Height = int(src.shape * scale_percent / 100)Ĭv2.imwrite('D:/cv2-resize-image-50.png',output) Width = int(src.shape * scale_percent / 100) #calculate the 50 percent of original dimensions Src = cv2.imread('D:/cv2-resize-image-original.png', cv2.IMREAD_UNCHANGED) We will resize the image to 50% of its actual shape, i.e., we will reduce its height to 50% of its original and width to 50% of its original. In the following example, we are going to see how we can resize the above image using cv2.resize() while preserving the aspect ratio. Input Image Example 1: Resize Image – cv2.resize() We will use this image as input or source image in our ongoing example programs. Meaning, change height, keeping width same as that of original image.Ĭonsider the following image. Scale the image only along Y-axis or Vertical axis.Meaning, change width, keeping height same as that of original image. Scale the image only along X-axis or Horizontal axis.Just to make things clear, Aspect Ratio is the ratio of image width to image height. Preserve the Aspect Ration and increase or decrease the width and height of the image.You can think interpolation as a method that decides which pixel gets which value based on its neighboring pixels and the scale at which the image is being resized. interpolation could be one of the following values.īased on the interpolation technique selected, respective algorithm is used.fy is the scaling factor along Y-axis or Vertical axis.fx is the scaling factor along X-axis or Horizontal axis.
#CV2 RESIZE HOW TO#
In this tutorial, we shall learn how to resize image in Python using OpenCV library. Aspect Ratio can be preserved by calculating width or height for given target height or width respectively. The aspect ratio can be preserved or not, based on the requirement. Resizing, by default, does only change the width and height of the image. To resize an image in Python, you can use cv2.resize() function of OpenCV library cv2. Example 2: cv2 Resize Image Horizontally.
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