OPENCV HAAR级联验证集问题
我使用OpenCV创建了自己的HAAR级联分类器。它运行良好，但我根本不了解一个元素。我使用opencv_traincascade应用程序来创建级联。在 https：///www.face-face-fcece.orc.org/algorithms/algorithms/algorithms/algorithms/algorithms/boosting 描述级联算法时，有关于评估验证集级联阶段的信息
-genble/16981346.pdf noreferrer“>
据我所知，OpenCV实现主要基于本文。我想知道如何创建此验证集。使用OPENCV工具时，您仅假定设置正面图像和负面图像。我找不到有关OPENCV文档中设置的验证的任何信息。使用专用工具不会为用户提供空间来单独声明验证。我假设从声明的培训集中一些部分被视为验证，但找不到可以确认的信息。那么它到底是如何工作的呢？是否有一个方案，可以解释OpenCV如何创建级联反应？
I created my own Haar Cascade Classifier using OpenCV. It works well, but I simply do not understand one element. I used opencv_traincascade application to create cascade. In https://www.face-rec.org/algorithms/boosting-ensemble/16981346.pdf when cascading algorithm is described there is an information about evaluating stage of cascade on validation set
As far as I know OpenCV implementation is based mostly on this article. I was wondering how this validation set is created. When using OpenCV tools you suppose only to set positive images and negative. I do not find any information about validation set in OpenCV documentation. Using dedicated tools do not leave space for user to declarate validation set on his own. I assumed that from declareted training set some part is taken as validation, but I cannot find information that will confirm it. So how exactly it works? Is there a scheme, which explaining how opencv creating cascade?
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