![]() In the Python program below, we resize the input image using different scaling factors and interpolations. New height and width of original image: 340, 450Īnd it will display the following output window showing the original and resized images. When you run the above program, it will produce the following output − Height and width of original image: 465, 700 resize (img, new_size ) # Convert the images from BGR to RGB ![]() Print ( f"Height and width of original image: " ) Set rows and columns upwidth 600 upheight 400 uppoints (upwidth, upheight) resize the image resizedup cv2. In the following Python program, we resize the input image to new_size = 450, 340). We will use this image as the input file in the following examples − Let's understand the different image resizing options with the help of some Python examples. Resize_img = cv2.resize(img,(0, 0),fx=0.5, fy=0.7, interpolation = cv2.INTER_AREA)ĭisplay the resized image(s). fx and fy are scale factors to width and height respectively. Resize the image passing the new_size or the scaling factors fx and fy and the interpolation. In this entire tutorial, you will know how to scale and resize an image using the OpenCV cv2 resize () method with step by step. Specify the full image path with image types (.jpg or. How to Resize an Image using cv2.resize () method: 3 Steps Only READ NEXT cv2 normalize Method Implementation in Python Do you want to resize an image in python using cv2. Read an image using cv2.imread() function. ![]() Make sure you have already installed them. In all the following Python examples, the required Python libraries are OpenCV and Matplotlib. You can use the following steps to resize an image − ![]() There are different interpolation methods used in cv2.resize() function −Ĭv2.INTER_AREA − Used for shrinking an image.Ĭv2.INTER_CUBIC − It’s slow, used for zooming.Ĭv2.INTER_LINEAR − Used for zooming. The aspect ratio is preserved when we specify the scaling factor. We can resize an image by specifying the image size or scaling factor. Resizing, by default, does only change the width and height of the. Call the resize () method on the new image instance, passing a tuple argument with two integers to specify the width and height you desire: image Image.open ('myimage.jpg') newimage image.resize ( (500, 500)) newimage.save ('myimage500. Resizing in OpenCV is referred to as scaling. To resize an image in Python, you can use cv2.resize() function of OpenCV library cv2. OpenCV provides the function cv2.resize() to resize an image. ![]()
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