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5195fe6b62
|
jupyter test: heatmaps in matplotlib & seaborn
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2023-03-09 18:52:56 +00:00 |
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45c76ba252
|
typo
|
2023-03-03 22:46:02 +00:00 |
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c909cfd3d1
|
fixup
|
2023-03-03 22:45:34 +00:00 |
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0734201107
|
dlr: tf graph changes
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2023-03-03 22:44:49 +00:00 |
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750f46dbd2
|
debug
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2023-03-03 22:39:30 +00:00 |
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5472729f5e
|
dlr: fixup argmax & y_true/y_pred
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2023-03-03 22:37:36 +00:00 |
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bc734a29c6
|
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
|
specificity: convert to plaintf
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2023-03-03 22:16:48 +00:00 |
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26cc824ace
|
dlr: MeanIoU fixup
|
2023-03-03 22:10:49 +00:00 |
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e9dcbe3863
|
dlr: fixup
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2023-03-03 22:09:05 +00:00 |
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5c6789bf40
|
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
|
fixup
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2023-03-03 21:54:45 +00:00 |
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9b13e9ca5b
|
dlr: fixup argmax first
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2023-03-03 21:51:24 +00:00 |
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7453c607ed
|
argmax for sensitivity & specificity too
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2023-03-03 21:49:33 +00:00 |
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8470aec996
|
dlr: fixup
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2023-03-03 21:45:51 +00:00 |
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3d051a8874
|
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
|
dlr: fix metrics
|
2023-03-03 20:37:22 +00:00 |
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c7f96ab6ab
|
dlr: typo
|
2023-03-03 20:23:03 +00:00 |
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06f956dc07
|
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
|
dlr: add sensitivity (aka recall) and specificity metrics
|
2023-03-03 20:00:05 +00:00 |
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483ecf11c8
|
add specificity metric
|
2023-03-03 19:35:20 +00:00 |
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d464c9f57d
|
dlr: add dice loss as metric
more metrics to go tho
|
2023-03-03 19:34:55 +00:00 |
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f70083bea4
|
dlr eo: set custom_objects when loading model
|
2023-03-01 17:19:10 +00:00 |
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b5f23e76d1
|
dlr eo: allow setting DIR_OUTPUT directly
|
2023-03-01 16:54:15 +00:00 |
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4fd9feba4f
|
dlr eo: tidyup
|
2023-03-01 16:47:36 +00:00 |
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69b5ae8838
|
dlr eo: this should fix it
|
2023-02-23 17:24:30 +00:00 |
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9f1cee2927
|
dlr eo: cheese it by upsampling and then downsampling again
|
2023-02-23 16:47:00 +00:00 |
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96b94ec55b
|
upsampling test
|
2023-02-23 16:19:44 +00:00 |
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747ddfd41b
|
weird, XLA_FLAGS cuda data dir wasn't needed before
libdevice not found at ./libdevice.10.bc
|
2023-02-10 13:28:34 +00:00 |
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e43274cd91
|
dlr eo: add VAL_STEPS_PER_EPOCH
|
2023-02-03 16:41:30 +00:00 |
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8446a842d1
|
typo
|
2023-02-03 16:01:54 +00:00 |
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1a8f10339a
|
LayerConvNeXtGamma: fix for mixed precision mode
|
2023-02-02 16:22:08 +00:00 |
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a630db2c49
|
dlr eo: fixup
|
2023-02-02 16:17:52 +00:00 |
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2bf1872aca
|
dlr eo: add JIT_COMPILE and MIXED_PRECISION
|
2023-02-02 16:14:09 +00:00 |
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71088b8c0b
|
typo
|
2023-02-02 15:48:49 +00:00 |
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f7666865a0
|
dlr eo: add STEPS_PER_EXECUTION
|
2023-02-02 15:47:08 +00:00 |
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f8202851a1
|
dlr eo: add LEARNING_RATE
|
2023-01-27 16:51:13 +00:00 |
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fb898ea72b
|
slurm eo: seriously....?
