any-tech/SPADE-fast
This is an unofficial implementation of the paper "Sub-Image Anomaly Detection with Deep Pyramid Correspondences".
This tool helps quality control inspectors or manufacturing engineers automatically spot defects in products using images. You input a collection of product images, and it identifies which images contain anomalies and highlights the exact regions where those flaws are located. This is ideal for quickly catching manufacturing errors without manual inspection.
No commits in the last 6 months.
Use this if you need to automate the visual inspection of manufactured goods to detect anomalies or defects efficiently.
Not ideal if your anomaly detection task doesn't involve visual data or if you require real-time, ultra-low latency processing for high-speed production lines.
Stars
22
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 24, 2023
Commits (30d)
0
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