PeaceAndHiLight

# coding:utf-8

import numpy as np
import matplotlib.pyplot as plt

# 0から6まで0.1刻みで配列に格納する
x = np.arange(0, 6, 0.1)

# xの値を入力に、sinとcosの配列を作る
y1 = np.sin(x)

PeaceAndHiLight

# coding:utf-8

import numpy as np
import matplotlib.pyplot as plt

x = np.arange(0, 6, 0.1)
#print(x)
y1 = np.sin(x)
y2 = np.cos(x)

PeaceAndHiLight

# encoding:utf-8

import cv2
import numpy as np

width = 16
height = 24

# uint8で0埋めの配列を作る。
# 幅16、高さ24のサイズ

PeaceAndHiLight

#coding: utf-8

import cv2
import numpy as np
import sys
import os.path

# 引数をとります
def GetArguments(args):

PeaceAndHiLight

#coding: utf-8

import cv2
import numpy as np

faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

img = cv2.imread('image.jpg', cv2.IMREAD_COLOR)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
face = faceCascade.detectMultiScale(gray, 1.1, 3)

PeaceAndHiLight

import cv2
import numpy as np

gamma = 1.8

lookUpTable = np.zeros((256, 1), dtype = 'uint8')

for i in range(256):
	lookUpTable[i][0] = 255 * pow(float(i) / 255, 1.0 / gamma)

PeaceAndHiLight

#coding: utf-8

import cv2
import numpy as np

img = cv2.imread('B.jpg', cv2.IMREAD_COLOR)
logo = cv2.imread('logo2.png', cv2.IMREAD_UNCHANGED)

#Get Height And Width of Logo
logoHeight, logoWidth  = logo.shape[:2]

PeaceAndHiLight

#coding: utf-8
import cv2
import numpy as np

#サイズの同じ画像を２枚読み込んでおく
imgA = cv2.imread('A.jpg', 1)
imgB = cv2.imread('B.jpg', 1)

#画像の大きさと次元が同じあることを確認しておく
print imgA.shape

PeaceAndHiLight

#coding: utf-8

import cv2
import numpy as np

img = cv2.imread('input.jpg', cv2.IMREAD_COLOR)

orgHeight, orgWidth = img.shape[:2]
size = (orgHeight/2, orgWidth/2)

PeaceAndHiLight

#coding: utf-8

import cv2
import numpy as np

img = cv2.imread('sgt_512.jpg', cv2.IMREAD_COLOR)

orgHeight, orgWidth = img.shape[:2]
size = (orgHeight/2, orgWidth/2)