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