注意：请务必将 your_api_key_here 替换为您实际获取的 API Key。
[cal]: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202520260AB1043
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# 下载 FRP 服务端 （以 Centos 为例）
GlyphNet’s own results support this: their best CNN (VGG16 fine-tuned on rendered glyphs) achieved 63-67% accuracy on domain-level binary classification. Learned features do not dramatically outperform structural similarity for glyph comparison, and they introduce model versioning concerns and training corpus dependencies. For a dataset intended to feed into security policy, determinism and auditability matter more than marginal accuracy gains.