環境布置
1.Opencvproject1資料夾於C
2.C:\Python27\Scripts 執行函數庫
C:\Python27\Lib\site-packages 將cv2.pyd函數庫貼於此
到命令提示字元
C:\Python27\Lib\site-packages 執行
pip install numpy 矩陣函數庫
pip install scipy 科學函數庫
pip install matplotlib 視覺化輸出函數
==========================
import cv2
import numpy as np
print("success")
測試\
Running script: "C:\Opencvproject1\print0.py"
success
==================================
basic1.py
import cv2
import numpy as np
from matplotlib import pyplot as plt
img=cv2.imread("pic1.jpg")
while(1):
cv2.imshow("image",img)
k=cv2.waitKey(1)
if k==ord('q'):
break
cv2.destroyAllWindows()
測視覺化 顯出圖片 按q停止
==============================
python基礎
from __future__ import print_function ＃加可用3.0以上版本
a=350
print("a=",a)
================
# -*- coding:UTF-8 -*- ＃引入中文化
from __future__ import print_function
print(100,"水果",60,sep="&")
＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝
11/02
python-opencv架構
python numpy scipy matplotlib
基本程式語言 矩陣 科學運算 輸出平台
opencv
影像識別
讀取影像/圖像/視訊
寫入影像/圖像/視訊
擷取影像/圖像/視訊
影像處理/視訊處理
幾何圖形/視訊處理
模糊 清晰銳利
感興趣區塊
直方圖(曝光分析圖)
機械學習
主焦點框板
多焦點框板
影像焦點追蹤
視訊焦點追蹤
影像/視訊焦點擷取
影像/視訊焦點辨識
文字識別
---------------------------------------
https://docs.opencv.org/3.0-beta/index.html
-------------------
參數化輸出:注意資料型態
print("參數" % 參數名)
print("參數1--參數2" % 參數名)
%d 整數
%s 字串
%f 浮點數
格式化輸出:注意順序
print("字串值:{0}".format("值1"))
print("字串1{0}字串2{1}".format("值1","值 2"))
脫逸字元
\t --Tab \n 換行 \b 倒退健 \r 回自首
# -*- coding:UTF-8 -*-
from __future__ import print_function
print(100,"水果",60,sep="&")
print("%s有%d隻小狗" % ("曉明",30))
print("溫度%.2f" % 35.7834)
print("溫度%f" % 35.7834)
print("五的名字是:{0}".format("古力娜砸"))
print("我是:{0},專長是:{1}".format("程式設計師","Java"))
print("{0}\t{1}\t{2}\t{3}\t{4}\n".format("s1001","bill","70/11/04","A","大學"))
-------------------------------------------------------------------
運算子
1.算術運算子 +,-,*,/,%,//,**
2.關係運算子>,<,>=,<=,!=,==
3.邏輯運算子and,or,not
4.指定運算子+=,-=,*=,/=
b=True
print(int(b))
-----------------------------------
from __future__ import print_function
name=raw_input("請輸入姓名:")
print("姓名:{0}".format(name))
----------------------------------------
x=int(raw_input("數值一:"))
y=int(raw_input("數值二:"))
total=x+y
print("%d+%d=%d" % (x,y,total))
--------------
a=10;b=50
x=(a>=20) and (b<=100)
print(x)
-------
a=30;b=50
if (a>=20) and (b<=100):
print("條件成立")
else:
print(x)
-----------------------------
a=30;b=50
if (a>=20) or (b<=100):
print("條件成立")
else:
print("條件不成立")
-------------------------
a=30;b=50
if not((a>=20) or (b<=100)):
print("條件成立")
else:
print("條件不成立")
----------------------------------
位元運算子&
1.數值轉2進制
2.參考真值表
3.再轉為數值
ex x=5
y=3
sum=5|3
print(sum) #7
----------------------
from __future__ import print_function
sum=8>>2
print(sum,"\n")
total=8<<2
print(total)
--------------------------
from __future__ import print_function
x=int(raw_input("國文:"))
y=int(raw_input("英文:"))
z=int(raw_input("數學:"))
sum=x+y+z
avg=sum/3
print("國文\t英文\t數學\t總分\t平均\n")
print("%d\t%d\t%d\t%d%.2f" % (x,y,z,sum,avg))
--------------------------------------------------------
num=int(raw_input("請輸入0-100數值:"))
if (num>=0) and (num<=100):
print("正常範圍值")
else:
print("超出")
===========
score=int(raw_input("請輸入分數:"))
if score>=90:
print("A")
elif score>=80:
print("B")
elif score>=70:
print("c")
elif score>=60:
print("D")
else:
print("不及格")
-------------------------
id=raw_input("帳號:")
pas=raw_input("密碼:")
if id=="p1003" and pas=="chin":
print("登入系統")
else:
print("登入失敗")
---------------------------------