|
2023-01-26 17:02:33 +00:00 |
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be946091b1
|
slurm eo: DIR_OUTPUT → DIRPATH_OUTPUT
|
2023-01-26 16:52:14 +00:00 |
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4703bdbea1
|
SLURM: add job file for encoderonly
It's pretty much bugfixed, but illykin doesn't have enough RAM to support it at the moment :-(
|
2023-01-20 20:32:35 +00:00 |
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818d77c733
|
Make dirpath_rainfallwater consistent with other experiments
|
2023-01-20 20:31:26 +00:00 |
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e72d3991b8
|
switch to a smaller ConvNeXt
|
2023-01-20 19:14:38 +00:00 |
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e1ad16a213
|
debug A
|
2023-01-20 18:58:45 +00:00 |
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65a2e16a4c
|
ds_eo: lower memory usage
|
2023-01-20 18:55:52 +00:00 |
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b5e68fc1a3
|
eo: don't downsample ConvNeXt at beginning
|
2023-01-20 18:49:46 +00:00 |
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d5fdab50ed
|
dlreo: missing import
|
2023-01-20 18:40:35 +00:00 |
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4514086dc6
|
make_encoderonly: kwargs
|
2023-01-20 18:39:35 +00:00 |
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35dbd3f8bc
|
ds eo: scale up rainfall data
It's taken most fo the afternoon to spot this one 🤦
|
2023-01-20 18:37:08 +00:00 |
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5b54ceec48
|
ds eo: debug
|
2023-01-20 18:36:14 +00:00 |
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a3787f0647
|
debug
|
2023-01-20 18:34:56 +00:00 |
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9bd5e0f7a3
|
ds_eo: debug
there's something fishy going on here.
|
2023-01-20 17:25:22 +00:00 |
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aa3831bc4f
|
ds_eo: pass water to reshape
|
2023-01-17 19:07:16 +00:00 |
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a01c49414f
|
ds_eo: typo
|
2023-01-17 19:06:29 +00:00 |
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b9bea26d26
|
ds_eo: rogue variables
|
2023-01-17 19:03:14 +00:00 |
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64c57bbc21
|
dlr: add no-requeue
Ref https://support.hull.ac.uk/tas/public/ssp/content/detail/incident?unid=652db7ac6e73485c9f7658db78b2b628
|
2023-01-17 18:20:26 +00:00 |
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a28bbb9cf7
|
encoderonly: make executable
|
2023-01-17 17:55:10 +00:00 |
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835b376c72
|
slurm dlr: log exit code
|
2023-01-17 15:18:26 +00:00 |
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|
40a550f155
|
slurm dlr: fixup
|
2023-01-16 18:45:08 +00:00 |
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|
7bcf13f8d8
|
dlr: typo
|
2023-01-16 18:02:09 +00:00 |
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|
6ff2864d23
|
slurm dlr: shell out in conda; redirect stderr & stdout to disk inside the experiments folder
Also, if the job restarts, we still save the previous run's results because we append rather than overwrite
|
2023-01-16 17:32:22 +00:00 |
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0b31c9e700
|
log start time, end time, and elapsed
just in case...!
|
2023-01-16 17:30:20 +00:00 |
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1a4ac3ed66
|
encoderonly: add graph plotting
|
2023-01-13 19:08:38 +00:00 |
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|
82e01da70b
|
fixup.... again
oops
|
2023-01-13 18:47:29 +00:00 |
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|
7b10f5c5fe
|
dlr: add learning_rate env var
|
2023-01-13 18:29:39 +00:00 |
|
|
2f0ce0aa13
|
again
|
2023-01-13 18:27:03 +00:00 |
|
|
e04d6ab1b6
|
fixup again
|
2023-01-13 18:23:32 +00:00 |
|
|
37d1598b0b
|
loss cel+dice: fixup
|
2023-01-13 18:21:11 +00:00 |
|
|
0f0b691b5d
|
loss cel + dice: fixup
|
2023-01-13 18:09:31 +00:00 |
|
|
be77f035c8
|
dlr: add cross-entropy + dice loss fn option
|
2023-01-13 17:58:00 +00:00 |
|
|
b2a5acaf4e
|
dlr dsm: clash
|
2023-01-13 17:26:38 +00:00 |
|
|
f7672db599
|
annoying
|
2023-01-13 17:00:47 +00:00 |
|
|
3c4d1c5140
|
dlr: Add support for stripping isolated water pixels
That is, water pixels that have no other water pixels immediately adjacent thereto (diagonals count).
