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Author	SHA1	Message	Date
Starbeamrainbowlabs	f2ae74ce7b	how could I be so stupid..... round 2	2022-11-02 17:38:26 +00:00
Starbeamrainbowlabs	441ad92b12	slurm: fixup	2022-11-01 19:57:15 +00:00
Starbeamrainbowlabs	bc0e5f05a8	slurm: fixup	2022-11-01 19:55:04 +00:00
Starbeamrainbowlabs	784b8ed35c	recordify: catch NaN --count-file	2022-11-01 19:53:21 +00:00
Starbeamrainbowlabs	c17a4ca05a	slurm: fix sanity logic	2022-11-01 19:38:04 +00:00
Starbeamrainbowlabs	79b231198f	slurm-process: check input files are readable	2022-11-01 19:03:37 +00:00
Starbeamrainbowlabs	a69fa9f0f3	slurm: rename	2022-11-01 18:59:55 +00:00
Starbeamrainbowlabs	f8341e7d89	slurm: add .log	2022-11-01 18:59:15 +00:00
Starbeamrainbowlabs	fecc63b6a2	wrangler: write high-level job file	2022-11-01 18:56:27 +00:00
Starbeamrainbowlabs	91152ebb1c	wrangler:recordify update cli help ... we only output .jsonl.gz to a DIRECTORY, so update cli help to reflect this	2022-11-01 18:29:47 +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	dfef7db421	moar debugging	2022-10-31 18:26:34 +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	33391eaf16	train_predict/jsonl: don't argmax ... I'm interested inthe raw values	2022-10-26 17:21:19 +01:00
Starbeamrainbowlabs	74f2cdb900	train_predict: .list() → .tolist()	2022-10-26 17:12:36 +01:00
Starbeamrainbowlabs	4f9d543695	train_predict: don't pass model_code ... it's redundant	2022-10-26 17:11:36 +01:00
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	a6b07a49cb	count water/nowater pixels in Jupyter Notebook	2022-10-24 18:05:34 +01:00
Starbeamrainbowlabs	a8b101bdae	dataset_predict: add shape_water_desired	2022-10-24 18:05:13 +01:00
Starbeamrainbowlabs	587c1dfafa	train_predict: revamp jsonl handling	2022-10-21 16:53:08 +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	bb0258f5cd	flip squeeze operator ordering	2022-10-21 15:38:57 +01:00
Starbeamrainbowlabs	af26964c6a	batched_iterator: reset i_item after every time	2022-10-21 15:35:43 +01:00
Starbeamrainbowlabs	c5b1501dba	train-predict fixup	2022-10-21 15:27:39 +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	81e53efd9c	PNG: create output dir if doesn't exist	2022-10-21 15:17:39 +01:00
Starbeamrainbowlabs	3f7db6fa78	fix embedding confusion	2022-10-21 15:15:59 +01:00
Starbeamrainbowlabs	847cd97ec4	fixup	2022-10-21 14:26:58 +01:00
Starbeamrainbowlabs	0e814b7e98	Contraster → Segmenter	2022-10-21 14:25:43 +01:00
Starbeamrainbowlabs	1b658a1b7c	train-predict: can't destructure array when iterating generator ... ....it seems to lead to undefined behaviour or something	2022-10-20 19:34:04 +01:00