range
n1=range(5)
n2=range(1,5+1)
n3=range(1,10,2)
n4=range(2,10+1,2)
n5=range(5,1-1,-1)
print(list(n1))
print(list(n2))
print(list(n3))
print(list(n4))
print(list(n5))
[0, 1, 2, 3, 4]
[1, 2, 3, 4, 5]
[1, 3, 5, 7, 9]
[2, 4, 6, 8, 10]
[5, 4, 3, 2, 1]
---------------------
ASCII
97-122 小寫英文字母
65-90 大寫
chr()ASCII轉字母
ord()字母轉ASCII
int()
float()
str()
---------------------------
from __future__ import print_function
for i in range(1,10+1,1):
print(i,end="\t")
______________________________
from __future__ import print_function
for i in range(65,90+1,1):
print(chr(i),end="")
____________________________________
11/9 exercise
from __future__ import print_function
t100=0
t100o=0
t100e=0
t10037=0
for i in range(1,100+1)://ex1
t100=t100+i
print(t100)
for i in range(1,100+1)://ex2
if (i%2)!= 0:
t100o=t100o+i
print(t100o)
for i in range(1,100+1,2)://ex3
t100e=t100e+i
print(t100e)
for i in range(1,100+1,1)://ex4
if ((i%3)==0):
t10037=t10037+i
if ((i%7)==0):
t10037=t10037+i
if (((i%3)==0)and((i%7)==0)):
t10037=t10037-i
print(t10037)
for i in range(1,9+1,1)://ex5
for j in range(1,9+1,1):
print("%d*%d=" % (i,j),i*j,end=("\t"))
print()
for i in range(1,6)://break
if i==4:
break
print(i)
for i in range(1,11)://continue
if i==6:
continue
print(i)
n=0//ex6
str1=""
m=0
str2=""
for i in range(97,106,1):
if i%2==0:
n=n+1
str1+=chr(i)
if i%2!=0:
m=m+1
str2+=chr(i)
print("偶數字元:%s....%d個" % (str1,n))
print("偶數字元:%s....%d個" % (str2,m))
***********
5050//ex1
2500//ex2
2500//ex3
2208//ex4
//ex5
1*1= 1 1*2= 2 1*3= 3 1*4= 4 1*5= 5 1*6= 6 1*7= 7 1*8= 8 1*9= 9
2*1= 2 2*2= 4 2*3= 6 2*4= 8 2*5= 10 2*6= 12 2*7= 14 2*8= 16 2*9= 18
3*1= 3 3*2= 6 3*3= 9 3*4= 12 3*5= 15 3*6= 18 3*7= 21 3*8= 24 3*9= 27
4*1= 4 4*2= 8 4*3= 12 4*4= 16 4*5= 20 4*6= 24 4*7= 28 4*8= 32 4*9= 36
5*1= 5 5*2= 10 5*3= 15 5*4= 20 5*5= 25 5*6= 30 5*7= 35 5*8= 40 5*9= 45
6*1= 6 6*2= 12 6*3= 18 6*4= 24 6*5= 30 6*6= 36 6*7= 42 6*8= 48 6*9= 54
7*1= 7 7*2= 14 7*3= 21 7*4= 28 7*5= 35 7*6= 42 7*7= 49 7*8= 56 7*9= 63
8*1= 8 8*2= 16 8*3= 24 8*4= 32 8*5= 40 8*6= 48 8*7= 56 8*8= 64 8*9= 72
9*1= 9 9*2= 18 9*3= 27 9*4= 36 9*5= 45 9*6= 54 9*7= 63 9*8= 72 9*9= 81
//break
1
2
3
//continue
1
2
3
4
5
7
8
9
10
//ex6
偶數字元:bdfh....4個
偶數字元:acegi....5個
_____________________________
字串
str1="Hello Python!"
len1=len(str1)
print("字串長度；%d" % len1)
-----------------------
str1=" Hello Python! "
print(str1.strip())
print(str1.lstrip())
print(str1.rstrip())
//HELLO PYTHON!
hello python!
-1
6
---------------------------------
str1="Hello Python!"
print(str1.upper())
print(str1.lower())
s=str1.find('p')
print(s)
s=str1.find('P')
print(s)
----------
str1="Hello python"
s=str1.replace("python","Java")
print(s)
------------
str1="Hello Python"
len1=len(str1)
for i in range(0,len1,1):
if str1[i].isupper():
print(str1[i])
for i in str1:
print(i,type(i))
t=str1.startswith("He")
t1=str1.endswith("on")
print(t)
print(t1)
================
str1="Oracle Java Develement Studio"
n=0
for i in str1:
if i in 'a':
n+=1
print(n)
---------------------
Slice ====
str1="AI Python Program"
s=str1[3:]
print(s)
s1=str1[:10]
print(s1)
s2=str1[3:10]
print(s2)
s3=str1[-1]
print(s3)
==
Python Program
AI Python
Python
m
-----------------------------------
import random as r
for i in range(1,5+1):
print("%.1f" % r.random())
for i in range(1,5+1):
v=r.randint(1,100)
print(v)
for i in range(1,5+1):
v1=r.randrange(1,100,3)
print(v1)
----------------------
串列
1.直接表示法
2.不定長度表示法
3.
