![]() Return cv2.resize(image, dim, interpolation=inter)Ĭv2.imshow('width_100', maintain_aspect_ratio_resize(image, width=100))Ĭv2. # Calculate the ratio of the width and construct the dimensions # We are resizing width if height is none This article will walk you through those options and look at ImageKit - a cloud-based, ready-to-use solution that offers real-time image manipulation. # Calculate the ratio of the height and construct the dimensions Python offers a rich set of options to perform some of the routine image resizing tasks. # We are resizing height if width is none # Return original image if no need to resize # Grab the image size and initialize dimensions Here's a function to upscale or downscale an image by desired width or height while maintaining aspect ratio # Resizes a image and maintains aspect ratioĭef maintain_aspect_ratio_resize(image, width=None, height=None, inter=cv2.INTER_AREA): Thumbnail = cv.resize(im, (round(width / 10), round(height / 10)), interpolation=cv.INTER_AREA) Using your code with cv2 import cv2 as cv Img = cv2.resize(img, None, fx=scaling_factor, fy=scaling_factor, interpolation=cv2.INTER_AREA) Scaling_factor = max_width / float(width) If max_width/float(width) < scaling_factor: Scaling_factor = max_height / float(height) If max_height < height or max_width < width: # only shrink if img is bigger than required Example shrink image to fit a max height/width (keeping aspect ratio) import cv2 To shrink an image, it will generally look best with INTER_AREA interpolation, whereas to enlarge an image, it will generally look best with INTER_CUBIC (slow) or INTER_LINEAR (faster but still looks OK). Where fx is the scaling factor along the horizontal axis and fy along the vertical axis. ![]() The new size can be specified:ĭst = cv2.resize(src, (2*width, 2*height), interpolation = cv2.INTER_CUBIC)ĭst = cv2.resize(src, None, fx = 2, fy = 2, interpolation = cv2.INTER_CUBIC), 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.There are two ways to resize an image. 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. In this entire tutorial, you will know how to scale and resize an image using the OpenCV cv2 resize () method with step by step. ![]() (new_width, new_height) is the dsize parameter from the original syntax. Do you want to resize an image in python using cv2. 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: Code : import cv2 file '/home/tanmay/Desktop/testimage.png' img cv2.imread (file, 0) print (img.shape) cv2.imshow img, img) k cv2. 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. For example, if your script is on the same folder with “image.jpeg” you can read the image into your program by: import cv2 Resize Images in Python With Pillow Import the PIL image class: from PIL import Image Load the image from a file with the open() function: image Image.open. ![]()
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