![]() Resizing the image means changing the dimensions of it. OpenCV provides us number of interpolation methods to resize the image. The original image with dimensions has been resized to using resize() function. To resize images in Python using OpenCV, use cv2.resize () method. 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 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. Resize only the height (Increase or decrease the height of the image keeping width unchanged)įollowing is the original image with dimensions (149,200,4) (height, width, number of channels) on which we shall experiment on :Įxample 1 – Resize and Preserve Aspect Ratio Downscale with resize().Resize only the width (Increase or decrease the width of the image keeping height unchanged).Import the same libraries as given under the nearest. Upscale (Increase the size of the image) To use this type of interpolation to resize an image in openCV we use the resize function with the cv2.INTERLINEAR interpolation flag.Downscale (Decrease the size of the image).We do this by using the OpenCV flag COLORBGR2RGB. cv2 resize can upscale, downscale, resize to a desired size while considering aspect ratio. After opening the image, we convert the image from BGR to RGB. Preserve Aspect Ratio (height to width ratio of image is preserved) To resize image in Python, OpenCV cv2.resize() can be used.We will look into examples demonstrating the following resize operations. Resizing an image can be done in many ways. INTER_CUBIC – a bicubic interpolation over 4×4 pixel neighborhood INTER_LANCZOS4 – a Lanczos interpolation over 8×8 pixel neighborhood But when the image is zoomed, it is similar to the INTER_NEAREST method. This is the default interpolation technique in OpenCV. cv2.INTERLINEAR: This is primarily used when zooming is required. ![]() cv2.INTERCUBIC: This is slow but more efficient. ![]() Choice of Interpolation Method for Resizing: cv2.INTERAREA: This is used when we need to shrink an image. It may be a preferred method for image decimation, as it gives moire’-free results. The cv2 resize () function is specifically used to resize images using different interpolation techniques. OpenCV provides us several interpolation methods for resizing an image. 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]]]) ![]()
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