Comments (1)
Albumentations probably won't work with lightly's collate functions, so to use albumentations over torchvision would probably require an entire rework of all the custom collate functions here. Instead, it would be better to re-implement whatever we need from albumentations as torchvision transforms. One that comes to mind is the OneOf
transform, which would be super useful for using DPWTransform
and DieNoise
(since both probably shouldn't be used at once, or they could but with a very low chance).
- Implement
OneOf
to use generic torchvision transforms.
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Related Issues (10)
- tensorboard embedding projector not working HOT 1
- Segmentation fault, CUDNN_STATUS_EXECUTION_FAILED, and launch time out HOT 1
- Point people in the new direction
- Die per wafer transform to simulate fixed root cause on different DPW products HOT 1
- knn_k isn't being used anywhere 😢😿
- Fix benchmarking scripts to correctly pass `knn_k` to each model (quick fix is just to unpack any additional arguments). Re-run all benchmarking scripts 🙃
- Also include torchmetric's ConfusionMatrix. Create a `test_step` PyTorch-Lightning-style to handle this at the end. Logging the output of this can be a bit tricky.
- Move all models to one location (a zoo 🦏🦍🦒🐘🐅) HOT 1
- Migrate to a new repo
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