python 机器学习

python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

coursera课上的机器学习课程作业代码，里面的代码在matlab与octave中进行了一一实现。

None Coding not anything to do

675991+Keras图像深度学习实战.侯宜军%28带书签文字版%29(Keras Image Deep Learning Practical Combat. Hou Yijun%28 with Bookmark Text Version)

PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)

说明：  通过python 脚本在abaqus 创建模型(Creating model in ABAQUS through Python script)

熵权法matlab代码，直接在命令窗口输入数据即可进行计算。(Analytic Hierarchy Process Matlab Code)

bro联动防火墙的Python实现，分客服端和服务端，服务端把bro的报警信息定时发送到iptables，防火墙处理动作(Python implementation bro with Firewall, sub-customer side and service side, the server time to bro send alarm information to iptables, the firewall processing actions)

Python code to communicate with MaxStream ZigBee modules.

说明：  PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)