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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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105dc5bc56
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missing kwargs
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2022-11-24 17:51:29 +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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3a0356929c
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mono: drop the sparse
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2022-11-22 16:20:56 +00:00 |
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7e8f63f8ba
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fixup
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2022-11-21 19:38:24 +00:00 |
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ace4c8b246
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dataset_mono: debug
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2022-11-21 18:46:21 +00:00 |
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527b34942d
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convnext_inverse: kernel_size 4→2
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2022-11-11 19:29:37 +00:00 |
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0662d0854b
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model_mono: fix bottleneck
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2022-11-11 19:11:40 +00:00 |
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73acda6d9a
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fix debug logging
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2022-11-11 19:08:38 +00:00 |
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9da059d738
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model shape logging
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2022-11-11 19:03:37 +00:00 |
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00917b2698
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dataset_mono: log shapes
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2022-11-11 19:02:43 +00:00 |
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54ae88b1b4
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in this entire blasted project I have yet to get the rotation of anything correct....!
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2022-11-11 18:58:45 +00:00 |
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a7a475dcd1
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debug 2
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2022-11-11 18:38:07 +00:00 |
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bf2f6e9b64
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debug logging
it begins again
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2022-11-11 18:31:40 +00:00 |
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481eeb3759
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mono: fix dataset preprocessing
rogue dimension
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2022-11-11 18:31:27 +00:00 |
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9035450213
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mono: instantiate right model
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2022-11-11 18:28:29 +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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8ac5159adc
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dataset_mono: simplify param passing, onehot+threshold water depth data
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2022-11-11 18:23:50 +00:00 |
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3a3f7e85da
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typo
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2022-11-11 18:03:09 +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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9384b89165
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model_segmentation: spare → normal crossentropy, activation functions at end
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2022-11-10 20:53:37 +00:00 |
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b6676e7361
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switch from sparse to normal crossentropy
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2022-11-10 20:50:56 +00:00 |
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d8be26d476
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Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar
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2022-11-10 20:49:01 +00:00 |
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b03388de60
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dataset_segmenter: DEBUG: fix water shape
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2022-11-10 20:48:21 +00:00 |
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daf691bf43
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typo
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2022-11-10 19:55:00 +00:00 |
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0aa2ce19f5
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read_metadata: support file inputs as well as dirs
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2022-11-10 19:53:30 +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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44ad51f483
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CallbackNBatchCsv: bugfix .sort() → sorted()
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2022-11-04 16:40:21 +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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1375201c5f
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CallbackNBatchCsv: open_handle mode
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2022-11-03 18:29:00 +00:00 |
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f2ae74ce7b
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how could I be so stupid..... round 2
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2022-11-02 17:38:26 +00:00 |
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5f8d6dc6ea
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Add metrics every 64 batches
this is important, because with large batches it can be difficult to tell what's happening inside each epoch.
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2022-10-31 19:26:10 +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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da32d75778
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make_callbacks: display steps, not samples
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2022-10-31 18:36:28 +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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172cf9d8ce
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tweak
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2022-10-31 18:19:43 +00:00 |
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dbe35ee943
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loss: comment l2 norm
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2022-10-31 18:09:03 +00:00 |
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5e60319024
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fixup
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2022-10-31 17:56:49 +00:00 |
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b986b069e2
|
debug party time
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2022-10-31 17:50:29 +00:00 |
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458faa96d2
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loss: fixup
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2022-10-31 17:18:21 +00:00 |
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55dc05e8ce
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contrastive: comment weights that aren't needed
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2022-10-31 16:26:48 +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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1b489518d0
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segmenter: add LayerStack2Image to custom_objects
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2022-10-26 17:05:50 +01:00 |
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