![]() ![]() For example, this will resize both axes by half: small cv2.resize(image, (0,0), fx0.5. In the Python program below, we resize the input image using different scaling factors and interpolations. If you wish to use CV2, you need to use the resize function. New height and width of original image: 340, 450Īnd it will display the following output window showing the original and resized images. First, we import the cv2 module and then use the cv2.resize () method to scale the 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: " ) kyle walker Jun 1 at 12:02 Try calling cv2.resizeWindow ('PNG Viewer', 800, 600) after your mshow call and remove resizedimage cv2. Increasing the size of an image requires reconstruction of the image. Reducing the size of an image will require resampling of the pixels. width by height), if you want to maintain the same in the resized image too. In the following Python program, we resize the input image to new_size = 450, 340). What size Mark Setchell Jun 1 at 11:57 MarkSetchell The newly created window is not the same size as the png because then it will fill up the whole screen. When resizing an image: It is important to keep in mind the original aspect ratio of the image (i.e. 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. Specify the full image path with image types (.jpg or. ![]() 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. Set rows and columns upwidth 600 upheight 400 uppoints (upwidth, upheight) resize the image resizedup cv2. 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 in OpenCV is referred to as scaling. OpenCV provides the function cv2.resize() to resize an image. ![]()
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