This repository demonstrates YOLOv8-based license plate recognition with GCP Vision AI integration, enabling versatile real-world applications like vehicle identification, traffic monitoring, and geospatial analysis while capturing vital media metadata for enhanced insights.
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Fix 'Using xml.etree.ElementTree.parse to parse untrusted XML data is known to be vulnerable to XML attacks. Replace xml.etree.ElementTree.parse with its defusedxml equivalent function or make sure defusedxml.defuse_stdlib() is called' issue in xml2txt.py #2
CodeFactor found an issue: Using xml.etree.ElementTree.parse to parse untrusted XML data is known to be vulnerable to XML attacks. Replace xml.etree.ElementTree.parse with its defusedxml equivalent function or make sure defusedxml.defuse_stdlib() is called
CodeFactor found an issue: Using xml.etree.ElementTree.parse to parse untrusted XML data is known to be vulnerable to XML attacks. Replace xml.etree.ElementTree.parse with its defusedxml equivalent function or make sure defusedxml.defuse_stdlib() is called
It's currently on: xml2txt.py:38