单例模式也就是保证一个类只有一个实例的一种实现方法罢了(设计模式其实就是帮助我们解决实际开发过程中的方法, 该方法是为了降低对象之间的耦合度,

将一个类的接口转换成客户期望的另一个接口，适配器让原本接口不兼容的类可以相互合作。这个定义还好，说适配器的功能就是把一个接口转成另一个接口。

委派模式(Delegate Pattern ) 又叫委托模式， 是一种面向对象的设计模式， 允许对象组合实现与 继承相同的代码重用。它的基本作用就是负责任务的调用和

1. PySOT PySOT is a software system designed by SenseTime Video Intelligence Research team. It implements state-of-the-art single object tracking algorithms, including SiamRPN and SiamMask. It is written in Python and powered by the PyTorch deep learning framework. This project also contains a Python port of toolkit for evaluating trackers. The goal of PySOT is to provide a high-quality, high-performance codebase for visual tracking research. It is designed to be

0. Preprocessing preprocessing.Binarizer(*[, threshold, copy]) Binarize data (set feature values to 0 or 1) according to a threshold. preprocessing.FunctionTransformer([func, …]) Constructs a transformer from an arbitrary callable. preprocessing.KBinsDiscretizer([n_bins, …]) Bin continuous data into intervals. preprocessing.KernelCenterer() Center a kernel matrix. preprocessing.LabelBinarizer(*[, neg_label, …]) Binarize labels in a one-vs-all fashion. preprocessing.LabelEncoder() Encode target labels with value between 0 and n_classes-1. preprocessing.MultiLabelBinarizer(*[, …]) Transform between

Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities. 1. Fit&Predict The samples matrix (or design matrix) (https://scikit-learn.org/stable/glossary.html#term-X). The size of X is typically (n_samples, n_features), which means that samples are represented as rows and features are represented as columns. The target values y which are real