|
dbe35ee943
|
loss: comment l2 norm
|
2022-10-31 18:09:03 +00:00 |
|
|
5e60319024
|
fixup
|
2022-10-31 17:56:49 +00:00 |
|
|
b986b069e2
|
debug party time
|
2022-10-31 17:50:29 +00:00 |
|
|
458faa96d2
|
loss: fixup
|
2022-10-31 17:18:21 +00:00 |
|
|
55dc05e8ce
|
contrastive: comment weights that aren't needed
|
2022-10-31 16:26:48 +00:00 |
|
|
33391eaf16
|
train_predict/jsonl: don't argmax
I'm interested inthe raw values
|
2022-10-26 17:21:19 +01:00 |
|
|
74f2cdb900
|
train_predict: .list() → .tolist()
|
2022-10-26 17:12:36 +01:00 |
|
|
4f9d543695
|
train_predict: don't pass model_code
it's redundant
|
2022-10-26 17:11:36 +01:00 |
|
|
1b489518d0
|
segmenter: add LayerStack2Image to custom_objects
|
2022-10-26 17:05:50 +01:00 |
|
|
48ae8a5c20
|
LossContrastive: normalise features as per the paper
|
2022-10-26 16:52:56 +01:00 |
|
|
843cc8dc7b
|
contrastive: rewrite the loss function.
The CLIP paper *does* kinda make sense I think
|
2022-10-26 16:45:45 +01:00 |
|
|
fad1399c2d
|
convnext: whitespace
|
2022-10-26 16:45:20 +01:00 |
|
|
1d872cb962
|
contrastive: fix initial temperature value
It should be 1/0.07, but we had it set to 0.07......
|
2022-10-26 16:45:01 +01:00 |
|
|
f994d449f1
|
Layer2Image: fix
|
2022-10-25 21:32:17 +01:00 |
|
|
6a29105f56
|
model_segmentation: stack not reshape
|
2022-10-25 21:25:15 +01:00 |
|
|
98417a3e06
|
prepare for NCE loss
.....but Tensorflow's implementation looks to be for supervised models :-(
|
2022-10-25 21:15:05 +01:00 |
|
|
bb0679a509
|
model_segmentation: don't softmax twice
|
2022-10-25 21:11:48 +01:00 |
|
|
f2e2ca1484
|
model_contrastive: make water encoder significantly shallower
|
2022-10-24 20:52:31 +01:00 |
|
|
a6b07a49cb
|
count water/nowater pixels in Jupyter Notebook
|
2022-10-24 18:05:34 +01:00 |
|
|
a8b101bdae
|
dataset_predict: add shape_water_desired
|
2022-10-24 18:05:13 +01:00 |
|
|
587c1dfafa
|
train_predict: revamp jsonl handling
|
2022-10-21 16:53:08 +01:00 |
|
|
8195318a42
|
SparseCategoricalAccuracy: losses → metrics
|
2022-10-21 16:51:20 +01:00 |
|
|
612735aaae
|
rename shuffle arg
|
2022-10-21 16:35:45 +01:00 |
|
|
c98d8d05dd
|
segmentation: use the right accuracy
|
2022-10-21 16:17:05 +01:00 |
|
|
bb0258f5cd
|
flip squeeze operator ordering
|
2022-10-21 15:38:57 +01:00 |
|
|
af26964c6a
|
batched_iterator: reset i_item after every time
|
2022-10-21 15:35:43 +01:00 |
|
|
c5b1501dba
|
train-predict fixup
|
2022-10-21 15:27:39 +01:00 |
|
|
42aea7a0cc
|
plt.close() fixup
|
2022-10-21 15:23:54 +01:00 |
|
|
12dad3bc87
|
vis/segmentation: fix titles
|
2022-10-21 15:22:35 +01:00 |
|
|
0cb2de5d06
|
train-preedict: close matplotlib after we've finished
they act like file handles
|
2022-10-21 15:19:31 +01:00 |
|
|
81e53efd9c
|
PNG: create output dir if doesn't exist
|
2022-10-21 15:17:39 +01:00 |
|
|
3f7db6fa78
|
fix embedding confusion
|
2022-10-21 15:15:59 +01:00 |
|
|
847cd97ec4
|
fixup
|
2022-10-21 14:26:58 +01:00 |
|
|
0e814b7e98
|
Contraster → Segmenter
|
2022-10-21 14:25:43 +01:00 |
|
|
1b658a1b7c
|
train-predict: can't destructure array when iterating generator
....it seems to lead to undefined behaviour or something
|
2022-10-20 19:34:04 +01:00 |
|
|
aed2348a95
|
train_predict: fixup
|
2022-10-20 15:42:33 +01:00 |
|
|
cc6679c609
|
batch data; use generator
|
2022-10-20 15:22:29 +01:00 |
|
|
d306853c42
|
use right daataset
|
2022-10-20 15:16:24 +01:00 |
|
|
59cfa4a89a
|
basename paths
|
2022-10-20 15:11:14 +01:00 |
|
|
4d8ae21a45
|
update cli help text
|
2022-10-19 17:31:42 +01:00 |
|
|
200076596b
|
finish train_predict
