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Test metrics - #21
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Test metrics#21
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ziw-liu
added this to the
0.1.0: 2.5D UNet for 3D virtual staining using pytorch lightning milestone
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Edit: sorry it was due to stale cache, all green now. |
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The CSV logger makes a small annoyance by not saving the config to the |
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At test time half precision is not stable enough for metrics involving ops like exponentials or square roots. |
ziw-liu
marked this pull request as ready for review
July 15, 2023 06:01
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Implement the computation of evaluation metrics as the test stage in the lightning module.
Replaced the custom metrics functions with TorchMetrics. Most of them are GPU-accelerated.
Added mAP and other COCO-style metrics.
The regression metrics are computed on each slice of the input images, and the segmentation metrics are only computed if there is an associated mask. This makes some assumptions about the file name of the masks.
Closes #19.