Commit graph

334 commits

Author SHA1 Message Date
67b8a2c6c0
spaces → spaces 2023-01-05 19:17:44 +00:00
56a501f8a9
weights="imagenet" only works with 3 image channels 2023-01-05 19:09:31 +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
6a4f68a055
missing import 2023-01-05 18:26:33 +00:00
0d4cc63b76
dl rainfall: fix env var name 2023-01-05 17:42:20 +00:00
dd79fb6e68
fixup 2023-01-05 17:09:09 +00:00
c17e53ca75
deeplabv3+ for rainfall 2022-12-16 19:52:59 +00:00
423e277ed1
add comment 2022-12-15 19:33:25 +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
15a3150127
DeepLabV3+: close each matplotlib figure after writing it 2022-12-15 19:14:07 +00:00
6ce121f861
DeepLabV3+: have argument for number of channels 2022-12-14 17:36:30 +00:00
1dc2ec3a46
DeepLabV3+: pathing.... again 2022-12-13 18:51:09 +00:00
eb47f8f544
dataset_mono: adjust to suit DeepLabV3+ too 2022-12-13 18:37:38 +00:00
440e693dfc
DeepLabv3+: fix pathing again 2022-12-13 18:26:00 +00:00
7e1f271bf4
deeplabv3+: fix colourmap 2022-12-13 14:02:10 +00:00
4d8ce792c9
ddeeplabv3+: fix imports/pathing errors 2022-12-13 13:38:27 +00:00
fc43f145c2
if not 2022-12-13 13:28:09 +00:00
d907dc48e5
DeepLabv3+: add logging 2022-12-13 13:20:16 +00:00
be4d928319
deeplabv3+: chmod +x 2022-12-13 13:06:42 +00:00
91846079b2
deeplabv3+ tesst: add shebang 2022-12-13 12:56:14 +00:00
8866960017
TEST SCRIPT: deeplabv3
ref https://keras.io/examples/vision/deeplabv3_plus/
dataset ref https://drive.google.com/uc?id=1B9A9UCJYMwTL4oBEo4RZfbMZMaZhKJaz

(the code is *terrible* spaghetti....!)
2022-12-12 19:20:07 +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
7fd7c750d6
jupyter: identity test
status: FAILED, as usual....!
Don't worry though, 'cause we has a *planses*..... MUHAHAHAHAHAHAHA
* cue evil laugh *
2022-12-09 18:07:56 +00:00
cf9e8aa237
jupyter: convnext-mono identity test 2022-12-09 15:50:27 +00:00
2a1772a211
confvnext_intrevse: add shallow 2022-12-08 19:10:12 +00:00
c27869630a
I hate VSCode's git commit interface
it doesn't let you ammend
2022-12-08 18:58:54 +00:00
b3345963f3
missing arg pass 2022-12-08 18:58:32 +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