Introduction to machine learning Python implementation of simple image classification

Small task: Achieve picture classification

1. Picture material

Python bulk compress jpg images: PiL library resize

http://blog.csdn.net/u012234115/article/details/50248409

2. Environment Construction

Installation version of Python under Windows comparison 2.7 vs 3.6
Https://pypi.python.org/pypi

Installation of the PIL Library under Windows

Https://pypi.python.org/pypi

Installation of the PIL Library under Windows

http://zjfsharp.iteye.com/blog/2311523

Installation and upgrade of PIP under Windows

http://blog.csdn.net/hello_programming/article/details/53981376

Pip Download acceleration

Http://www.jb51.net/article/98401.htm

3. Implementing the language

Python

https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000

For use for X in range (8)

function definition def variable parameter: Def calc (*numbers)

Slice (Slice) operator L[0:3]

isinstance function Map/reduce function Fiter function sorted function lambda x:x * x anonymous function @log Adorner

Class usage _private private variable class Dog (Animal): Inheritance constructor _init_

Use of the OS file path

Chinese path not supported

4. Classification algorithm

Kmeans algorithm Idea

http://blog.csdn.net/qll125596718/article/details/8243404/

5. Classification criteria

Selection and quantification of eigenvalues from simple to difficult

RGB to HSV

RGB to Grayscale value

Introduction to machine learning Python implementation of simple image classification