Cell classification is a crucial task in biomedical image analysis involving the categorization of cells into distinct groups based on visual characteristics. Leveraging advanced technologies such as convolutional neural networks (CNNs) and cell classification...
Chrome’s Dinosaur Game is a fun game that many people play when they don’t have the internet. However, playing with a keyboard can get boring after a while. That’s where OpenCV comes in. OpenCV...
Ever wondered how computers uncover hidden treasures within images? Welcome to the realm of ‘Blob Detection,’ where even the most inconspicuous regions become keys to unlocking visual mysteries. In this captivating journey, we’ll explore...
Painting a vivid picture often hinges on the interplay of light and shadow within an image. Imagine having a tool that not only enhances those subtleties but breathes life into every pixel. Welcome to...
Program 1 import cv2 import matplotlib.pyplot as plt img=cv2.imread(“D://opencvapp//wildlifeImages//wildlife-tiger.jpg”) cv2.imshow(‘Origal Image ‘,img) #BGR to RGB rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB) cv2.imshow(‘RGB in OpenCV Image ‘,rgb) plt.imshow(rgb) plt.show() # #BGR to Gray # gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # cv2.imshow(‘Gray Image ‘,gray) #...
Program 1 import cv2 img=cv2.imread(“D://opencvapp//wildlifeImages//wildlife-tiger.jpg”) cv2.imshow(‘Original Image’,img) #blur=cv2.blur(img,(9,9)) blur=cv2.GaussianBlur(img,(17,17),10) cv2.imshow(‘Blur Image’,blur) canny=cv2.Canny(img,125,125) print(type(canny)) cv2.imshow(‘Canny Image’,canny) cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 import numpy as np img=cv2.imread(“D://opencvapp//wildlifeImages//walking-dog.jpg”) print(type(img)) cv2.imshow(‘Orginal Image Window’,img) x=-100 y=100 trans=np.float32([[1,0,x],[0,1,y]]) dim=((img.shape[1],img.shape[0])) img1=cv2.warpAffine(img,trans,dim) cv2.imshow(‘Transformation Image Window’,img1) cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 import matplotlib.pyplot as plt img=cv2.imread(“D://opencvapp//wildlifeImages//walking-dog.jpg”) cv2.imshow(‘Image Window’,img) # Conver BGR to RGB rgb=cv2.cvtColor(img,cv2.COLOR_BGR2RGB) plt.imshow(rgb) plt.show() cv2.waitKey(0) cv2.destroyAllWindows()
Program 1 import cv2 import numpy as np emptyimg=np.zeros((700,700,3)) #emptyimg[200:300,300:400]=255,0,0 # Draw Rectangle #cv2.rectangle(emptyimg,(50,50),(300,300),(0,0,255),thickness=cv2.FILLED) # print(emptyimg.shape[1]//2) # print(emptyimg.shape[0]//2) #cv2.rectangle(emptyimg,(30,30),(emptyimg.shape[1]//2,emptyimg.shape[0]//2),(255,255,0),thickness=cv2.FILLED) #Draw circle # cv2.circle(emptyimg,(100,100),70,(0,0,255),thickness=cv2.FILLED) # cv2.imshow(‘Blank Window’,emptyimg) #Draw circle # cv2.line(emptyimg,(0,0),(300,300),(0,255,0),thickness=3) # cv2.line(emptyimg,(500,0),(0,500),(0,255,0),thickness=7) cv2.rectangle(emptyimg,(50,50),(650,150),(0,255,255),thickness=1) cv2.putText(emptyimg,”Data...
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=((“Video”, “*.mp4”), (“All File”, “*.*”))) vdo = cv2.VideoCapture(filename) while True:...
