import numpy as np import cv2 img = cv2.imread('messi5.jpg') print(img.shape) #returns a tuple of number of rows, columns, and channels print(img.size) # returns total number of pixels is accessed print(img.dtype) # returns image datatype is obtained b,g,r = cv2.split(img) img = cv2.merge((b,g,r)) ball = img[280:340, 330:390] img[273:333, 100:160] = ball cv2.imshow('image', img) cv2.waitKey(0) cv2.destroyAllWindows()
Popular Posts
-
Java Code: private void hintMethod(){ final Dialog dialog = new Dialog(GMTActivity.this); dialog.setContentView(R.layout.t...
-
I wanted to know the different between hashtable and hashmap. And search from Google i found another thing, that is hashset. Here is the ...
-
pyramid, or pyramid representation, is a type of multi-scale signal representation in which a signal or image is subject to repeated smoot...
May 22, 2020
ROI(Region of interest) - python
Subscribe to:
Post Comments (Atom)

No comments:
Post a Comment