![]() ![]() The original image with dimensions has been resized to using resize() function. 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 How to Resize an Image using Python While. INTER_CUBIC – a bicubic interpolation over 4×4 pixel neighborhood INTER_LANCZOS4 – a Lanczos interpolation over 8×8 pixel neighborhoodġ. Dimensions: It is 2048×1152 this is also good to know to see if the resize will work after we execute some code later. 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. Some popular ones are OpenCV, scikit-image, Python Imaging Library and Pillow. If you are building your application with Python and need to add image processing features to it, there are various libraries you could use. Also, the aspect ratio of the original image could be preserved in the resized image. Introduction Many applications use digital images, and with this, there is usually a need to process the images used. 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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