Python: OpenCV

Introduction

OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

Installation

Python: Intalling opencv.

Notes

[1] Color image loaded by OpenCV is in BGR mode. But Matplotlib displays in RGB mode.

References

[1] OpenCV official Site.

[2] OpenCV-Python Tutorials.

全国标准信息公共服务平台

在线地址，部分标准不能查阅全文。

References

[1] 2017年怎样免费查询、阅读和下载国家标准？

Python+Arcpy: Interpolating Using IDW or Kriging

已知：一个Point Shapefile文件，基于其中的字段完成由点及面的插值工作。

先以IDW反距离加权方法插值，方法：体会Idw，或者IDW_ga。插值如下：

Fig. 1

File.rar

Kriging未来再加入。

References

[1] How IDW works?

Create a Point Shapefile based on Lon/Lat imported by a Excel file

已知：Excel文件sheet表中包含气象站点的某类数据，并附上站点的经度与纬度，试探讨如何将该数据生成Point Shapefile文件，并为各个Point添加属性字段及赋值？

方法：Python+xlrd读取Excel文件中的sheet内容，Python+Arcpy实现Point Shapefile文件创建及其字段添加及赋值环节。

认真体会CopyFeatures_management、AddField_management、UpdateCursor。

运行结果如Fig. 1，红框表示添加字段及赋值后的属性表。File.rar.

Fig. 1