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Found 223 images belonging to 1 classes.
Found 24 images belonging to 1 classes.
INFO:autoencoder.autoencoder:initiating learning rate finder to determine best learning rate.
simulating training fo…
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Hello, thank you for your contribution to anomaly detection in the zero-shot learning domain. However, I have a question that I found in the code and I hope you can explain it. During the zero-shot pr…
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I want to use python to predict a picture,but I don't know how to start.Please help me ,thank you.
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Thank you for sharing!
Your clear and compact declaration inspired me a lot. But I get some issues assessing the validity of the evaluation. As we know, RD4AD was evaluated on the widely used MVTec…
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We plan to write a short summary for every implemented method in our wiki space.
Please follow the template below and write the draft here.
**Paper Title**
[![paper](https://img.shields.io/badg…
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Once we have the log clusters learnt by Drain,, we can enable anomaly detection without needing algorithms but simply plot them in time.
The idea is simple: if a type of log count surges or suddenl…
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I have tried some outlier detection datasets (ODDs) in this website like Annthyroid dataset (http://odds.cs.stonybrook.edu/annthyroid-dataset/).
However, when I compare some ordinary supervised mo…
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## Project Request
This project involves using deep learning and computer vision techniques to develop an algorithm to identify metastatic cancer in small image patches obtained from larger digit…
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**Describe the feature:**
The Single Metric Viewer currently adds markers for scheduled events from calendar(s) that have been added to an anomaly detection job. These are plotted against the results…
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When using -s or --save (without any further information of a path), the script tells me, that the path ...MVTec-Anomaly-Detection-master\\results\\mvtec/bottle\\baselineCAE\\l2\\04-10-2021_09-32-18\\…