a=[10,20,30,40,50]
print(a[0])
print(a[1])
print(a[2])
print(a[3])
print(a[4])
len1=len(a)
for i in range(0,len1,1):
print(a[i])
a1=[12,56,99,21,52]
len1=len(a1)
for i in range(len1-1,0-1,-1):
print(a[i])
print(max(a1))
print()
print(min(a1))
print()
c=sorted(a1)
c1=sorted(a1,reverse=True)
total=sum(a)
for i in range(0,len1):
print(c[i])
for i in range(0,len1):
print(c1[i])
print(total)
---------------------
list ex1
list1=[10,20,30,40,50]
num=int(raw_input("請輸入0-100數值:"))
if num in list1:
print("%d在串列中" % num)
else:
print("%d不在串列中" % num)
-------------------------------
mylist1=[]
qp="delphi"
mylist1.append("java")
mylist1.append("javascript")
mylist1.append("delphi")
mylist1.append(30)
mylist1.append("c++")
mylist1.append("A")
mylist1.append("jQuery")
mylist1.append(True)
mylist1.insert(2,"php")
mylist1.remove(qp)
for i in mylist1:
print(i)
======================
dict字典{}
dict1={"java":350,"c++":250,"html":150,"css":100,"lua":450}
len1=len(dict1)
print(len1)
print(dict1["java"])
print(dict1["c++"])
print(dict1["html"])
print(dict1["css"])
print(dict1["lua"])
k=list(dict1.keys())
print(k)
for i in range(0,len1):
print(k[i])
v=list(dict1.values())
len2=len(v)
for i in range(0,len2):
print(v[i])
_____________________
5
350
250
150
100
450
['lua', 'html', 'java', 'css', 'c++']
lua
html
java
css
c++
450
150
350
100
250
------
data={"java":350,"c++":250,"html":150,"css":100,"lua":450}
it=list(data.items())
len1=len(it)
for i in range(0,len1):
print(list(it[i]))
===============
['lua', 450]
['html', 150]
['java', 350]
['css', 100]
['c++', 250]
--------------------------
11/17
影像結構
二位陣列
import numpy as np
a=np.array([12,13,14])
len1=len(a)
print(len1)
print(a)
for i in range(0,len1):
print(a[i])
______________________
import numpy as np
b=np.array([[12,56],[34,78]])
len1=len(b)
len2=len(b[0])
for i in range (0,len1):
for j in range(0,len2):
print(b[i][j]) #12 56 34 78
_________________________
import numpy as np
a=np.array([[1,2,3],[4,5,6]])
print(a)
print()
b=a.reshape(3,2)
print(b)
len1=len(b)
len2=len(b[0])
for i in range(0,len1):
for j in range(0,len2):
print(b[i][j])
______________________
[[1 2 3]
[4 5 6]]
[[1 2]
[3 4]
[5 6]]
1
2
3
4
5
6
---------
import numpy as np
a=np.arange(9).reshape(3,3)
print(a)
b=np.arange(24)
print(b)
x=np.array([1,2,3,4,5],dtype=np.int64)
print(x)
#[[0 1 2]
[3 4 5]
[6 7 8]]
[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]
[1 2 3 4 5]
--------------
import numpy as npa=np.array([[1,2,3],[4,5,6]])
print(a)
print()
b=a.reshape(3,2)
print(b)
len1=len(b)
len2=len(b[0])
for i in range(0,len1):
for j in range(0,len2):
print(b[i][j])
______________________
[[1 2 3]
[4 5 6]]
[[1 2]
[3 4]
[5 6]]
1
2
3
4
5
6
---------
import numpy as np
a=np.arange(9).reshape(3,3)
print(a)
b=np.arange(24)
print(b)
x=np.array([1,2,3,4,5],dtype=np.int64)
print(x)
#[[0 1 2]
[3 4 5]
[6 7 8]]
[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]
[1 2 3 4 5]
--------------
x=np.zeros((5),dtype=np.int)#一維
print(x)
y=np.zeros((5,5),dtype=np.uint8)#二維
print(y)
#[0 0 0 0 0]
[[0 0 0 0 0]
[0 0 0 0 0]
[0 0 0 0 0]
[0 0 0 0 0]
[0 0 0 0 0]]
-------------------------------
import numpy as np
import cv2
img=cv2.imread("pic1.jpg")
total=img.shape
print(total)
sum=img.size
print(sum)
print(img[100,100,1])
#(170, 255, 3)
130050
92
_____________________
_import numpy as np
import cv2
img=cv2.imread("x3.jpg")
total=img.shape
print(total)
rtotal=0
for i in range(0,170):
for j in range(0,250):
rtotal=rtotal+img[i,j,2]
print(rtotal)
gtotal=0
for i in range(0,170):
for j in range(0,250):
gtotal=gtotal+img[i,j,1]
print(gtotal)
btotal=0
for i in range(0,170):
for j in range(0,250):
btotal=btotal+img[i,j,0]
print(btotal)
#__(201, 251, 3)
1838463
4174231
7823176
__________________
import numpy as np
x=np.ones((2,3),dtype=np.uint8)
print(x)
print("")
x[0][0]=215
x[0][1]=115
x[0][2]=45
x[1][0]=32
x[1][1]=125
x[1][2]=200
print(x)
#[[1 1 1]
[1 1 1]]
[[215 115 45]
[ 32 125 200]]
_______________
np.asarray
import numpy as np
x=[1,2,3,4,5,6]
y=np.asarray(x)
print(y)
--------------------
import numpy as np
import cv2
img=cv2.imread("pic1.jpg")
total=img.shape
