268 commits

Author	SHA1	Message	Date
Starbeamrainbowlabs	37f196a785	LossCrossentropy: add kwargs	2022-11-29 15:40:35 +00:00
Starbeamrainbowlabs	838ff56a3b	mono: fix loading checkpoint	2022-11-29 15:25:11 +00:00
Starbeamrainbowlabs	dba6cbffcd	WHY. * facepalms *	2022-11-28 19:33:42 +00:00
Starbeamrainbowlabs	57b8eb93fb	fixup	2022-11-28 19:09:35 +00:00
Starbeamrainbowlabs	6640a41bb7	almost got it....? it's not what I expected....!	2022-11-28 19:08:50 +00:00
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	e7410fb480	train_mono_predict: limit label size to 64x64 ... that's the size the model predicts	2022-11-25 17:47:17 +00:00
Starbeamrainbowlabs	51dd484d13	fixup	2022-11-25 16:55:45 +00:00
Starbeamrainbowlabs	884c4eb150	rainfall_stats: formatting again	2022-11-24 19:08:07 +00:00
Starbeamrainbowlabs	bfe038086c	rainfall_stats: formatting	2022-11-24 19:07:44 +00:00
Starbeamrainbowlabs	7dba03200f	fixup	2022-11-24 19:06:48 +00:00
Starbeamrainbowlabs	e5258b9c66	typo	2022-11-24 19:06:13 +00:00
Starbeamrainbowlabs	64d646bb13	rainfall_stats: formatting	2022-11-24 19:05:35 +00:00
Starbeamrainbowlabs	675c7a7448	fixup	2022-11-24 19:03:28 +00:00
Starbeamrainbowlabs	afc1cdcf02	fixup	2022-11-24 19:02:58 +00:00
Starbeamrainbowlabs	e4bea89c89	typo	2022-11-24 19:01:52 +00:00
Starbeamrainbowlabs	a40cbe8705	rainfall_stats: remove unused imports	2022-11-24 19:01:18 +00:00
Starbeamrainbowlabs	fe57d6aab2	rainfall_stats: initial implementation ... this might reveal why we are having problems. If most/all the rainfall radar data is v small numbers, normalising might help.	2022-11-24 18:58:16 +00:00
Starbeamrainbowlabs	3131b4f7b3	debug2	2022-11-24 18:25:32 +00:00
Starbeamrainbowlabs	d55a13f536	debug	2022-11-24 18:24:03 +00:00
Starbeamrainbowlabs	1f60f2a580	do_argmax	2022-11-24 18:11:03 +00:00
Starbeamrainbowlabs	6c09d5254d	fixup	2022-11-24 17:57:48 +00:00
Starbeamrainbowlabs	54a841efe9	train_mono_predict: convert to correct format	2022-11-24 17:56:07 +00:00
Starbeamrainbowlabs	105dc5bc56	missing kwargs	2022-11-24 17:51:29 +00:00
Starbeamrainbowlabs	1e1d6dd273	fixup	2022-11-24 17:48:19 +00:00
Starbeamrainbowlabs	011e0aef78	update cli docs	2022-11-24 16:38:07 +00:00
Starbeamrainbowlabs	773944f9fa	train_mono_predict: initial implementation	2022-11-24 16:33:50 +00:00
Starbeamrainbowlabs	3a0356929c	mono: drop the sparse	2022-11-22 16:20:56 +00:00
Starbeamrainbowlabs	7e8f63f8ba	fixup	2022-11-21 19:38:24 +00:00
Starbeamrainbowlabs	ace4c8b246	dataset_mono: debug	2022-11-21 18:46:21 +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	00917b2698	dataset_mono: log shapes	2022-11-11 19:02:43 +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	481eeb3759	mono: fix dataset preprocessing ... rogue dimension	2022-11-11 18:31:27 +00:00
Starbeamrainbowlabs	9035450213	mono: instantiate right model	2022-11-11 18:28:29 +00:00
Starbeamrainbowlabs	69a2d0cf04	fixup	2022-11-11 18:27:01 +00:00
Starbeamrainbowlabs	65e801cf28	train_mono: fix crash	2022-11-11 18:26:25 +00:00
Starbeamrainbowlabs	8ac5159adc	dataset_mono: simplify param passing, onehot+threshold water depth data	2022-11-11 18:23:50 +00:00
Starbeamrainbowlabs	3a3f7e85da	typo	2022-11-11 18:03:09 +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