OpenCV-Python 基本的な操作

基本的な操作を色々試してみた

import numpy as np
import cv2
import datetime
import math

img = cv2.imread("dsub.jpg")

maxX = img.shape[0]
maxY = img.shape[1]
colorNo = img.shape[2]
dataSize = img.size
dataType = img.dtype

print("MaxX:" + str(maxX) + " MaxY:" + str(maxY) + " Color:" + str(colorNo) + " Size:" + str(dataSize) + " Data Type:" + str(dataType))

print(len(img[0])) #=480
print(len(img)) #640
#
#[[480],[480],...,[480]]
#<------ 640----------->
#
#[0,0,0]=black
#[255,255,255] = white
#[255,0,0] = blue
#[0,255,0] = green
#[0,0,255] = red
#コピーは参照渡しになる
#img2.item(x,y,0) 読み出し　３項目は色
#img2.itemset((x,y,0),value) 書込み


img2 = img

for x in range(int(maxX/2)):
    for y in range(int(maxY/2)):
        #img2[x,y] = [x % 256,y % 256,x % 256]
        #img2.itemset((x,y,0),img2.item(x,y,0) /5)
        img2.itemset((x,y,0),math.sqrt(x*x+y*y) % 256)


#画像中の注目領域(ROI)

ball = img[280:340, 330:390]
img[273:333, 100:160] = ball

#色の分解
b,g,r = cv2.split(img)

#print(b)



cv2.imshow('image_b',b)
cv2.waitKey(0)
#cv2.imshow('image_g',g)
#cv2.waitKey(0)
#cv2.imshow('image_r',r)
#cv2.waitKey(0)

#色の結合
img = cv2.merge((b,g,r))

#色の取り出し２(Numpyインデックス)
b = img[:,:,0]

#色の変更(Numpyインデックス)
img[:,:,0] = 0
img[:,:,1] = 0


cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()


#for i in img[maxX-1]:
#    print(i)


#cv2.imshow('image',img)
#cv2.waitKey(0)
#cv2.destroyAllWindows()