keimina

keimina

keimina

keimina

keimina

keimina

from subprocess import call
from pylab import *
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib.patches import Rectangle
from time import sleep
import cv2

# Read template image
templateImageGray = cv2.imread("./images/templateImage.png", cv2.IMREAD_GRAYSCALE)
templateImageGray = cv2.resize(templateImageGray, (0, 0), fx=16, fy=16, interpolation=cv2.INTER_CUBIC)

keimina

import os
from glob import glob
import cv2

import numpy as np
from numpy import arange
import matplotlib.pyplot as plt

from matplotlib.figure import Figure
from matplotlib.backend_bases import key_press_handler

keimina

# convert image to numpy array
im = array(Image.open('./data/empire.jpg')) #return numpy array

# show
imshow(im, interpolation='nearest')#or interpolation='None'

# star point
x = [100,100,400,400] 
y = [200,500,200,500] 

keimina

from PIL import Image
pil_im = Image.open('./data/empire.jpg').convert('L')

#rotate clockwise
out = pil_im.rotate(45)

#show
out.show()

keimina

from PIL import Image
pil_im = Image.open('./data/empire.jpg').convert('L')

#be careful it may change aspect ratio
out = pil_im.resize((128,128))

#show
out.show()