print(total)
sum=img.size
print(sum)
print(img[100,100,1])
#(170, 255, 3)
130050
92
===================
import numpy as np
import cv2
img=cv2.imread("x3.jpg")
total=img.shape
print(total)
rtotal=0
for i in range(0,170):
for j in range(0,250):
rtotal=rtotal+img[i,j,2]
print(rtotal)
gtotal=0
for i in range(0,170):
for j in range(0,250):
gtotal=gtotal+img[i,j,1]
print(gtotal)
btotal=0
for i in range(0,170):
for j in range(0,250):
btotal=btotal+img[i,j,0]
print(btotal)
#(201, 251, 3)
1838463
4174231
7823176偏藍
11/23
import numpy as np
x=[1,2,3,4,5]
#y=np.asarray(x,dtype=np.float) #1.0 2.0 3.0 4.0 5.0
y=np.asarray(x,dtype=np.uint8) #1 2 3 4 5
len1=len(y)
for i in range(0,len1):
print(y[i])
--------------------------------------
from __future__ import print_function
import numpy as np
s="Hello Opencv"
#y=np.asarray(x,dtype=np.float)
x=np.frombuffer(s,dtype="S1")
len1=len(x)
for i in range(0,len1):
print(x[i],end='')
#['H' 'e' 'l' 'l' 'o' ' ' 'O' 'p' 'e' 'n' 'c' 'v']
Hello Opencv
--------------------------
import numpy as np
n1=np.array([1,3,5,6,2,3])
n2=np.array([3,7,1,7,8,2])
n3=n1+n2
print(n3.reshape(3,2))
#[[ 4 10]
[ 6 13]
[10 5]]
import numpy as np
mydata=[]
n1=np.array([1,3,5,6,2,3])
n2=np.array([3,7,1,7,8,2])
len1=len(n1)
for i in range(0,len1):
mydata.append(n1[i]+n2[i])
n3=np.array(mydata).reshape(3,2)
print(n3)
#[[ 4 10]
[ 6 13]
[10 5]]
=====================
https://www.geeksforgeeks.org/python-detect-polygons-in-an-image-using-opencv/
Open CV: Java/c/c++/python/android跨平台
1.cv2.__VERSION版本編號
2.cv2.imread(圖片路徑,1)
cv2.imread(圖片路徑,0)
3.cv2.imshow("抬頭名稱",圖片元件)
4.cv2.waitKey(0)等候鍵盤按鍵
5.cv2.destropAllWindows()釋放記憶體空間
import cv2
print cv2.__version__
#image=cv2.imread("x1.jpg",1)
image=cv2.imread("x1.jpg",0)
cv2.imshow("demo",image)
k=cv2.waitKey(0)
if cv2.waitKey(0) & 0xFF == ord('q'):
cv2.destroyAllWindows()
====================
按q鍵結束
k=cv2.waitKey(0)
if k==ord('q'):
break
1.矩陣像素元件
image[i,j]
2.圖像大小解析度
shape==>[高,寬,通道數]
#imgread1.py
import cv2
import numpy as np
img=cv2.imread("pic1.jpg")
len1=img.shape
print(len1)
print("height:",len1[0])
print("width:",len1[1])
print("turnel:",len1[2])
#(170, 255, 3)
('height:', 170)
('width:', 255)
('turnel:', 3)
=========================
from __future__ import print_function
import numpy as np
import cv2
img=cv2.imread("x3.jpg")
for i in range(10,20+1):
for j in range(10,20+1):
img[i,j]=[255,255,255]
while (1):
cv2.imshow("image",img)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
====================
from __future__ import print_function
import numpy as np
import cv2
img=cv2.imread("x3.jpg")
cv2.namedWindow("image",cv2.WINDOW_NORMAL)#openvc自訂視窗
cv2.resizeWindow("image",800,500)
len=img.shape #值不變
print(len)
len1=img.size #不變
print(len1)
while (1):
cv2.imshow("image",img)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
#(201, 251, 3)
151353
----------------------------------------------
ex1
from __future__ import print_function
import numpy as np
import cv2
k=int(raw_input("選單(1)200*100(2)500*300(3)800*500，請選擇："))
img=cv2.imread("x1.jpg")
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
if k==1:
cv2.resizeWindow("image",200,100)
elif k==2:
cv2.resizeWindow("image",500,300)
elif k==3:
cv2.resizeWindow("image",800,500)
while (1):
cv2.imshow("image",img)
k1=cv2.waitKey(0)
if k1==ord('q'):
break
cv2.destroyAllWindows()
========================
ex2
from __future__ import print_function
import numpy as np
import cv2
k=int(raw_input("選單(1)圖一(2)圖二(3)圖三，請選擇："))
if k==1:
img=cv2.imread("x1.jpg")
elif k==2:
img=cv2.imread("x2.jpg")
elif k==3:
img=cv2.imread("x3.jpg")
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",800,500)
while (1):
cv2.imshow("image",img)
k1=cv2.waitKey(0)
if k1==ord('q'):
break
cv2.destroyAllWindows()
==============================
ex3
from __future__ import print_function
import numpy as np
import cv2
while (1):
k=int(raw_input("選單(1)圖片一(2)圖片二(3)圖片三(4)結束 請選擇："))
if k==1:
img=cv2.imread("x1.jpg")
elif k==2:
img=cv2.imread("x2.jpg")
elif k==3:
img=cv2.imread("x3.jpg")
elif k==4:
break
cv2.imshow("image",img)
k1=cv2.waitKey(0)
if k1==ord('q'):
break
cv2.destroyAllWindows()
