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fe43ddfbf9
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start implementing driver for train_predict, but not finished yet
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2022-10-18 19:37:55 +01:00 |
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f12e6ab905
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No need for a CLI arg for feature_dim_in - metadata should contain this
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2022-10-13 17:37:16 +01:00 |
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32f5200d3b
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pass model_arch properly
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2022-10-12 16:50:06 +01:00 |
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5933fb1061
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fixup
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2022-10-11 19:23:41 +01:00 |
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f4a2c742d9
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typo
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2022-10-11 19:19:23 +01:00 |
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11f91a7cf4
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train: add --arch; default to convnext_i_xtiny
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2022-10-11 19:18:01 +01:00 |
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5666c5a0d9
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typo
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2022-10-10 18:12:51 +01:00 |
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131c0a0a5b
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pretrain-predict: create dir if not exists
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2022-10-10 18:00:55 +01:00 |
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f883986eaa
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Bugfix: modeset to enable TFRecordWriter instead of bare handle
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2022-10-06 20:07:59 +01:00 |
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9f3ae96894
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finish wiring for --water-size
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2022-10-06 19:21:50 +01:00 |
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4ee7f2a0d6
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add water thresholding
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2022-09-28 18:07:26 +01:00 |
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404dc30f08
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and again
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2022-09-28 17:39:09 +01:00 |
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4cd8fc6ded
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segmentation: param name fix
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2022-09-28 17:37:42 +01:00 |
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41ba980d69
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segmentationP implement dataset parser
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2022-09-28 17:19:21 +01:00 |
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d618e6f8d7
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pretrain-predict: params.json → metadata.jsonl
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2022-09-28 16:35:22 +01:00 |
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d765b3b14e
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fix crash
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2022-09-27 18:43:43 +01:00 |
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f4d1d1d77e
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just wh
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2022-09-27 18:25:45 +01:00 |
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4c24d69ae6
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$d → +d
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2022-09-27 18:17:07 +01:00 |
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cdb19b4d9f
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fixup
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2022-09-27 18:13:21 +01:00 |
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c4d3c16873
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add some logging
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2022-09-27 18:10:58 +01:00 |
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3772c3227e
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fixup
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2022-09-27 17:57:21 +01:00 |
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dbfa45a016
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write params.json properly
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2022-09-27 17:49:54 +01:00 |
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a5455dc22a
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fix import
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2022-09-27 17:41:24 +01:00 |
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d6ff3fb2ce
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pretrain_predict fix write mode
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2022-09-27 17:38:12 +01:00 |
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f95fd8f9e4
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pretrain-predict: add .tfrecord output function
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2022-09-27 16:59:31 +01:00 |
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4fd852d782
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fixup
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2022-09-16 16:44:35 +01:00 |
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b31645bd5d
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pretrain-plot: fix crash; remove water code
the model doesn't save the water encoder at this time
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2022-09-16 16:24:07 +01:00 |
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a5f03390ef
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pretrain-plot: handle open w -> r
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2022-09-16 16:14:30 +01:00 |
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1103ae5561
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ai: tweak progress bar
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2022-09-16 16:07:16 +01:00 |
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1e35802d2b
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ai: fix embed i/o
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2022-09-16 16:02:27 +01:00 |
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1bc8a5bf13
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ai: fix crash
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2022-09-15 19:37:06 +01:00 |
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a96cefde62
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ai: predict oops
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2022-09-14 17:37:48 +01:00 |
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1e682661db
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ai: kwargs in from_checkpoint
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2022-09-14 17:11:06 +01:00 |
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c9e00ea485
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pretrain_predict: fix import
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2022-09-14 16:02:36 +01:00 |
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f568d8d19f
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io.open → handle_open
this was we get transparent .gz support
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2022-09-14 16:01:22 +01:00 |
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9b25186541
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fix --only-gpu
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2022-09-14 15:55:21 +01:00 |
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1876a8883c
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ai pretrain-predict: fix - → _ in cli parsing
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2022-09-14 15:12:07 +01:00 |
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206257f9f5
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ai pretrain_predict: no need to plot here anymore
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2022-09-13 19:35:44 +01:00 |
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7685ec3e8b
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implement ability to embed & plot pretrained embeddings
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2022-09-13 19:18:59 +01:00 |
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4c4358c3e5
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whitespace
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2022-09-06 16:24:11 +01:00 |
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4202821d98
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typo
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2022-09-06 15:37:36 +01:00 |
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ead8009425
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pretrain: add CLI arg for size of watch prediction width/height
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2022-09-05 15:36:40 +01:00 |
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c33c0a0899
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ai: these shapes are so annoying
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2022-09-02 18:39:24 +01:00 |
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88acd54a97
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ai: off-by-one
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2022-09-02 18:13:48 +01:00 |
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23bcd294c4
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AI: 0.75 → 0.5?
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2022-09-02 18:12:51 +01:00 |
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b0e1aeac35
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ai: knew it
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2022-09-02 18:10:29 +01:00 |
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ef0f15960d
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send correct water shape to
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2022-09-02 18:09:36 +01:00 |
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c78b6562ef
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debug adjustment
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2022-09-02 17:00:21 +01:00 |
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51cf08a386
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ResNetRSV2 → ConvNeXt
ironically this makes the model simpler o/
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2022-08-31 18:51:01 +01:00 |
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dbf929325a
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typo; add pretrain slurm job file
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2022-08-31 16:32:17 +01:00 |
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15a3519107
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ai: the best thing about implementing a model is that you don't have to test it on the same day :P
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2022-08-11 18:26:28 +01:00 |
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