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();