Commit graph

200 commits

Author SHA1 Message Date
b53db648bf
fixup 2022-12-08 18:31:42 +00:00
18c0210704
typo 2022-12-08 17:00:25 +00:00
a3c9416cf0
LossCrossentropy: don't sum 2022-12-08 16:57:11 +00:00
08046340f4
dataset_mono: normalise heightmap 2022-12-08 16:10:34 +00:00
d997157f55
dataset_mono: log when using heightmap 2022-12-06 19:30:11 +00:00
d0f2e3d730
readfile: do transparent gzip by default
....but there's a glad to turn it off if needed
2022-12-06 19:27:39 +00:00
eac6472c97
Implement support for (optionally) taking a heightmap in 2022-12-06 18:55:58 +00:00
f92b2b3472
according to the equation it looks like it's 2 2022-12-02 17:22:46 +00:00
cad82cd1bc
CBAM: unsure if it's 1 ro 3 dense ayers in the shared mlp 2022-12-02 17:21:13 +00:00
62f6a993bb
implement CBAM, but it's UNTESTED
Convolutional Block Attention Module.
2022-12-02 17:17:45 +00:00
53dfa32685
model_mono: log learning rate 2022-12-01 15:10:51 +00:00
c384d55dff
add arg to adjust learning rate 2022-11-29 20:55:00 +00:00
8e23e9d341
model_segmenter: we're no longer using sparse 2022-11-29 19:28:27 +00:00
9a2b4c6838
dsseg: fix reshape/onehot ordering 2022-11-29 19:28:13 +00:00
df774146d9
dataset_segmenter: reshape, not squeeze 2022-11-29 19:24:54 +00:00
77b8a1a8db
dataset_segmenter: squeeze 2022-11-29 19:16:15 +00:00
01101ad30b
losscrossentropy: return the reduced value * facepalm * 2022-11-29 19:07:08 +00:00
37f196a785
LossCrossentropy: add kwargs 2022-11-29 15:40:35 +00:00
838ff56a3b
mono: fix loading checkpoint 2022-11-29 15:25:11 +00:00
dba6cbffcd
WHY. * facepalms * 2022-11-28 19:33:42 +00:00
57b8eb93fb
fixup 2022-11-28 19:09:35 +00:00
6640a41bb7
almost got it....? it's not what I expected....! 2022-11-28 19:08:50 +00:00
f48473b703
fixup 2022-11-28 19:00:11 +00:00
f6feb125e3
this iss ome serious debugging.
This commit will produce an extremely large volume of output.
2022-11-28 18:57:41 +00:00
09f81b0746
train_mono: debug
this commit will generate a large amount of debug output.
2022-11-28 16:46:17 +00:00
f39e4ade70
LayerConvNextGamma: fix config serialisation bug
.....this is unlikely to be the problem as this bug is in an unused code path.
2022-11-25 21:16:31 +00:00
105dc5bc56
missing kwargs 2022-11-24 17:51:29 +00:00
773944f9fa
train_mono_predict: initial implementation 2022-11-24 16:33:50 +00:00
3a0356929c
mono: drop the sparse 2022-11-22 16:20:56 +00:00
7e8f63f8ba
fixup 2022-11-21 19:38:24 +00:00
ace4c8b246
dataset_mono: debug 2022-11-21 18:46:21 +00:00
527b34942d
convnext_inverse: kernel_size 4→2 2022-11-11 19:29:37 +00:00
0662d0854b
model_mono: fix bottleneck 2022-11-11 19:11:40 +00:00
73acda6d9a
fix debug logging 2022-11-11 19:08:38 +00:00
9da059d738
model shape logging 2022-11-11 19:03:37 +00:00
00917b2698
dataset_mono: log shapes 2022-11-11 19:02:43 +00:00
54ae88b1b4
in this entire blasted project I have yet to get the rotation of anything correct....! 2022-11-11 18:58:45 +00:00
a7a475dcd1
debug 2 2022-11-11 18:38:07 +00:00
bf2f6e9b64
debug logging
it begins again
2022-11-11 18:31:40 +00:00
481eeb3759
mono: fix dataset preprocessing
rogue dimension
2022-11-11 18:31:27 +00:00
9035450213
mono: instantiate right model 2022-11-11 18:28:29 +00:00
8ac5159adc
dataset_mono: simplify param passing, onehot+threshold water depth data 2022-11-11 18:23:50 +00:00
3a3f7e85da
typo 2022-11-11 18:03:09 +00:00
3313f77c88
Add (untested) mono rainfall → water depth model
* sighs *
Unfortunately I can't seem to get contrastive learning to work.....
2022-11-10 22:36:11 +00:00
9384b89165
model_segmentation: spare → normal crossentropy, activation functions at end 2022-11-10 20:53:37 +00:00
b6676e7361
switch from sparse to normal crossentropy 2022-11-10 20:50:56 +00:00
d8be26d476
Merge branch 'main' of git.starbeamrainbowlabs.com:sbrl/PhD-Rainfall-Radar 2022-11-10 20:49:01 +00:00
b03388de60
dataset_segmenter: DEBUG: fix water shape 2022-11-10 20:48:21 +00:00
daf691bf43
typo 2022-11-10 19:55:00 +00:00
0aa2ce19f5
read_metadata: support file inputs as well as dirs 2022-11-10 19:53:30 +00:00