|
2022-10-19 17:26:40 +01:00 |
|
|
488f78fca5
|
pretrain_predict: default to parallel_reads=0
|
2022-10-19 16:59:45 +01:00 |
|
|
63e909d9fc
|
datasets: add shuffle=True/False to get_filepaths.
This is important because otherwise it SCAMBLES the filenames, which is a disaster for making predictions in the right order....!
|
2022-10-19 16:52:07 +01:00 |
|
|
fe43ddfbf9
|
start implementing driver for train_predict, but not finished yet
|
2022-10-18 19:37:55 +01:00 |
|
|
b3ea189d37
|
segmentation: softmax the output
|
2022-10-13 21:02:57 +01:00 |
|
|
f121bfb981
|
fixup summaryfile
|
2022-10-13 17:54:42 +01:00 |
|
|
5c35c0cee4
|
model_segmentation: document; remove unused args
|
2022-10-13 17:50:16 +01:00 |
|
|
f12e6ab905
|
No need for a CLI arg for feature_dim_in - metadata should contain this
|
2022-10-13 17:37:16 +01:00 |
|
|
e201372252
|
write quick Jupyter notebook to test data
....I'm paranoid
|
2022-10-13 17:27:17 +01:00 |
|
|
ae53130e66
|
layout
|
2022-10-13 14:54:20 +01:00 |
|
|
7933564c66
|
typo
|
2022-10-12 17:33:54 +01:00 |
|
|
dbe4fb0eab
|
train: add slurm job file
|
2022-10-12 17:27:10 +01:00 |
|
|
6423bf6702
|
LayerConvNeXtGamma: avoid adding an EagerTensor to config
Very weird how this is a problem when it wasn't before..
|
2022-10-12 17:12:07 +01:00 |
|
|
32f5200d3b
|
pass model_arch properly
|
2022-10-12 16:50:06 +01:00 |
|
|
5933fb1061
|
fixup
|
2022-10-11 19:23:41 +01:00 |
|
|
c45b90764e
|
segmentation: adds xxtiny, but unsure if it's small enough
|
2022-10-11 19:22:37 +01:00 |
|
|
f4a2c742d9
|
typo
|
2022-10-11 19:19:23 +01:00 |
|
|
11f91a7cf4
|
train: add --arch; default to convnext_i_xtiny
|
2022-10-11 19:18:01 +01:00 |
|
|
5666c5a0d9
|
typo
|
2022-10-10 18:12:51 +01:00 |
|
|
131c0a0a5b
|
pretrain-predict: create dir if not exists
|
2022-10-10 18:00:55 +01:00 |
|
|
deede32241
|
slurm-pretrain: limit memory usage
|
2022-10-10 17:45:29 +01:00 |
|
|
13a8f3f511
|
pretrain-predict: only queue pretrain-plot if I we output jsonl
|
2022-10-10 17:11:10 +01:00 |
|
|
ffcb2e3735
|
pretrain-predict: queue for the actual input
|
2022-10-10 16:53:28 +01:00 |
|
|
f883986eaa
|
Bugfix: modeset to enable TFRecordWriter instead of bare handle
|
2022-10-06 20:07:59 +01:00 |
|
|
e9a8e2eb57
|
fixup
|
2022-10-06 19:23:31 +01:00 |
|
|
9f3ae96894
|
finish wiring for --water-size
|
2022-10-06 19:21:50 +01:00 |
|
|
5dac70aa08
|
typo
|
2022-10-06 19:17:03 +01:00 |
|
|
2960d3b645
|
exception → warning
|
2022-10-06 18:26:40 +01:00 |
|
|
0ee6703c1e
|
Add todo and comment
|
2022-10-03 19:06:56 +01:00 |
|
|
2b182214ea
|
typo
|
2022-10-03 17:53:10 +01:00 |
|
|
92c380bff5
|
fiddle with Conv2DTranspose
you need to set the `stride` argument to actually get it to upscale..... :P
|
2022-10-03 17:51:41 +01:00 |
|
|
d544553800
|
fixup
|
2022-10-03 17:33:06 +01:00 |
|
|
058e3b6248
|
model_segmentation: cast float → int
|
2022-10-03 17:31:36 +01:00 |
|
|
04e5ae0c45
|
model_segmentation: redo reshape
much cheese was applied :P
|
2022-10-03 17:27:52 +01:00 |
|
|
deffe69202
|
typo
|
2022-10-03 16:59:36 +01:00 |
|
|
fc6d2dabc9
|
Upscale first, THEN convnext...
|
2022-10-03 16:38:43 +01:00 |
|
|
6a0790ff50
|
convnext_inverse: add returns; change ordering
|
2022-10-03 16:32:09 +01:00 |
|
|
fe813cb46d
|
slurm predict: fix plotting subcall
|
2022-10-03 16:03:26 +01:00 |
|
|
e51087d0a9
|
add reshape layer
|
2022-09-28 18:22:48 +01:00 |
|
|
a336cdee90
|
and continues
|
2022-09-28 18:18:10 +01:00 |
|
|
de47a883d9
|
missing units
|
2022-09-28 18:17:22 +01:00 |
|
|
b5e08f92fe
|
the long night continues
