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9b13e9ca5b
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dlr: fixup argmax first
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2023-03-03 21:51:24 +00:00 |
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7453c607ed
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argmax for sensitivity & specificity too
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2023-03-03 21:49:33 +00:00 |
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8470aec996
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dlr: fixup
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2023-03-03 21:45:51 +00:00 |
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3d051a8874
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dlr: HACK: argmax to convert [64,128,128, 2] → [64,128,128]
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2023-03-03 21:41:26 +00:00 |
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94a32e7144
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dlr: fix metrics
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2023-03-03 20:37:22 +00:00 |
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c7f96ab6ab
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dlr: typo
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2023-03-03 20:23:03 +00:00 |
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06f956dc07
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dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values
Ref recent experiments
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2023-03-03 20:17:08 +00:00 |
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b435cc54dd
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dlr: add sensitivity (aka recall) and specificity metrics
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2023-03-03 20:00:05 +00:00 |
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483ecf11c8
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add specificity metric
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2023-03-03 19:35:20 +00:00 |
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d464c9f57d
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dlr: add dice loss as metric
more metrics to go tho
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2023-03-03 19:34:55 +00:00 |
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f70083bea4
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dlr eo: set custom_objects when loading model
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2023-03-01 17:19:10 +00:00 |
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4fd9feba4f
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dlr eo: tidyup
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2023-03-01 16:47:36 +00:00 |
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69b5ae8838
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dlr eo: this should fix it
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2023-02-23 17:24:30 +00:00 |
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9f1cee2927
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dlr eo: cheese it by upsampling and then downsampling again
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2023-02-23 16:47:00 +00:00 |
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96b94ec55b
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upsampling test
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2023-02-23 16:19:44 +00:00 |
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e43274cd91
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dlr eo: add VAL_STEPS_PER_EPOCH
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2023-02-03 16:41:30 +00:00 |
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8446a842d1
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typo
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2023-02-03 16:01:54 +00:00 |
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1a8f10339a
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LayerConvNeXtGamma: fix for mixed precision mode
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2023-02-02 16:22:08 +00:00 |
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a630db2c49
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dlr eo: fixup
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2023-02-02 16:17:52 +00:00 |
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2bf1872aca
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dlr eo: add JIT_COMPILE and MIXED_PRECISION
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2023-02-02 16:14:09 +00:00 |
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71088b8c0b
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typo
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2023-02-02 15:48:49 +00:00 |
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f7666865a0
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dlr eo: add STEPS_PER_EXECUTION
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2023-02-02 15:47:08 +00:00 |
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f8202851a1
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dlr eo: add LEARNING_RATE
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2023-01-27 16:51:13 +00:00 |
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818d77c733
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Make dirpath_rainfallwater consistent with other experiments
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2023-01-20 20:31:26 +00:00 |
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e72d3991b8
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switch to a smaller ConvNeXt
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2023-01-20 19:14:38 +00:00 |
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e1ad16a213
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debug A
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2023-01-20 18:58:45 +00:00 |
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65a2e16a4c
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ds_eo: lower memory usage
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2023-01-20 18:55:52 +00:00 |
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b5e68fc1a3
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eo: don't downsample ConvNeXt at beginning
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2023-01-20 18:49:46 +00:00 |
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d5fdab50ed
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dlreo: missing import
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2023-01-20 18:40:35 +00:00 |
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4514086dc6
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make_encoderonly: kwargs
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2023-01-20 18:39:35 +00:00 |
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35dbd3f8bc
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ds eo: scale up rainfall data
It's taken most fo the afternoon to spot this one 🤦
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2023-01-20 18:37:08 +00:00 |
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5b54ceec48
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ds eo: debug
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2023-01-20 18:36:14 +00:00 |
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a3787f0647
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debug
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2023-01-20 18:34:56 +00:00 |
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9bd5e0f7a3
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ds_eo: debug
there's something fishy going on here.
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2023-01-20 17:25:22 +00:00 |
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aa3831bc4f
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ds_eo: pass water to reshape
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2023-01-17 19:07:16 +00:00 |
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a01c49414f
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ds_eo: typo
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2023-01-17 19:06:29 +00:00 |
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b9bea26d26
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ds_eo: rogue variables
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2023-01-17 19:03:14 +00:00 |
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a28bbb9cf7
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encoderonly: make executable
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2023-01-17 17:55:10 +00:00 |
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7bcf13f8d8
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dlr: typo
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2023-01-16 18:02:09 +00:00 |
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0b31c9e700
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log start time, end time, and elapsed
just in case...!
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2023-01-16 17:30:20 +00:00 |
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1a4ac3ed66
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encoderonly: add graph plotting
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2023-01-13 19:08:38 +00:00 |
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82e01da70b
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fixup.... again
oops
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2023-01-13 18:47:29 +00:00 |
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7b10f5c5fe
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dlr: add learning_rate env var
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2023-01-13 18:29:39 +00:00 |
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2f0ce0aa13
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again
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2023-01-13 18:27:03 +00:00 |
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e04d6ab1b6
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fixup again
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2023-01-13 18:23:32 +00:00 |
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37d1598b0b
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loss cel+dice: fixup
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2023-01-13 18:21:11 +00:00 |
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0f0b691b5d
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loss cel + dice: fixup
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2023-01-13 18:09:31 +00:00 |
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be77f035c8
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dlr: add cross-entropy + dice loss fn option
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2023-01-13 17:58:00 +00:00 |
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b2a5acaf4e
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dlr dsm: clash
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2023-01-13 17:26:38 +00:00 |
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3c4d1c5140
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dlr: Add support for stripping isolated water pixels
That is, water pixels that have no other water pixels immediately adjacent thereto (diagonals count).
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2023-01-13 16:57:26 +00:00 |
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