import cv2; # OpenCV python
import numbers;
import numpy as np;
import math;
import matplotlib;
import matplotlib.pyplot as plt;
import matplotlib.image as mpimg;
from IPython.display import display, Image
img = cv2.imread('9012.JPG');
img=np.zeros((512,512,3),np.uint8);
img=cv2.line(img,(0,0),(511,511),(255,0,0),5);
img=cv2.rectangle(img,(384,0),(510,128),(0,255,0),3);
img=cv2.circle(img,(447,63),63,(0,0,255),-1);
img=cv2.ellipse(img,(256,256),(100,50),0,0,180,255,-1);
font=cv2.FONT_HERSHEY_SIMPLEX;
cv2.putText(img,'OpenCv',(10,500),font,4,(255,255,255),2,cv2.LINE_AA);
pts=np.array([[10,5],[20,30],[70,20],[50,10]],np.int32);
pts=pts.reshape((-1,1,2));
img=cv2.polylines(img,[pts],True,(0,255,255));
cv2.imshow('image',img);
cv2.waiTKEy(0);
cv2.destroyAllwindows();
print('geovindu');
# print(img);
# display
# imgshow=mpimg.imread('9012.JPG');
# imgplot = plt.imshow(imgshow);
# plt.show();
# display image
im = cv2.imread('9012.JPG');
im_resized = cv2.resize(im, (224, 224), interpolation=cv2.INTER_LINEAR);
plt.imshow(cv2.cvtColor(im_resized, cv2.COLOR_BGR2RGB));
plt.show();