|
2023-01-13 16:57:26 +00:00 |
|
|
ce1467461d
|
fixup
|
2023-01-13 16:47:52 +00:00 |
|
|
0b676fa391
|
move shuffle to subdir
|
2023-01-13 16:47:35 +00:00 |
|
|
2edfb1a21f
|
dlr predict: comment debug
|
2023-01-12 19:20:22 +00:00 |
|
|
f0dd9711ed
|
dlr: fixup
|
2023-01-12 18:55:33 +00:00 |
|
|
176dc022a0
|
add moar env vars
|
2023-01-12 18:54:39 +00:00 |
|
|
0d41bbba94
|
dlr predict: output with higher quality
|
2023-01-12 18:43:48 +00:00 |
|
|
1b5bb14d8f
|
dlr: debug
|
2023-01-12 18:35:29 +00:00 |
|
|
20f7d34fd1
|
fixup
|
2023-01-12 18:21:20 +00:00 |
|
|
c0c6e81c01
|
dlr predict: allow for multiple outputs
|
2023-01-12 18:12:50 +00:00 |
|
|
864dfa802d
|
dlr/predict typo
|
2023-01-12 18:03:06 +00:00 |
|
|
0140e93bbd
|
dlr: trying a thing
|
2023-01-12 18:00:16 +00:00 |
|
|
e1666026ad
|
dlr/predict: let's try another way
|
2023-01-12 17:56:59 +00:00 |
|
|
e7c0328648
|
typo
|
2023-01-12 16:58:23 +00:00 |
|
|
376eecc29f
|
dlr: try plotting the label too
https://www.youtube.com/watch?v=03qwgVJbNas
|
2023-01-12 16:13:04 +00:00 |
|
|
be7dd91f88
|
fix crash 'cause we're only plotting 1 thing
|
2023-01-11 17:41:55 +00:00 |
|
|
3787155665
|
dlr: we can't plot the input tensor because it has 8 channels rather than 1 or 3
|
2023-01-11 17:39:14 +00:00 |
|
|
373dda03b5
|
missing comma
|
2023-01-11 17:28:13 +00:00 |
|
|
7be0509ac8
|
dlr: slurm PATH_CHECKPOINT
|
2023-01-11 17:27:26 +00:00 |
|
|
a69c809008
|
dlr: slurm, load checkpoint
|
2023-01-11 17:26:57 +00:00 |
|
|
93e663e45d
|
add optional PATH_CHECKPOINT env var
|
2023-01-11 17:20:19 +00:00 |
|
|
0e3de8f5fc
|
dlr: fix predictions
|
2023-01-10 19:19:30 +00:00 |
|
|
2591cbe6bc
|
slurm dlr: quiet, pip
|
2023-01-10 18:12:35 +00:00 |
|
|
1958c4e6c2
|
encoderonly model: getting there
|
2023-01-09 19:33:41 +00:00 |
|
|
4b7df39fac
|
bugfix
|
2023-01-09 18:25:16 +00:00 |
|
|
581006cbe6
|
dlr: save checkpoints
|
2023-01-09 18:03:23 +00:00 |
|
|
52cf66ca32
|
start working on a quick encoder test, but it's far from finished
|
2023-01-06 19:55:52 +00:00 |
|
|
f080af0b57
|
identity test: plot binarised heightmap
|
2023-01-06 19:03:06 +00:00 |
|
|
36859746ff
|
dlr: fix crash
|
2023-01-06 17:13:35 +00:00 |
|