|
2022-09-28 18:14:09 +01:00 |
|
|
dc159ecfdb
|
and again
|
2022-09-28 18:11:46 +01:00 |
|
|
4cf0485e32
|
fixup... again
|
2022-09-28 18:10:11 +01:00 |
|
|
030d8710b6
|
fixup
|
2022-09-28 18:08:31 +01:00 |
|
|
4ee7f2a0d6
|
add water thresholding
|
2022-09-28 18:07:26 +01:00 |
|
|
404dc30f08
|
and again
|
2022-09-28 17:39:09 +01:00 |
|
|
4cd8fc6ded
|
segmentation: param name fix
|
2022-09-28 17:37:42 +01:00 |
|
|
41ba980d69
|
segmentationP implement dataset parser
|
2022-09-28 17:19:21 +01:00 |
|
|
d618e6f8d7
|
pretrain-predict: params.json → metadata.jsonl
|
2022-09-28 16:35:22 +01:00 |
|
|
e9e6139c7a
|
typo
|
2022-09-28 16:28:18 +01:00 |
|
|
3dee3d8908
|
update cli help
|
2022-09-28 16:23:47 +01:00 |
|
|
b836f7f70c
|
again
|
2022-09-27 19:06:41 +01:00 |
|
|
52dff130dd
|
slurm pretraian predict: moar logging
|
2022-09-27 19:05:54 +01:00 |
|
|
2d24174e0a
|
slurm pretrain predict: add $OUTPUT
|
2022-09-27 18:58:02 +01:00 |
|
|
7d0e3913ae
|
fix logging
|
2022-09-27 18:51:58 +01:00 |
|
|
d765b3b14e
|
fix crash
|
2022-09-27 18:43:43 +01:00 |
|
|
2cd59a01a5
|
slurm-pretrain-plot: add ARGS
|
2022-09-27 18:41:35 +01:00 |
|
|
f4d1d1d77e
|
just wh
|
2022-09-27 18:25:45 +01:00 |
|
|
4c24d69ae6
|
$d → +d
|
2022-09-27 18:17:07 +01:00 |
|
|
cdb19b4d9f
|
fixup
|
2022-09-27 18:13:21 +01:00 |
|
|
c4d3c16873
|
add some logging
|
2022-09-27 18:10:58 +01:00 |
|
|
3772c3227e
|
fixup
|
2022-09-27 17:57:21 +01:00 |
|
|
dbfa45a016
|
write params.json properly
|
2022-09-27 17:49:54 +01:00 |
|
|
a5455dc22a
|
fix import
|
2022-09-27 17:41:24 +01:00 |
|
|
d6ff3fb2ce
|
pretrain_predict fix write mode
|
2022-09-27 17:38:12 +01:00 |
|
|
f95fd8f9e4
|
pretrain-predict: add .tfrecord output function
|
2022-09-27 16:59:31 +01:00 |
|
|
30b8dd063e
|
fixup
|
2022-09-27 15:54:37 +01:00 |
|
|
3cf99587e4
|
Contraster: add gamma layer to load_model
|
2022-09-27 15:53:52 +01:00 |
|
|
9e9852d066
|
UMAP: 100k random
no labels.
|
2022-09-27 15:52:45 +01:00 |
|
|
58c65bdc86
|
slurm: allow predictions on gpu
|
2022-09-23 19:21:57 +01:00 |
|
|
d59de41ebb
|
embeddings: change title rendering; make even moar widererer
We need to see that parallel coordinates plot in detail
|
2022-09-23 18:56:39 +01:00 |
|
|
b4ddb24589
|
slurm plot: compute → highmem
|
2022-09-22 18:27:58 +01:00 |
|
|
df12470e78
|
flip conda and time
hopefully we can capture the exit code this way
|
2022-09-21 14:40:28 +01:00 |
|
|
5252a81238
|
vis: don't call add_subplot
|
2022-09-20 19:06:21 +01:00 |
|
|
32bb55652b
|
slurm predict: autoqueue UMAP plot
|
2022-09-16 19:36:57 +01:00 |
|
|
24c5263bf0
|
slurm predict-plot: fixup
|
2022-09-16 19:27:26 +01:00 |
|
|
7e9c119b04
|
slurm: fix job name
|
2022-09-16 19:20:59 +01:00 |
|
|
1574529704
|
slurm pretrain-predict: move to compute; make exclusive just in case
also shortent o 3 days
|
2022-09-16 19:17:42 +01:00 |
|
|
d7f5958af0
|
slurm: write new job files
|
2022-09-16 19:00:43 +01:00 |
|
|
a552cc4dad
|
ai vis: make parallel coordinates wider
|
2022-09-16 18:51:49 +01:00 |
|
|
a70794e661
|
umap: no min_dist
|
2022-09-16 17:09:09 +01:00 |
|
|
5778fc51f7
|
embeddings: fix title; remove colourmap
|
2022-09-16 17:08:04 +01:00 |
|
|
4fd852d782
|
fixup
|
2022-09-16 16:44:35 +01:00 |
|
|
fcab227f6a
|
cheese: set label for everything to 1
|
2022-09-16 16:42:05 +01:00 |
|
|
b31645bd5d
|
pretrain-plot: fix crash; remove water code
the model doesn't save the water encoder at this time
|
2022-09-16 16:24:07 +01:00 |
|
|
a5f03390ef
|
pretrain-plot: handle open w -> r
|
2022-09-16 16:14:30 +01:00 |
|
|
1103ae5561
|
