Commit graph

628 commits

Author SHA1 Message Date
f0a2e7c450
dlr: print values of new env vars 2023-05-04 19:42:40 +01:00
8593999eb6
dlr: add JIT_COMPILE 2023-05-04 18:22:18 +01:00
dddc08c663
dlr: set steps_per_execution to 16 by default 2023-05-04 18:13:08 +01:00
e2e6a56b40
dlr: add UPSAMPLE env var
...AND actually add the functionality this time!
2023-05-04 17:40:16 +01:00
31687da931
celldice: actually do log(cosh())
....just wow.
2023-05-03 15:00:10 +01:00
4a4df380e3
if name == main 2023-03-23 18:09:52 +00:00
81cad8e6b4
newline 2023-03-23 18:01:21 +00:00
1bd59dc038
finish script to plot generic metrics 2023-03-23 18:00:00 +00:00
698bbe2ffb
start working on plotting script, but it isn't finished yet 2023-03-22 17:45:06 +00:00
6b17d45aad
dlr: plot all metrics 2023-03-22 17:41:34 +00:00
e565c36149
deeplabv3+: prepare for ConvNeXt 2023-03-14 21:51:41 +00:00
779b546897
dlr: log new env vars 2023-03-14 20:28:22 +00:00
623208ba6d
dlr: add env var for water thresholding 2023-03-14 20:18:39 +00:00
c5fc62c411
dlr CHANGE: Add optional log(cosh(dice_loss))
Ref https://doi.org/10.1109/cibcb48159.2020.9277638
2023-03-10 20:24:13 +00:00
f25d1b5b1a
dlr CHANGE: properly normalise the heightmap 2023-03-10 19:13:32 +00:00
8e76ac2864
dlr: typo 2023-03-10 17:40:16 +00:00
5e79825292
dlr: tf.Tensor → numpy array → list → json → disk 2023-03-10 17:34:49 +00:00
b287970032
dlr: missing import 2023-03-10 17:31:03 +00:00
e6cd0aa1b9
dlr: fix crash 2023-03-10 17:14:06 +00:00
cf37aeb11a
dlr: truncate jsonl before we start to avoid mixing things up 2023-03-10 17:11:10 +00:00
5fdf229d06
dlr: write raw outputs to jsonl file 2023-03-10 17:07:44 +00:00
d24381babb
dlr: make size fo prediction graph actually sensible 2023-03-09 19:54:27 +00:00
8d932757b5
dlr: variable name typo 2023-03-09 19:44:39 +00:00
b6ca885fe2
dlr: told you so 2023-03-09 19:43:35 +00:00
f9df19cfd5
dlr: next of several typos 2023-03-09 19:34:45 +00:00
96eae636ea
dir: add missing functions to .load() custom objs
apparently metrics are also required to be included here...
2023-03-09 19:26:57 +00:00
ad52ae9241
dir: also plot inputs 2023-03-09 19:13:25 +00:00
436ab78438
dlr: when predicting, also display heatmap
...of positive predictions
2023-03-09 18:54:28 +00:00
5195fe6b62
jupyter test: heatmaps in matplotlib & seaborn 2023-03-09 18:52:56 +00:00
45c76ba252
typo 2023-03-03 22:46:02 +00:00
c909cfd3d1
fixup 2023-03-03 22:45:34 +00:00
0734201107
dlr: tf graph changes 2023-03-03 22:44:49 +00:00
750f46dbd2
debug 2023-03-03 22:39:30 +00:00
5472729f5e
dlr: fixup argmax & y_true/y_pred 2023-03-03 22:37:36 +00:00
bc734a29c6
y_true is one-hot, convert to sparse 2023-03-03 22:20:11 +00:00
c7b577ab29
specificity: convert to plaintf 2023-03-03 22:16:48 +00:00
26cc824ace
dlr: MeanIoU fixup 2023-03-03 22:10:49 +00:00
e9dcbe3863
dlr: fixup 2023-03-03 22:09:05 +00:00
5c6789bf40
meaniou: implement one-hot version
it expects sparse, but our output is one-hot.
2023-03-03 22:04:21 +00:00
6ffda40d48
fixup 2023-03-03 21:54:45 +00:00
9b13e9ca5b
dlr: fixup argmax first 2023-03-03 21:51:24 +00:00
7453c607ed
argmax for sensitivity & specificity too 2023-03-03 21:49:33 +00:00
8470aec996
dlr: fixup 2023-03-03 21:45:51 +00:00
3d051a8874
dlr: HACK: argmax to convert [64,128,128, 2] → [64,128,128] 2023-03-03 21:41:26 +00:00
94a32e7144
dlr: fix metrics 2023-03-03 20:37:22 +00:00
c7f96ab6ab
dlr: typo 2023-03-03 20:23:03 +00:00
06f956dc07
dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values
Ref recent experiments
2023-03-03 20:17:08 +00:00
b435cc54dd
dlr: add sensitivity (aka recall) and specificity metrics 2023-03-03 20:00:05 +00:00
483ecf11c8
add specificity metric 2023-03-03 19:35:20 +00:00
d464c9f57d
dlr: add dice loss as metric
more metrics to go tho
2023-03-03 19:34:55 +00:00