OpenCV Detecting Contours Project
OpenCV is a computer vision library that can be used to process images and identify the boundaries or outlines of shapes within them. These boundaries, known as contours, can be used for a variety...
OpenCV is a computer vision library that can be used to process images and identify the boundaries or outlines of shapes within them. These boundaries, known as contours, can be used for a variety...
When we watch a video, we see a continuous stream of images that create the illusion of movement. In computer vision and image processing, it is sometimes necessary to work with these individual frames...
Program 1 import cv2 def changeframe(frame,scale=0.5): width = int(frame.shape[1] * scale) # Width of Frame height = int(frame.shape[0] * scale) # Height of Frame dim = (width, height) return cv2.resize(frame,dim,interpolation=cv2.INTER_AREA) img=cv2.imread(“D://opencvapp//wildlifeImages//wildlife-baby-foxes.jpg”) img1=changeframe(img) cv2.imshow(‘Image Window...
Program 1 from tkinter import * import cv2 def displayImage(): print(“This is rorate Image”) img=cv2.imread(“D://opencvapp//wildlifeImages//walking-dog.jpg”) cv2.imshow(‘My Window’,img) def rorateImage1(): print(“This is rorate Image”) img=cv2.imread(“D://opencvapp//wildlifeImages//walking-dog.jpg”) img=cv2.rotate(img,cv2.cv2.ROTATE_90_CLOCKWISE) cv2.imshow(‘My Window’,img) def rorateImage2(): print(“This is rorate Image”) img=cv2.imread(“D://opencvapp//wildlifeImages//walking-dog.jpg”)...
Program 1 from tkinter import * import tkinter.messagebox as msg import tkinter.filedialog as fd import cv2 def clickmenu(choice): if(choice==’open’): filename = fd.askopenfilename(parent=myroot, title=’open file window’, filetypes=((“Image”, “*.jpg”), (“All File”, “*.*”))) img=cv2.imread(filename) cv2.imshow(‘Show Window’,img) #...
Program 1 import cv2 img1=cv2.imread(“D://opencvapp//wildlifeImages//wildlife-baby-foxes.jpg”) img2=cv2.imread(“D://opencvapp//wildlifeImages//deer-wildlife.jpg”) img3=cv2.imread(“D://opencvapp//wildlifeImages//walking-dog.jpg”) img1=cv2.resize(img1,(300,300)) img2=cv2.resize(img2,(300,300)) img3=cv2.resize(img3,(300,300)) #img4=cv2.hconcat([img1,img2,img3]) img4=cv2.vconcat([img1,img2,img3]) cv2.imwrite(“D://opencvapp//wildlifeImages//hcon.jpg”,img4) cv2.imshow(‘Image Window’,img4) # cv2.imshow(‘Image Window’,img2) cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 img=cv2.imread(“D://opencvapp//library-img.jpg”) #print(img) # img3=img[100:200,100:1000] # cv2.imwrite(“D://opencvapp//crop.jpg”,img3) cv2.imshow(‘Image Window’,img3) cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 img=cv2.imread(“D://opencvapp//library-img.jpg”) cv2.imshow(‘Image Window’,img) # print(img.shape) # print(img.size) cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 img=cv2.imread(“D://opencvapp//natureImages//exploring-jungle.jpg”) img=cv2.resize(img,(300,300)) img1=cv2.blur(img,(9,9)) img1=cv2.resize(img1,(300,300)) img2=cv2.GaussianBlur(img,(17,17),10) img2=cv2.resize(img2,(300,300)) img3=cv2.medianBlur(img,19) img3=cv2.resize(img3,(300,300)) img4=cv2.vconcat([img,img1,img2,img3]) #img4=cv2.resize(img4,(1000,1000)) cv2.imshow(‘Image Window’,img4) cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 img=cv2.imread(“D://opencvapp//vivek1.jpg”) img=cv2.resize(img,(300,300)) img=cv2.circle(img,(170,100),60,(0,0,255),2) cv2.imwrite(‘cimage.jpg’,img) cv2.imshow(‘Image Window’,img) cv2.waitKey(0) cv2.destroyAllWindows()