C1nDeRainBo0M/AGCA
The core code of AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection
This module helps quality control engineers in steel production automatically identify surface defects on steel images. It takes raw steel surface images as input and processes them to highlight potential flaws, ensuring product quality. It's designed for professionals overseeing the integrity and quality of steel products.
No commits in the last 6 months.
Use this if you are responsible for quality control in steel manufacturing and need to improve the accuracy of automated defect detection in steel surface images.
Not ideal if your defect detection needs are for natural images or other materials besides steel.
Stars
32
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jul 12, 2023
Commits (30d)
0
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