=================
正常程序
from __future__ import print_function
import numpy as np
import cv2
def menuitem():
try:
k=int(raw_input("選單(1)圖片一(2)圖片二(3)圖片三(4)結束 請選擇："))
if k==1:
img=cv2.imread("x1.jpg")
elif k==2:
img=cv2.imread("x2.jpg")
elif k==3:
img=cv2.imread("x3.jpg")
elif k==4:
quit
showvalue(img)
except:
print("")
def showvalue(im):
try:
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",800,500)
while (1):
cv2.imshow("image",im)
k1=cv2.waitKey(0)
if k1==ord('q'):
break
cv2.destroyAllWindows()
menuitem()
except:
print("")
if __name__=="__main__":
menuitem()
==================
https://www.geeksforgeeks.org/python-detect-corner-of-an-image-using-opencv/
=====================
同時秀兩張
from __future__ import print_function
import numpy as np
import cv2
img=cv2.imread("x3.jpg")
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",800,500)
img2=cv2.imread("x2.jpg")
cv2.namedWindow("image1",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image1",800,500)
while (1):
cv2.imshow("image",img)
cv2.imshow("image1",img2)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
====================
模糊一
from __future__ import print_function
import numpy as np
import cv2
img=cv2.imread("x3.jpg")
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",800,500)
blur=cv2.blur(img,(5,5))
cv2.namedWindow("blur",cv2.WINDOW_NORMAL)
cv2.resizeWindow("blur",800,500)
while (1):
cv2.imshow("image",img)
cv2.imshow("blur",blur)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
============================
from __future__ import print_function
import numpy as np
import cv2
img=cv2.imread("x3.jpg",cv2.IMREAD_COLOR)
#img=cv2.imread("x3.jpg",1)
cv2.imwrite("hope1.jpg",img)
print("success")
while (1):
cv2.imshow("image",img)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
==
matplotlib
import numpy as np
import cv2
from matplotlib import pyplot as plt
img=cv2.imread("pic3.jpg")
img_rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
plt.imshow(img_rgb)
plt.show()
+++++++++++++++++++
灰白\
img=cv2.imread("pic3.jpg",cv2.IMREAD_GRAYSCALE)
plt.imshow(img,cmap="gray")
plt.show()
====================
import numpy as np
import cv2
from matplotlib import pyplot as plt
img=cv2.imread("pic3.jpg")
img_rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
plt.imshow(img,cmap="gray")
plt.show()
+++++++++++++++++++++
import cv2
import numpy as np
from matplotlib import pyplot as plt
img=cv2.imread("pic1.jpg")
img_rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
img2=cv2.imread("pic2.jpg")
img2_rgb=cv2.cvtColor(img2,cv2.COLOR_BGR2RGB)
plt.subplot(121)
plt.imshow(img_rgb)
plt.subplot(122)
plt.imshow(img2_rgb)
plt.show()
+++++++++++++++++++++++++
import cv2
import numpy as np
from matplotlib import pyplot as plt
img=cv2.imread("pic1.jpg")
img_rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
img2=cv2.imread("pic2.jpg")
img2_rgb=cv2.cvtColor(img2,cv2.COLOR_BGR2RGB)
img3=cv2.imread("pic3.jpg")
img3_rgb=cv2.cvtColor(img3,cv2.COLOR_BGR2RGB)
img3_gray=cv2.cvtColor(img3,cv2.IMREAD_GRAYSCALE)
plt.subplot(221)#安排兩列兩行的排版
plt.imshow(img_rgb)
plt.subplot(222)
plt.imshow(img2_rgb)
plt.subplot(223)
plt.imshow(img3_rgb)
plt.subplot(224)
plt.imshow(img3_gray,cmap='gray')
plt.show()
-------------------------
https://kknews.cc/zh-tw/code/gg2bej8.html
11/30
import numpy as np
import cv2
from matplotlib import pyplot as plt
#讀取圖檔
img=cv2.imread("C:\\openCVproject1\\fish1.jpg")
#轉為灰階
gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
#計算質方圖每個bin數值[影像，通道，遮罩，區間數量質方圖，像素質範圍]
hist1=cv2.calcHist([img],[0],None,[256],[0,256])
hist2=cv2.calcHist([img],[1],None,[256],[0,256])
hist3=cv2.calcHist([img],[2],None,[256],[0,256])
#劃出分布圖
plt.plot(hist1)
plt.plot(hist2)
plt.plot(hist3)
plt.show()
https://blog.gtwang.org/programming/python-opencv-matplotlib-plot-histogram-tutorial/
https://morvanzhou.github.io/tutorials/data-manipulation/plt/2-3-axis1/
https://www.kancloud.cn/aollo/aolloopencv/263215
http://www2.nkfust.edu.tw/~shanhuen/PythonTutorialHtml/Matplotlib/Matplotlib1.html
---------------------------
12/07
import cv2
cv2.namedWindow("frame")
cap=cv2.VideoCapture(0)
while(True):
