Add todo and comment	2022-10-03 19:06:56 +01:00