ai: tweak progress bar
|
2022-09-16 16:07:16 +01:00 |
|
|
1e35802d2b
|
ai: fix embed i/o
|
2022-09-16 16:02:27 +01:00 |
|
|
ed94da7492
|
fixup
|
2022-09-16 15:51:26 +01:00 |
|
|
366db658a8
|
ds predict: fix filenames in
|
2022-09-16 15:45:22 +01:00 |
|
|
e333dcba9c
|
tweak projection head
|
2022-09-16 15:36:01 +01:00 |
|
|
6defd24000
|
bugfix: too many values to unpack
|
2022-09-15 19:56:17 +01:00 |
|
|
e3c8277255
|
ai: tweak the segmentation model structure
|
2022-09-15 19:54:50 +01:00 |
|
|
1bc8a5bf13
|
ai: fix crash
|
2022-09-15 19:37:06 +01:00 |
|
|
bd64986332
|
ai: implement batched_iterator to replace .batch()
...apparently .batch() means you get a BatchedDataset or whatever when you iterate it like a tf.function instead of the actual tensor :-/
|
2022-09-15 19:16:38 +01:00 |
|
|
ccd256c00a
|
embed rainfall radar, not both
|
2022-09-15 17:37:04 +01:00 |
|
|
2c74676902
|
predict → predict_on_batch
|
2022-09-15 17:31:50 +01:00 |
|
|
f036e79098
|
fixup
|
2022-09-15 17:09:26 +01:00 |
|
|
d5f1a26ba3
|
disable prefetching when predicting a thing
|
2022-09-15 17:09:09 +01:00 |
|
|
8770638022
|
ai: call .predict(), not the model itself
|
2022-09-14 17:41:01 +01:00 |
|
|
a96cefde62
|
ai: predict oops
|
2022-09-14 17:37:48 +01:00 |
|
|
fa3165a5b2
|
dataset: simplify dataset_predict
|
2022-09-14 17:33:17 +01:00 |
|
|
279e27c898
|
fixup
|
2022-09-14 17:16:49 +01:00 |
|
|
fad3313ede
|
fixup
|
2022-09-14 17:14:04 +01:00 |
|
|
1e682661db
|
ai: kwargs in from_checkpoint
|
2022-09-14 17:11:06 +01:00 |
|
|
6bda24d4da
|
ai: how did I miss that?!
bugfix ah/c
|
2022-09-14 16:53:43 +01:00 |
|
|
decdd434d8
|
ai from_checkpoint: bugfix
|
2022-09-14 16:49:01 +01:00 |
|
|
c9e00ea485
|
pretrain_predict: fix import
|
2022-09-14 16:02:36 +01:00 |
|
|
f568d8d19f
|
io.open → handle_open
this was we get transparent .gz support
|
2022-09-14 16:01:22 +01:00 |
|
|
9b25186541
|
fix --only-gpu
|
2022-09-14 15:55:21 +01:00 |
|
|
a9c9c70d13
|
typo
|
2022-09-14 15:17:59 +01:00 |
|
|
fb8f884487
|
add umap dependencies
|
2022-09-14 15:16:45 +01:00 |
|
|
1876a8883c
|
ai pretrain-predict: fix - → _ in cli parsing
|
2022-09-14 15:12:07 +01:00 |
|
|
f97b771922
|
make --help display help
|
2022-09-14 15:03:07 +01:00 |
|
|
3c1aef5913
|
update help
|
2022-09-13 19:36:56 +01:00 |
|
|
206257f9f5
|
ai pretrain_predict: no need to plot here anymore
|
2022-09-13 19:35:44 +01:00 |
|
|
7685ec3e8b
|
implement ability to embed & plot pretrained embeddings
|
2022-09-13 19:18:59 +01:00 |
|
|
7130c4fdf8
|
start implementing core image segmentation model
|
2022-09-07 17:45:38 +01:00 |
|
|
22620a1854
|
ai: implement saving only the rainfall encoder
|
2022-09-06 19:48:46 +01:00 |
|
|
4c4358c3e5
|
whitespace
|
2022-09-06 16:24:11 +01:00 |
|
|
4202821d98
|
typo
|
2022-09-06 15:37:36 +01:00 |
|
|
3e13ad12c8
|
ai Bugfix LayerContrastiveEncoder: channels → input_channels
for consistency
|
2022-09-05 23:53:16 +01:00 |
|
|
ead8009425
|
pretrain: add CLI arg for size of watch prediction width/height
|
2022-09-05 15:36:40 +01:00 |
|
|
9d39215dd5
|
dataset: drop incomplete batches
|
2022-09-05 15:36:10 +01:00 |
|
|
c94f5d042e
|
ai: slurm fixup again
|
2022-09-02 19:13:56 +01:00 |
|
|
7917820e59
|
ai: slurm fixup
|
2022-09-02 19:11:54 +01:00 |
|
|
cd104190e8
|
slurm: no need to be exclusive anymore
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2022-09-02 19:09:45 +01:00 |
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a9dede7bfe
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ai: n=10 slurm
