camshift

在python3.5版本上运行该代码，可以计算邻域粗糙集的依赖度，并且作图

说明：  用N来表示训练用例（样本）的个数，M表示特征数目。 输入特征数目m，用于确定决策树上一个节点的决策结果；其中m应远小于M。 从N个训练用例（样本）中以有放回抽样的方式，取样N次，形成一个训练集（即bootstrap取样），并用未抽到的用例（样本）作预测，评估其误差。 对于每一个节点，随机选择m个特征，决策树上每个节点的决定都是基于这些特征确定的。根据这m个特征，计算其最佳的分裂方式。 每棵树都会完整成长而不会剪枝，这有可能在建完一棵正常树状分类器后会被采用）。(N is used to represent the number of training cases (samples), and M is used to represent the number of features. The number of input features m is used to determine the decision result of a node in the decision tree, where m should be far less than m. From N training cases (samples), n times are sampled in the way of put back sampling to form a training set (i.e. bootstrap sampling), and the unselected cases (samples) are used to predict and evaluate the error. For each node, m features are randomly selected, and the decision of each node in the decision tree is determined based on these features. According to these m characteristics, the best splitting mode is calculated. Each tree will grow completely without pruning, which may be adopted after building a normal tree classifier).)

Sherlock - Find usernames across social networks

mercurial 分布式版本控制软件指南，方便个人和工程使用，使用方便(mercurial distributed version control software)

webQQ 的Python实现，亲测可以使用(webQQ Python implementation, pro-test can be used)

提供了一种提取不规则区域的思路，基于opencv2.4.0、vs2010实现(Provides a method for extracting irregular areas of thinking, based opencv2.4.0, vs2010 achieve)

通过简单的爬虫 和 TK组件 制作了一个翻译小软件吗，仅供学习。

说明：  利用贝叶斯分类器，基于身高体重的男女性别分类(Using Bayesian classifier to judge men and women based on height and weight)

n=eval(input()) def x(n): if n<=3 and n>=0: return n else: return x(n-1)+x(n-2)+x(n-3) print(x(n))

说明：  通过加入空间注意力机制进行单幅图像的去雨，去雾操作(Remove the rain from the image with rain)