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0734201107
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dlr: tf graph changes
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2023-03-03 22:44:49 +00:00 |
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750f46dbd2
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debug
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2023-03-03 22:39:30 +00:00 |
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5472729f5e
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dlr: fixup argmax & y_true/y_pred
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2023-03-03 22:37:36 +00:00 |
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bc734a29c6
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y_true is one-hot, convert to sparse
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2023-03-03 22:20:11 +00:00 |
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c7b577ab29
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specificity: convert to plaintf
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2023-03-03 22:16:48 +00:00 |
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26cc824ace
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dlr: MeanIoU fixup
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2023-03-03 22:10:49 +00:00 |
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e9dcbe3863
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dlr: fixup
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2023-03-03 22:09:05 +00:00 |
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5c6789bf40
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meaniou: implement one-hot version
it expects sparse, but our output is one-hot.
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2023-03-03 22:04:21 +00:00 |
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6ffda40d48
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fixup
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2023-03-03 21:54:45 +00:00 |
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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
|
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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ce1467461d
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fixup
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2023-01-13 16:47:52 +00:00 |
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0b676fa391
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move shuffle to subdir
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2023-01-13 16:47:35 +00:00 |
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2edfb1a21f
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dlr predict: comment debug
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2023-01-12 19:20:22 +00:00 |
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176dc022a0
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add moar env vars
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2023-01-12 18:54:39 +00:00 |
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0d41bbba94
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dlr predict: output with higher quality
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2023-01-12 18:43:48 +00:00 |
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1b5bb14d8f
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dlr: debug
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2023-01-12 18:35:29 +00:00 |
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20f7d34fd1
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fixup
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2023-01-12 18:21:20 +00:00 |
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c0c6e81c01
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dlr predict: allow for multiple outputs
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2023-01-12 18:12:50 +00:00 |
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864dfa802d
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dlr/predict typo
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2023-01-12 18:03:06 +00:00 |
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0140e93bbd
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dlr: trying a thing
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2023-01-12 18:00:16 +00:00 |
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e1666026ad
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dlr/predict: let's try another way
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2023-01-12 17:56:59 +00:00 |
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e7c0328648
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typo
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2023-01-12 16:58:23 +00:00 |
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376eecc29f
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dlr: try plotting the label too
https://www.youtube.com/watch?v=03qwgVJbNas
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2023-01-12 16:13:04 +00:00 |
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be7dd91f88
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fix crash 'cause we're only plotting 1 thing
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2023-01-11 17:41:55 +00:00 |
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3787155665
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dlr: we can't plot the input tensor because it has 8 channels rather than 1 or 3
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2023-01-11 17:39:14 +00:00 |
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373dda03b5
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missing comma
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2023-01-11 17:28:13 +00:00 |
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a69c809008
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dlr: slurm, load checkpoint
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2023-01-11 17:26:57 +00:00 |
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93e663e45d
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add optional PATH_CHECKPOINT env var
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2023-01-11 17:20:19 +00:00 |
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0e3de8f5fc
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dlr: fix predictions
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2023-01-10 19:19:30 +00:00 |
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1958c4e6c2
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encoderonly model: getting there
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2023-01-09 19:33:41 +00:00 |
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4b7df39fac
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bugfix
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2023-01-09 18:25:16 +00:00 |
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581006cbe6
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dlr: save checkpoints
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2023-01-09 18:03:23 +00:00 |
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52cf66ca32
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start working on a quick encoder test, but it's far from finished
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2023-01-06 19:55:52 +00:00 |
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f080af0b57
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identity test: plot binarised heightmap
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2023-01-06 19:03:06 +00:00 |
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36859746ff
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dlr: fix crash
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2023-01-06 17:13:35 +00:00 |
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bcf198d47b
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mono identity test: output
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2023-01-06 17:08:18 +00:00 |
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67b8a2c6c0
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spaces → spaces
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2023-01-05 19:17:44 +00:00 |
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56a501f8a9
|
weights="imagenet" only works with 3 image channels
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2023-01-05 19:09:31 +00:00 |
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4563fe6b27
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dpl: fix moar crashes
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2023-01-05 19:03:44 +00:00 |
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fefeb5d531
|
fix water depth fiddling
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2023-01-05 19:01:20 +00:00 |
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46d1f5e4e0
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dataset_mono: fix dataset parsing
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2023-01-05 19:00:52 +00:00 |
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aca7b83a78
|
dataset_mono: fix sizing
it didn't account for rainfall_scale_up
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2023-01-05 18:38:47 +00:00 |
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19bb2fcac0
|
debug
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2023-01-05 18:32:22 +00:00 |
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6a4f68a055
|
missing import
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2023-01-05 18:26:33 +00:00 |
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0d4cc63b76
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dl rainfall: fix env var name
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2023-01-05 17:42:20 +00:00 |
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dd79fb6e68
|
fixup
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2023-01-05 17:09:09 +00:00 |
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c17e53ca75
|
deeplabv3+ for rainfall
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2022-12-16 19:52:59 +00:00 |
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423e277ed1
|
add comment
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2022-12-15 19:33:25 +00:00 |
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ef5071b569
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DeepLabV3+: start working on version for rainfall radar, but it's not finished yet
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2022-12-15 19:33:14 +00:00 |
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15a3150127
|
DeepLabV3+: close each matplotlib figure after writing it
|
2022-12-15 19:14:07 +00:00 |
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6ce121f861
|
DeepLabV3+: have argument for number of channels
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2022-12-14 17:36:30 +00:00 |
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