ret,img=cap.read()
if ret==True:
cv2.imshow("frame",img)
k=cv2.waitKey(1)
if k==ord("z") or k==ord("Z"):
cv2.imwrite("C:\\openCVproject1\\media\\ft.jpg",img)
break
cap.release()
cv2.waitKey(0)
cv2.destroyWindow("frame")
------------------------------------------------
opencv畫布
np.zeros((512,512,3.),np.uint8) 黑色畫布
線條
----------------------
import numpy as np
import cv2
img=np.zeros((512,512,3),np.uint8)
cv2.line(img,(10,30),(200,30),(0,0,255),5)
cv2.imshow("drawline",img)
cv2.waitKey(0)
cv2.destroyAllwindows()
---------------------------
import numpy as np
import cv2
img=np.zeros((512,512,3),np.uint8)+255
cv2.line(img,(10,30),(200,30),(0,0,255),5)
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",500,250)
cv2.imshow("image",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
-----------------------------
import numpy as np
import cv2
import time
k=1
img=cv2.imread("../x1.jpg")
total=img.shape
#img=np.zeros((512,512,3),np.uint8)+255
for i in range(0,total[0],20):
if ((k%2)==0):
cv2.line(img,(0,i),(total[1],i),(255,0,0),5)
else:
cv2.line(img,(0,i),(total[1],i),(0,255,0),5)
k=k+1
#cv2.line(img,(0,500),(500,0),(0,0,255),5)
#cv2.namedWindow("image",cv2.WINDOW_NORMAL)
#cv2.resizeWindow("image",500,250)
cv2.imshow("image",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
-----------------------------------------------
cv2.rectangle(img,(100,100),(200,200),(0,0,255),5) #畫矩形
cv2.ellipse(img,(250,250),(100,100),0,0,360,(0,0,255),-1)
----------------------------------
import numpy as np
import cv2
import random as ra
src=cv2.imread("../x1.jpg")
res=cv2.resize(src,(512,512),interpolation=cv2.INTER_CUBIC)
img=np.zeros((512,512,3),np.uint8)+255
total=img.shape
for i in range(100+1):
x=ra.randint(0,512)
y=ra.randint(0,512)
b=ra.randint(0,255)
g=ra.randint(0,255)
r=ra.randint(0,255)
cv2.circle(img,(x,y),10,(b,g,r),1)
wimg=cv2.addWeighted(res,0.2,img,0.4,0)
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",512,512)
cv2.imshow("image",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
--------------------------
import numpy as np
import cv2
img=np.zeros((512,512,3),np.uint8)+255
cv2.putText(img,'Hello OPENCV',(50,150),cv2.FONT_HERSHEY_SCRIPT_COMPLEX,1,(0,0,255),2)
cv2.putText(img,'Hello OPENCV',(50,180),cv2.FONT_HERSHEY_SCRIPT_SIMPLEX,1,(0,0,255),2)
cv2.putText(img,'Hello OPENCV',(50,210),cv2.FONT_HERSHEY_DUPLEX,1,(0,0,255),2)
cv2.putText(img,'Hello OPENCV',(50,240),cv2.FONT_HERSHEY_TRIPLEX,1,(0,0,255),2)
cv2.putText(img,'Hello OPENCV',(50,270),cv2.FONT_ITALIC,1,(0,0,255),2)
#cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",1000,500)
while True:
cv2.imshow("draweclips",img)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
--------------------------------------------
import numpy as np
import cv2
str1="java,c++,delphi,javascript,pascal"
data=str1.split(',')
len1=len(data)
print(len1)
k=150
img=np.zeros((512,512,3),np.uint8)+255
for i in range(0,len1,1):
cv2.putText(img,str(i+1)+':'+data[i],(50,k),cv2.FONT_HERSHEY_SCRIPT_COMPLEX,1,(0,0,255),2)
k=k+30
#cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",1000,500)
while True:
cv2.imshow("putText",img)
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
------------------------
import numpy as np
import cv2
def nothing(x):
pass
img=np.zeros((512,512,3),np.uint8)+255
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",600,500)
cv2.createTrackbar("R","image",0,255,nothing)
cv2.createTrackbar("G","image",0,255,nothing)
cv2.createTrackbar("B","image",0,255,nothing)
while True:
cv2.imshow("image",img)
r=cv2.getTrackbarPos("R","image")
g=cv2.getTrackbarPos("G","image")
b=cv2.getTrackbarPos("B","image")
img[:]=[b,g,r]
k=cv2.waitKey(1)
if k==ord('q'):
break
cv2.destroyAllWindows()
-------------------------------------------
import numpy as np
import cv2
def nothing(x):
r=cv2.getTrackbarPos("R","image")
g=cv2.getTrackbarPos("G","image")
b=cv2.getTrackbarPos("B","image")
img[:]=[b,g,r]
cv2.imshow("image",img)
img=np.zeros((512,512,3),np.uint8)
cv2.namedWindow("image",cv2.WINDOW_NORMAL)
cv2.resizeWindow("image",600,500)
cv2.createTrackbar("R","image",0,255,nothing)
