Comments (3)
Look like the issue that @blakshma is having with the CFlow implementation is quite similar to this if not the same. @djdameln is trying to move the metric computation to the cpu, which would hopefully resolve the issue.
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Should we limit number of samples used to calculate pixel level threshold? This might be a bigger problem if users are uploading 1000's of images.
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yeah, this is on our agenda. For now this PR will move the computation to cpu.
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Related Issues (20)
- [Bug]: Wrong keys in data configs
- Question about ensemble tiler tool HOT 2
- Small Defects detection using efficient_ad HOT 9
- [Bug]: Extracting confusion matrix as a test metric
- [Bug]: config upgrade does not work HOT 2
- [Bug]: System unresponsive while executing class SpawnProcess in context.py HOT 8
- [Bug]: CS-Flow torch model export fails with wandb version >0.15.9 HOT 2
- [Bug]: Padim doesn't support metrics AUPR HOT 4
- [Bug]: FileNotFoundError in "001_getting_started" tutorial HOT 7
- [Task]: Throughput in benchmarking
- [Task]: Add logger to write to csv files.
- [Task]: Restore metric logging to third-party loggers in Benchmarking Pipeline HOT 1
- Modify the configuration parameters in the model and data, but the generated configuration file after training shows that these parameters are still the default values, not the values I modified[Bug]:
- [Task]: patchcore whether fp16 is supported HOT 1
- The ReadMe file under csflow needs to be updated HOT 1
- [Task]: GPU is False HOT 7
- Information about tiling on custom dataset HOT 1
- How to avoid Runtime Error HOT 1
- [Bug]: Tiling does not work with ReverseDistillation
- [Bug]: RuntimeError("Please call `iter(combined_loader)` first.") HOT 2
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