![]() However, the difference is there.įor instance, the first image is clearly sharper than the last image. INTER_NEAREST INTER_CUBIC INTER_LINEAR INTER_AREAīecause the images are small here, there is no clear difference. Resized = cv2.resize(img, (new_width, new_height))Ĭv2.imshow(f"Elephants at scale ", resized)įeel free to comment out/uncomment a line based on which interpolation method you want to use. Then multiply both the width and the height of the original image by the scaling factor.įinally, call the cv2.resize() function with downscaled width and height.įor instance, let’s scale the image down to 25% of the original size and show it using the imshow() function. To do this, specify a scaling factor that is less than 1. This means you keep the aspect ratio of the image but make the image smaller. One way to change the size of your image is by downscaling it. (new_width, new_height) is the dsize parameter from the original syntax. In other words, we are going to call the cv2.resize() function with the following syntax: cv2.resize(src, (new_width, new_height)) To keep it simple, we are only going to use these two parameters at first: interpolation flag that determines how the output pixels are arranged.fy scale factor along the vertical axis.fx scale factor along the horizontal axis.dsize is the desired size of the output image.The syntax of the cv2.resize() function is: cv2.resize(src, dsize, fx, fy, interpolation) ![]() It takes the original image, modifies it, and returns a new image. To resize images with OpenCV, use the cv2.resize() function. Resize an Image with cv2.resize() Function Now that you have read the image, let’s resize it. We are going to perform:Īlso, we are going to talk about scaling factors and interpolation.įor example, if your script is on the same folder with “image.jpeg” you can read the image into your program by: import cv2 In this guide, you learn what image resizing means, and how to do it using OpenCV in Python. Next, let’s take a closer look at resizing images with OpenCV. Here is a quick cheat sheet for resizing images in four ways: # Read the image Call cv2.resize() function with the new dimensions.Multiply the width and the height by the scaling factor.To resize an image using OpenCV, use the cv2.resize() function.
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