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423e277ed1
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add comment
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2022-12-15 19:33:25 +00:00 |
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eb47f8f544
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dataset_mono: adjust to suit DeepLabV3+ too
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2022-12-13 18:37:38 +00:00 |
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c27869630a
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I hate VSCode's git commit interface
it doesn't let you ammend
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2022-12-08 18:58:54 +00:00 |
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b3345963f3
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missing arg pass
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2022-12-08 18:58:32 +00:00 |
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d37e7224f5
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train-mono: tidy up arg passing
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2022-12-08 18:47:03 +00:00 |
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eac6472c97
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Implement support for (optionally) taking a heightmap in
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2022-12-06 18:55:58 +00:00 |
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9d666c3b38
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train mono: type=int → float
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2022-12-01 15:39:44 +00:00 |
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c384d55dff
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add arg to adjust learning rate
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2022-11-29 20:55:00 +00:00 |
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dba6cbffcd
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WHY. * facepalms *
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2022-11-28 19:33:42 +00:00 |
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e7410fb480
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train_mono_predict: limit label size to 64x64
that's the size the model predicts
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2022-11-25 17:47:17 +00:00 |
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51dd484d13
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fixup
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2022-11-25 16:55:45 +00:00 |
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884c4eb150
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rainfall_stats: formatting again
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2022-11-24 19:08:07 +00:00 |
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bfe038086c
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rainfall_stats: formatting
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2022-11-24 19:07:44 +00:00 |
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7dba03200f
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fixup
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2022-11-24 19:06:48 +00:00 |
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e5258b9c66
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typo
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2022-11-24 19:06:13 +00:00 |
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64d646bb13
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rainfall_stats: formatting
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2022-11-24 19:05:35 +00:00 |
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675c7a7448
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fixup
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2022-11-24 19:03:28 +00:00 |
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afc1cdcf02
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fixup
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2022-11-24 19:02:58 +00:00 |
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e4bea89c89
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typo
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2022-11-24 19:01:52 +00:00 |
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a40cbe8705
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rainfall_stats: remove unused imports
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2022-11-24 19:01:18 +00:00 |
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fe57d6aab2
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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.
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2022-11-24 18:58:16 +00:00 |
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3131b4f7b3
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debug2
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2022-11-24 18:25:32 +00:00 |
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d55a13f536
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debug
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2022-11-24 18:24:03 +00:00 |
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1f60f2a580
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do_argmax
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2022-11-24 18:11:03 +00:00 |
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6c09d5254d
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fixup
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2022-11-24 17:57:48 +00:00 |
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54a841efe9
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train_mono_predict: convert to correct format
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2022-11-24 17:56:07 +00:00 |
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1e1d6dd273
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fixup
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2022-11-24 17:48:19 +00:00 |
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011e0aef78
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update cli docs
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2022-11-24 16:38:07 +00:00 |
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773944f9fa
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train_mono_predict: initial implementation
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2022-11-24 16:33:50 +00:00 |
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69a2d0cf04
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fixup
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2022-11-11 18:27:01 +00:00 |
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65e801cf28
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train_mono: fix crash
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2022-11-11 18:26:25 +00:00 |
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3313f77c88
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Add (untested) mono rainfall → water depth model
* sighs *
Unfortunately I can't seem to get contrastive learning to work.....
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2022-11-10 22:36:11 +00:00 |
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aa7d9b8cf6
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fixup
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2022-11-10 19:46:09 +00:00 |
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0894bd09e8
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train_predict: add error message for parrams.json not found
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2022-11-10 19:45:41 +00:00 |
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4dddcfcb42
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pretrain_predict: missing \n
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2022-11-04 16:01:28 +00:00 |
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cf872ef739
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how could I be so *stupid*......
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2022-10-31 18:40:58 +00:00 |
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dfef7db421
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moar debugging
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2022-10-31 18:26:34 +00:00 |
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33391eaf16
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train_predict/jsonl: don't argmax
I'm interested inthe raw values
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2022-10-26 17:21:19 +01:00 |
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74f2cdb900
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train_predict: .list() → .tolist()
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2022-10-26 17:12:36 +01:00 |
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4f9d543695
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train_predict: don't pass model_code
it's redundant
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2022-10-26 17:11:36 +01:00 |
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587c1dfafa
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train_predict: revamp jsonl handling
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2022-10-21 16:53:08 +01:00 |
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bb0258f5cd
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flip squeeze operator ordering
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2022-10-21 15:38:57 +01:00 |
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af26964c6a
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batched_iterator: reset i_item after every time
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2022-10-21 15:35:43 +01:00 |
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c5b1501dba
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train-predict fixup
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2022-10-21 15:27:39 +01:00 |
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81e53efd9c
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PNG: create output dir if doesn't exist
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2022-10-21 15:17:39 +01:00 |
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3f7db6fa78
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fix embedding confusion
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2022-10-21 15:15:59 +01:00 |
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847cd97ec4
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fixup
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2022-10-21 14:26:58 +01:00 |
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0e814b7e98
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Contraster → Segmenter
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2022-10-21 14:25:43 +01:00 |
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1b658a1b7c
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train-predict: can't destructure array when iterating generator
....it seems to lead to undefined behaviour or something
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2022-10-20 19:34:04 +01:00 |
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aed2348a95
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train_predict: fixup
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2022-10-20 15:42:33 +01:00 |
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