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Releases: DimensionSTP/rppg-project

v3.2.0

22 Nov 05:33
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Fix PhysFormer(++) save and load path from epoch, not step.
Fix pred df path in predict.
Add default scripts.

v3.1.3

06 Nov 06:31
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Update save detail to clarify model hyper-parameters.
Improve code readability.

v3.1.2

30 Oct 10:00
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Updates combined distributed loss function.
Refactor following modules and configs.

v3.1.1

29 Oct 13:07
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Add PhysFormer++ model.
Able to select PhysFormer ++ or not at main config and tuner.
Set default model as PhysFormer++.

v3.1.0

27 Oct 12:35
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Able to use PhysFormer model(default).
Able to select num_workers of DataLoader using workers_ratio and using gpu devices.
Able to select num_workers of DataLoader using all cpu workers.
Fix tuner suggest param types at scheduler.
Refactor a scheduler.
Change some default parameter values.
Match optuna suggest ranges with default param values.

v3.0.0

16 Oct 09:14
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Scheduler works correctly.
Hyper-parameters(optimizer, scheduler) scientific notation.
Refactor some parameter names.
Python version and packages update.
Delete unnecessary dirs.
Fix typo.

v2.9.0

12 Aug 13:50
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Change default values of parameters to fit the task.
Get total number of train batches in whole training process correctly.
A scheduler type changes.
Save_top_k follows max_epochs.

v2.8.0

07 Aug 05:33
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Upload model based on upload_tag and model_detail.
Change default scripts.

v2.7.2

05 Aug 13:24
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Versions of libraries update.

v2.7.1

31 Jul 02:14
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Parameter names change clearly.
eta_min depends on LR.