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2022-09-02 19:09:07 +01:00 |
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42de502f99
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slurm-pretrain: set name
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2022-09-02 19:08:16 +01:00 |
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457c2eef0d
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ai: fixup
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2022-09-02 19:06:54 +01:00 |
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a3f03b6d8d
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slurm-pretrain: prepare
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2022-09-02 19:05:18 +01:00 |
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1d1533d160
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ai: how did things get this confusing
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2022-09-02 18:51:46 +01:00 |
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1c5defdcd6
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ai: cats
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2022-09-02 18:45:23 +01:00 |
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6135bcd0cd
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fixup
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2022-09-02 18:41:31 +01:00 |
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c33c0a0899
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ai: these shapes are so annoying
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2022-09-02 18:39:24 +01:00 |
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88acd54a97
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ai: off-by-one
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2022-09-02 18:13:48 +01:00 |
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23bcd294c4
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AI: 0.75 → 0.5?
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2022-09-02 18:12:51 +01:00 |
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b0e1aeac35
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ai: knew it
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2022-09-02 18:10:29 +01:00 |
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ef0f15960d
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send correct water shape to
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2022-09-02 18:09:36 +01:00 |
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ad156a9a00
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ai dataset: centre crop the water data to 75% original size
this should both help the model and reduce memory usage
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2022-09-02 18:05:32 +01:00 |
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efe41b96ec
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fixup
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2022-09-02 17:58:02 +01:00 |
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f8ee0afca1
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ai: fix arch_name plumbing
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2022-09-02 17:57:07 +01:00 |
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3d44831080
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Add NO_PREFETCH env var
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2022-09-02 17:55:04 +01:00 |
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3e0ca6a315