cv2.createTrackbar("G","image",0,255,nothing)
cv2.createTrackbar("B","image",0,255,nothing)
cv2.imshow("image",img)
while True:
k=cv2.waitKey(0)
if k==ord('q'):
break
cv2.destroyAllWindows()
----------------------------------------
import numpy as np
import cv2
d=False
point1=()
point2=()
def draw_rect(event,x,y,flags,param):
global point1,point2,d
if event==cv2.EVENT_LBUTTONDOWN:
if d==False:
d=True
point1=(x,y)
else:
d=False
elif event==cv2.EVENT_RBUTTONDOWN:
if d==True:
point2=(x,y)
img=np.zeros((512,512,3),np.uint8)+255
cv2.namedWindow('image')
cv2.setMouseCallback("image",draw_rect)
while True:
if point1 and point2:
cv2.rectangle(img,point1,point2,(0,255,0),3)
point1=()
point2=()
cv2.imshow("image",img)
if cv2.waitKey(1)==ord('q'):
break
cv2.destroyAllWindows()
-----------------------
import dlib
import imutils
import cv2
img=cv2.imread("human01.jpg")
img=imutils.resize(img,width=1200)
detector=dlib.get_frontal_face_detector()
face_rects=detector(img,0)
for i ,d in enumerate(face_rects):
x1=d.left()
y1=d.top()
x2=d.right()
y2=d.bottom()
cv2.rectangle(img,(x1,y1),(x2,y2),(0,255,0),4)
cv2.imshow("Face-detection",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
----------------------------------
12/14
http://www.kancloud.cn:8080/aollo/aolloopencv/261446
-------------
import cv2
cv2.namedWindow("frame")
cap=cv2.VideoCapture(0)
while(True):
ret,img=cap.read()
if ret==True:
cv2.imshow("frame",img)
k=cv2.waitKey(1)
if k==ord("z") or k==ord("Z"):
cv2.imwrite("C:\\openCVproject1\\1214\\media\\ft.jpg",img)
break
cap.release()
cv2.waitKey(0)
cv2.destroyWindow("frame")
-----------------------------
waitKey(1) 中的数字代表等待按键输入之前的无效时间，单位为毫秒，在这个时间段内按键 ‘q’ 不会被记录，在这之后按键才会被记录，并在下一次进入if语段时起作用。也即经过无效时间以后，检测在上一次显示图像的时间段内按键 ‘q’ 有没有被按下，若无则跳出if语句段，捕获并显示下一帧图像。
若此参数置零，则代表在捕获并显示了一帧图像之后，程序将停留在if语句段中一直等待 ‘q’ 被键入。
cv2.waitKey(1) 与 0xFF（1111 1111）相与是因为cv2.waitKey(1) 的返回值不止8位，但是只有后8位实际有效，为避免产干扰，通过 ‘与’ 操作将其余位置0。
__________________________
import cv2
cv2.namedWindow("frame")
cap=cv2.VideoCapture(0)
n=0
while(True):
ret,img=cap.read()
if ret==True:
cv2.imshow("frame",img)
k=cv2.waitKey(1)
if k==ord("w") or k==ord("W"):
n=n+1
d="C:\\Opencvproject1\\1214\\media\\ft"+str(n)+".jpg"
cv2.imwrite(d,img)
if k==ord("z") or k==ord("Z"):
break
cap.release()
cv2.waitKey(0)
cv2.destroyWindow("frame")
____________________________
import numpy as np
import cv2
cap=cv2.VideoCapture("vi.avi")
n=0
while(True):
try:
ret,img=cap.read()
cv2.imshow("frame",img)
if cv2.waitKey(0)==ord('q'):
break
except:
print("end.....")
cap.release()
cv2.destoryAllwindows()
break
cap.release()
cv2.destroyAllWindowsWindow()
---------------------
讀取喜歡的影格，並存下
import numpy as np
import cv2
cap=cv2.VideoCapture("vi.avi")
n=0
while(True):
try:
ret,img=cap.read()
if ret==True:
cv2.imshow("frame",img)
k=cv2.waitKey(50)
if k==ord('q'):
cap.release()
cv2.destoryAllwindows()
break
if k==ord('z') or k==ord("Z"):
cv2.imwrite("C:\\Opencvproject1\\1214\\media\\ft"+str(n)+".jpg",img)
n=n+1
else:
cap.release()
cv2.destoryAllwindows()
break
except:
print("end.....")
cap.release()
cv2.destoryAllwindows()
break
cap.release()
cv2.destroyAllWindowsWindow()
--------------------------
import cv2
cv2.namedWindow("frame")
cap=cv2.VideoCapture(0)
fourcc=cv2.VideoWriter_fourcc(*'DIB ')
out=cv2.VideoWriter("C:\\Opencvproject1\\1214\\media\\output7.avi",fourcc,3.0,(640,480))
while(True):
ret,img=cap.read()
if ret==True:
frame=cv2.flip(img,1)
out.write(frame)
cv2.imshow("frame",img)
k=cv2.waitKey(1)
if k==ord('q'):
break
cap.release()
out.release()
cv2.destroyWindow("frame")
-------------------------------
擷取送至網頁輸出
import numpy as np
import cv2
import os
cap=cv2.VideoCapture(0)
n=1
while(True):
try:
ret,img=cap.read()
if ret==True:
cv2.imshow("frame",img)
k=cv2.waitKey(1)
if k==ord('q'):
cap.release()
cv2.destroyAllWindows()
os.system('"C:\\Program Files (x86)\\Google\\Chrome\\Application\\chrome.exe" C:\\Opencvproject1\\1214\\media\\chindata3.html')
break
if k==ord('z') or k==ord("Z"):
cv2.imwrite("C:\\Opencvproject1\\1214\\media\\chin"+str(n)+".jpg",img)
n=n+1
if n==6:
n=1
else:
cap.release()
cv2.destoryAllwindows()
break
except:
print("end.....")
