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Xiao Qiang learns python+opencv -1.4.1 translation, rotation, scaling, flip-practice __python

Xiao Qiang learns python+opencv -1.4.1 translation, rotation, scaling, flip-practice Xiao Qiang learns the Pythonopencv of 141 translation rotation and scaling flip summary of translation rotation Zoom summary Below, we translate, rotate, scale,

Get the sign bits of integers and floating-point numbers in C language

1. Why to get the sign bitMany times, we need to judge the value of the positive and negative, to do the corresponding logical processing. The conditional judgment statement can be a good completion of this requirement. Sometimes there is the

Loss of precision in Java float type subtraction operation

Package test1;public class Test2 {/*** @param args*/public static void Main (string[] args) {Float xx = 2.0f;Float yy = 1.8f;Float tt = XX-YY;System.out.println ("tttttt-----" + TT);}}Sure enough, the result is: TTTTTT-----0.20000005Again testing

Loss of float and double accuracy in "Go" Java programs

Original URL: http://blog.sina.com.cn/s/blog_827d041701017ctm.htmlQuestions raised: 12.0f-11.9f=0.10000038, "Lose The Endless" why?An explanation from MSDN:Http://msdn.microsoft.com/zh-cn/c151dt3s.aspxWhy floating-point numbers may lose precision

"Go" why floating-point numbers may lose precision

Turn from pencilWhy can floating point numbers lose precision?Floating-point decimal values typically do not have the exact same binary representation. This is a side effect of the floating-point data representation used by the CPU. For this reason,

29 Essentials to help you get better with Java code optimization

In Java programs, most of the reasons for performance problems lie not in the Java language, but in the program itself. It is important to develop good coding habits, such as using the Java.lang.String class and the Java.util.Vector class correctly

"Doubts" Anatomy of float type memory storage and accuracy loss problem

Questions raised: 12.0f-11.9f=0.10000038, "Lose The Endless" why?Now let's analyze in detail why a floating point operation causes loss of precision.1, Decimal binary representation problemFirst of all, we need to figure out the following two

Java bit Operations

One, Java bit operation1. Presentation method:In the Java language, the binary number is represented by a complement, the highest bit is the sign bit, the sign bit for positive numbers is 0, and the negative is 1. The complement representation needs

Java bit operations

Bitwise moving OPERATOR: Example: 3 1) Convert 3 to a binary number 0000 0000 0000 0000 0000 0000 0000 0011,2) Remove the two zeros at the upper (left) of the number. All the other digits are shifted to the left,3) Fill in the two vacant positions

Bitwise operations in Java)

Original Author: Rosen Jiang Source:Http://www.blogjava.net/rosen Shift Operator Including:"> Right shift"; ">> unsigned right shift" Example:-5> 3 =-11111 1111 1111 1111 1111 1111 11111111 1111 1111 1111 1111 1111 1111The result is exactly the same

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