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ai: fix summary file writing; make water encoder smaller
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2022-09-02 17:51:45 +01:00 |
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389216b391
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reordering
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2022-09-02 17:31:19 +01:00 |
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b9d01ddadc
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summary logger → summarywriter
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2022-09-02 17:28:00 +01:00 |
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9f7f4af784
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dataset: properly resize
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2022-09-02 17:09:38 +01:00 |
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c78b6562ef
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debug adjustment
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2022-09-02 17:00:21 +01:00 |
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c89677abd7
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dataset: explicit reshape
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2022-09-02 16:57:59 +01:00 |
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c066ea331b
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dataset: namespace → dict
Python is so annoying
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2022-09-02 16:07:44 +01:00 |
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dbff15d4a9
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add bug comment
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2022-09-01 19:05:50 +01:00 |
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3e4128c0a8
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resize rainfall to be 1/2 size of current
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2022-09-01 18:47:07 +01:00 |
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8a86728b54
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ai: how did I miss that
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2022-09-01 18:07:53 +01:00 |
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b2f1ba29bb
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debug a
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2022-09-01 18:05:33 +01:00 |
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e2f621e212
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even moar debug logging
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2022-09-01 17:49:51 +01:00 |
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2663123407
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moar logging
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2022-09-01 17:40:23 +01:00 |
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c2fcb3b954
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ai: channels_first → channels_last
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2022-09-01 17:06:18 +01:00 |
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f1d7973f22
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ai: add dummy label
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2022-09-01 17:01:00 +01:00 |
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17d42fe899
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ai: json.dumps
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2022-09-01 16:21:52 +01:00 |
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