Commit graph

237 commits

Author SHA1 Message Date
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
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
1958c4e6c2
encoderonly model: getting there 2023-01-09 19:33:41 +00:00
52cf66ca32
start working on a quick encoder test, but it's far from finished 2023-01-06 19:55:52 +00:00
4563fe6b27
dpl: fix moar crashes 2023-01-05 19:03:44 +00:00
fefeb5d531
fix water depth fiddling 2023-01-05 19:01:20 +00:00
46d1f5e4e0
dataset_mono: fix dataset parsing 2023-01-05 19:00:52 +00:00
aca7b83a78
dataset_mono: fix sizing
it didn't account for rainfall_scale_up
2023-01-05 18:38:47 +00:00
19bb2fcac0
debug 2023-01-05 18:32:22 +00:00
ef5071b569
DeepLabV3+: start working on version for rainfall radar, but it's not finished yet 2022-12-15 19:33:14 +00:00
eb47f8f544
dataset_mono: adjust to suit DeepLabV3+ too 2022-12-13 18:37:38 +00:00
4e4d42a281
LossDice: add comment 2022-12-12 18:34:20 +00:00
449bc425a7
LossDice: explicitly cast inputs to float32 2022-12-12 17:20:32 +00:00
dbf8f5617c
drop activation function in last layers 2022-12-12 17:20:04 +00:00
bcd2f1251e
LossDice: Do 1 - thing instead of -thing 2022-12-09 19:41:32 +00:00
d0dbc50bb7
debug 2022-12-09 19:33:28 +00:00
2142bb039c
again 2022-12-09 19:30:01 +00:00
7000b0f193
fixup 2022-12-09 19:23:35 +00:00
85012d0616
fixup 2022-12-09 19:18:03 +00:00
719d8e9819
strip channels layer at end 2022-12-09 19:11:00 +00:00
0129c35a35
LossDice: remove weird K.* functions 2022-12-09 19:06:26 +00:00
659fc97fd4
fix crash 2022-12-09 18:39:27 +00:00
e22c0981e6
actually use dice loss 2022-12-09 18:35:17 +00:00
649c262960
mono: switch loss from crossentropy to dice 2022-12-09 18:13:37 +00:00
2a1772a211
confvnext_intrevse: add shallow 2022-12-08 19:10:12 +00:00
3dde9b69da
fixup 2022-12-08 18:56:32 +00:00
6fce39f696
WHY?!?!?! 2022-12-08 18:55:53 +00:00
26766366fc
I hate the python code intelligence
it's bad
2022-12-08 18:55:15 +00:00
ff56f591c7
I hate python 2022-12-08 18:53:37 +00:00
d37e7224f5
train-mono: tidy up arg passing 2022-12-08 18:47:03 +00:00
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