Possible bug in Inference part.
See original GitHub issueDescribe the bug
- Training and Validation work fine. But running inference.py gives a noisy heatmap. Tried only with patchcore, not tested rest.
To Reproduce Steps to reproduce the behavior:
- Go to https://www.kaggle.com/code/ipythonx/mvtec-ad-anomaly-detection-with-anomalib-library?scriptVersionId=94212905
- Open it to run.
- In the last cell (inference part), uncomment the code.
- Now, run the notebook and see the output of the last cell (inference part).
Expected behavior
- It should be ok so far.
Screenshots
Hardware and Software Configuration
- Env.: Kaggle
*Additional context
- Is OpenVino installation a must? I tried to run on the GCP instance (ubuntu) but faced opinion related issue through my checkpoint’s format (
ckpt
).
Issue Analytics
- State:
- Created a year ago
- Comments:5 (5 by maintainers)
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Top GitHub Comments
Thanks for the update. I’ll be closing the issue then
There was a bug in code in my side, which I fixed in latest (notebook) version. ( But I didn’t test with open-vino inference neither on kaggle environment or GCP. )