Update Prob-DA Source UNet Parameters #115
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| @@ -212,11 +215,11 @@ def _parse_aug(aug): | |||
| return loader | |||
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| def get_supervised_loader(args, split, cell_type): | |||
| patch_shape = (512, 512) | |||
| def get_supervised_loader(args, split, cell_type, batch_size): | |||
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The supervised loader is used in unet_adamt as well, so you need to update the code there as well.
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Updated it just now in the unet_adamt.py training script.
| @@ -212,11 +215,11 @@ def _parse_aug(aug): | |||
| return loader | |||
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| def get_supervised_loader(args, split, cell_type): | |||
| patch_shape = (512, 512) | |||
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Let's change this in the unsupervised loader as well.
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Updated this as well (however, I am now curious to see how the joint training setup works with more context - (512, 512))
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save_rootargument in theevaluate_source_modelfunction to route the checkpoints from desired path