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5d62e3cee8
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Implement env from PhD-smflooding-scene
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2024-08-29 16:43:29 +01:00 |
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0f9f185983
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dlr: add PARALLEL_READS env var, update docs
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2023-11-30 16:33:22 +00:00 |
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7869505cfb
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dlr: add PREDICT_AS_ONE
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2023-06-16 18:23:40 +01:00 |
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3be38823db
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dlr: fix another crash
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2023-05-19 22:00:23 +01:00 |
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3e42972fb0
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dlr: add comment
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2023-05-11 17:45:52 +01:00 |
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535bd6f579
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dlr: fix crash
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2023-05-07 19:00:02 +01:00 |
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ac040717e6
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autoset the value of factor
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2023-05-04 19:57:02 +01:00 |
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214afcc914
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dlr: steps per execution is ugh
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2023-05-04 19:54:51 +01:00 |
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f0a2e7c450
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dlr: print values of new env vars
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2023-05-04 19:42:40 +01:00 |
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8593999eb6
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dlr: add JIT_COMPILE
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2023-05-04 18:22:18 +01:00 |
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dddc08c663
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dlr: set steps_per_execution to 16 by default
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2023-05-04 18:13:08 +01:00 |
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e2e6a56b40
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dlr: add UPSAMPLE env var
...AND actually add the functionality this time!
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2023-05-04 17:40:16 +01:00 |
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6b17d45aad
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dlr: plot all metrics
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2023-03-22 17:41:34 +00:00 |
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e565c36149
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deeplabv3+: prepare for ConvNeXt
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2023-03-14 21:51:41 +00:00 |
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779b546897
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dlr: log new env vars
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2023-03-14 20:28:22 +00:00 |
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623208ba6d
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dlr: add env var for water thresholding
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2023-03-14 20:18:39 +00:00 |
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c5fc62c411
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dlr CHANGE: Add optional log(cosh(dice_loss))
Ref https://doi.org/10.1109/cibcb48159.2020.9277638
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2023-03-10 20:24:13 +00:00 |
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8e76ac2864
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dlr: typo
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2023-03-10 17:40:16 +00:00 |
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5e79825292
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dlr: tf.Tensor → numpy array → list → json → disk
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2023-03-10 17:34:49 +00:00 |
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b287970032
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dlr: missing import
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2023-03-10 17:31:03 +00:00 |
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e6cd0aa1b9
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dlr: fix crash
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2023-03-10 17:14:06 +00:00 |
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cf37aeb11a
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dlr: truncate jsonl before we start to avoid mixing things up
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2023-03-10 17:11:10 +00:00 |
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5fdf229d06
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dlr: write raw outputs to jsonl file
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2023-03-10 17:07:44 +00:00 |
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d24381babb
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dlr: make size fo prediction graph actually sensible
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2023-03-09 19:54:27 +00:00 |
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8d932757b5
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dlr: variable name typo
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2023-03-09 19:44:39 +00:00 |
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b6ca885fe2
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dlr: told you so
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2023-03-09 19:43:35 +00:00 |
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f9df19cfd5
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dlr: next of several typos
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2023-03-09 19:34:45 +00:00 |
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96eae636ea
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dir: add missing functions to .load() custom objs
apparently metrics are also required to be included here...
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2023-03-09 19:26:57 +00:00 |
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ad52ae9241
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dir: also plot inputs
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2023-03-09 19:13:25 +00:00 |
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436ab78438
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dlr: when predicting, also display heatmap
...of positive predictions
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2023-03-09 18:54:28 +00:00 |
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0734201107
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dlr: tf graph changes
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2023-03-03 22:44:49 +00:00 |
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e9dcbe3863
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dlr: fixup
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2023-03-03 22:09:05 +00:00 |
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5c6789bf40
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meaniou: implement one-hot version
it expects sparse, but our output is one-hot.
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2023-03-03 22:04:21 +00:00 |
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3d051a8874
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dlr: HACK: argmax to convert [64,128,128, 2] → [64,128,128]
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2023-03-03 21:41:26 +00:00 |
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94a32e7144
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dlr: fix metrics
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2023-03-03 20:37:22 +00:00 |
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c7f96ab6ab
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dlr: typo
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2023-03-03 20:23:03 +00:00 |
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06f956dc07
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dlr: default LOSS, EPOCHS, and PREDICT_COUNT to better values
Ref recent experiments
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2023-03-03 20:17:08 +00:00 |
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b435cc54dd
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dlr: add sensitivity (aka recall) and specificity metrics
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2023-03-03 20:00:05 +00:00 |
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d464c9f57d
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dlr: add dice loss as metric
more metrics to go tho
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2023-03-03 19:34:55 +00:00 |
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f70083bea4
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dlr eo: set custom_objects when loading model
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2023-03-01 17:19:10 +00:00 |
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4fd9feba4f
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dlr eo: tidyup
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2023-03-01 16:47:36 +00:00 |
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69b5ae8838
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dlr eo: this should fix it
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2023-02-23 17:24:30 +00:00 |
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9f1cee2927
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dlr eo: cheese it by upsampling and then downsampling again
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2023-02-23 16:47:00 +00:00 |
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7bcf13f8d8
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dlr: typo
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2023-01-16 18:02:09 +00:00 |
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0b31c9e700
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log start time, end time, and elapsed
just in case...!
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2023-01-16 17:30:20 +00:00 |
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82e01da70b
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fixup.... again
oops
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2023-01-13 18:47:29 +00:00 |
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7b10f5c5fe
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dlr: add learning_rate env var
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2023-01-13 18:29:39 +00:00 |
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be77f035c8
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dlr: add cross-entropy + dice loss fn option
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2023-01-13 17:58:00 +00:00 |
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b2a5acaf4e
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dlr dsm: clash
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2023-01-13 17:26:38 +00:00 |
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3c4d1c5140
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dlr: Add support for stripping isolated water pixels
That is, water pixels that have no other water pixels immediately adjacent thereto (diagonals count).
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2023-01-13 16:57:26 +00:00 |
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