cap.release()
cv2.destroyAllWindows()
break
cap.release()
cv2.destroyAllWindows()
------------------------------------
<script language="javascript" src="jquery-3.4.1.min.js"></script>
<script language="javascript">
$(document).ready(function()
{
$("a img").click(function()
{
var k=$(this).attr("src");
$("#total").attr("src",k);
});
$("#tab1 tr td").mouseover(function()
{
$(this).css("background-color","pink");
});
$("#tab1 tr td").mouseleave(function()
{
$(this).css("background-color","transparent");
});
});
</script>
<body>
<div id="dv1" style="width:1050px;height:180px; background-color:#9CF;">
<table border="0" width="1050" id="tab1" height="180" >
<tr>
<td align="center">
<a href="javascript:void;" id="a1" >
<img id="img1" src="chin1.jpg" width="200" height="150" />
</a>
</td>
<td align="center">
<a href="javascript:void;" id="a2" >
<img id="img2" src="chin2.jpg" width="200" height="150" />
</a>
</td>
<td align="center">
<a href="javascript:void;" id="a3">
<img id="img3" src="chin3.jpg" width="200" height="150" />
</a>
</td>
<td align="center">
<a href="javascript:void;" id="a4">
<img id="img4" src="chin4.jpg" width="200" height="150" />
</a>
</td>
<td align="center">
<a href="javascript:void;" id="a5">
<img id="img5" src="chin5.jpg" width="200" height="150" />
</a>
</td>
</tr>
</table>
</div>
<p>
<div id="dv1" style="width:1010px;height:570px; background-color:#000; padding:20px">
<img id="total" src="chin1.jpg" width=1000 height=550 />
</div>
</body>
</html>
---------------------
import numpy as np
import cv2
import dlib
import imutils
cap=cv2.VideoCapture(0)
detector=dlib.get_frontal_face_detector()
while(cap.isOpened()):
ret,frame=cap.read()
face_rects=detector(frame,0)
for i,d in enumerate(face_rects):
x1=d.left()
y1=d.top()
x2=d.right()
y2=d.bottom()
cv2.rectangle(frame,(x1,y1),(x2,y2),(0,255,0),4)
#text="Hello"
#cv2.putText(frame,text,(x1,y1),cv2.FONT_HERSHEY_PLAIN,0.7,(255,255,255),1)
cv2.imshow('frame',frame)
if cv2.waitKey(1)==ord('q'):
break
cap.release()
cv2.destroyAllWindows()
dlib.get_frontal_face_detector()
----------------------------
import numpy as np
import cv2
import dlib
import imutils
cap=cv2.VideoCapture(0)
detector=dlib.get_frontal_face_detector()
while(cap.isOpened()):
ret,frame=cap.read()
face_rects=detector(frame,0)
for i,d in enumerate(face_rects):
x1=d.left()
y1=d.top()
x2=d.right()
y2=d.bottom()
img=cv2.rectangle(frame,(x1,y1),(x2,y2),(0,255,0),4)
faceimg=frame[y1:y2,x1:x2]
k=cv2.waitKey(1)
if k==ord("z") or k==ord("Z"):
cv2.imwrite("C:\\Opencvproject1\\1214\\media\\face1.jpg",faceimg)
cv2.imshow('frame',frame)
#cv2.imread("C:\\Opencvproject1\\1214\\media\\face1.jpg",img)
if cv2.waitKey(1)==ord('q'):
break
cap.release()
cv2.destroyAllWindows()
-------------------------------------------
import numpy as np
import cv2
import dlib
import imutils
cap=cv2.VideoCapture(0)
detector=dlib.get_frontal_face_detector()
while(cap.isOpened()):
ret,frame=cap.read()
face_rects=detector(frame,0)
for i,d in enumerate(face_rects):
x1=d.left()
y1=d.top()
x2=d.right()
y2=d.bottom()
cv2.rectangle(frame,(x1,y1),(x2,y2),(0,255,0),4)
#text="Hello"
#cv2.putText(frame,text,(x1,y1),cv2.FONT_HERSHEY_PLAIN,0.7,(255,255,255),1)
cv2.imshow('frame',frame)
if cv2.waitKey(1)==ord('q'):
break
cap.release()
cv2.destroyAllWindows()
----------------------------
import numpy as np
import cv2
import dlib
import imutils
cap=cv2.VideoCapture(0)
detector=dlib.get_frontal_face_detector()
while(cap.isOpened()):
ret,frame=cap.read()
face_rects=detector(frame,0)
for i,d in enumerate(face_rects):
x1=d.left()
y1=d.top()
x2=d.right()
y2=d.bottom()
img=cv2.rectangle(frame,(x1,y1),(x2,y2),(0,255,0),4)
faceimg=frame[y1:y2,x1:x2]
k=cv2.waitKey(1)
if k==ord("z") or k==ord("Z"):
cv2.imwrite("C:\\Opencvproject1\\1214\\media\\face1.jpg",faceimg)
cv2.imshow('frame',frame)
#cv2.imread("C:\\Opencvproject1\\1214\\media\\face1.jpg",img)
if cv2.waitKey(1)==ord('q'):
break
cap.release()
cv2.destroyAllWindows()
-------------------------------------------
