anomalib
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open-edge-platform
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
In the config file trainer part, if I set `auto_select_gpus: true` and `devices: 2`, I got an error like `AttributeError: Can't pickle local object 'FeatureExtractor.get_features..hook'`, it comes from this line...
sorry to bother you ! Where can I save the segmentation results separately？Because I want to get the specific coordinates of the defect. And I can't find the presion and...
I have another problem after dealing with #243 That is: ValueError: Either `preds` and `target` both should have the (same) shape (N, ...), or `target` should be (N, ...) and...
# Hello, I changed my image size in the config file after that my inference step didn't work. I got this warning. Can you help me ,please? UserWarning: Torchmetrics v0.9...
**`full_state_update` is not set, which has been introduced in Torchmetrics v0.9** Torchmetrics v0.9 introduced a new argument class property called `full_state_update` that has not been set for this class (AdaptiveThreshold)....
**Describe the bug** I trained padim on custom datset for classification purpose. The model trained well but i cannot infer using inference.py. When i run inference.py, it throws a value...
how to inference using NCS2 device? is there any sample code how to do?
The new Anomalib CLI has `threshold` and `normalization_method` parameters in the `metrics` section. However, this may not be intuitive. Instead, it would be better to create a `post_processing` to store...
Hello, I would like to ask myself how to add a new model
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An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.