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Scikit-image 实战指南:10 个让 CV 模型更稳健的预处理技巧
在计算机视觉工程落地中我们常遇到一种现象:模型在验证集上表现完美,但是一旦部署到生产环境准确率却莫名下跌。这种“性能衰退”往往不源于模型架构本身而是归咎于预处理管道的脆弱性。数据类型的隐式转换、缩放算法的细微差异、或是未被矫正的 ...
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