![]() How To Create A Thumbnail Whilst Preserving The Aspect Ratio Image = image.resize((wsize, base_height), ) Wsize = int((float(image.size) * float(hpercent))) Hpercent = (base_height / float(image.size)) Image = Image.open(‘fullsized_image.jpg') We can also do the exact opposite and get a specified height with the following code:Įmbark on Your AI Journey Now! base_height = 360 The image is then saved with image.save(‘image_name.jpg’).Then we resize the image based on the two values (base_width and hsize).This provides us with a ratio number that we can times by the height to get the correct height for producing our base_width.We calculate the aspect ratio for width by doing: base_width / the images existing width.Then we open the image with Image.open(‘image_name.jpg’).We set a base width which we would like the image to be.Now let’s understand the code above line by line: Image.save('resized_compressed_image.jpg') Image = image.resize((base_width, hsize), ) Hsize = int((float(image.size) * float(width_percent))) Width_percent = (base_width / float(image.size)) To learn how to resize multiple images within the current working directory.Īs well as compressing an image, we can also re-size the image to be either:.The original image with dimensions has been resized to using resize() function.As different social media platforms often require different image and width formats, resizing images automatically with python can definitely save you time. Output Original Dimensions : (149, 200, 4) Print('Resized Dimensions : ',resized.shape) Resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA) Height = int(img.shape * scale_percent / 100) Width = int(img.shape * scale_percent / 100) Scale_percent = 60 # percent of original size Print('Original Dimensions : ',img.shape) Img = cv2.imread('/home/img/python.png', cv2.IMREAD_UNCHANGED) We slot bonus new member 100 di awal will use this scale_percent value along with original image’s dimensions to calculate the width and height of output image. Providing a value <100 downscales the image provided. In the following example, scale_percent value holds the percentage by which image has to be scaled. Downscale – Resize and Preserve Aspect Ratio INTER_CUBIC – a bicubic interpolation over 4×4 pixel neighborhood INTER_LANCZOS4 – a Lanczos interpolation over 8×8 pixel neighborhoodġ. But when the image is zoomed, it is similar to the INTER_NEAREST method. It may be a preferred method for image decimation, as it gives moire’-free results. INTER_NEAREST – a nearest-neighbor interpolation INTER_LINEAR – a bilinear interpolation (used by default) INTER_AREA – resampling using pixel area relation. flag that takes one of the following methods. The syntax of resize function in OpenCV is cv2.resize(src, dsize]]]) To resize an image, OpenCV provides cv2.resize() function. Also, the aspect ratio of the original image could be preserved in the resized image. Resizing an image means changing the dimensions of it, be it width alone, height alone or changing both of them. We can use cv2.resize() function to upscale, downscale, or resize to a desired size (considering or not considering the aspect ratio). ![]() In this OpenCV tutorial, we learn the syntax of cv2.resize() and how to use this function to resize a given image.
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