8/1/2023 0 Comments Opencv image resize![]() ![]() resize(src, dsize, dst, fx, fy, interpolation) Parameters src: It is the source image. Based on the requirement, the aspect ratio of an image can be preserved. Resizing, by default, only changes the width and the height of the image. The original image with dimensions has been resized to using resize() function. To resize an image in Python, resize() function of the OpenCV library is used. ![]() Resizing, by default, does only change the width and height of the. Output Original Dimensions : (149, 200, 4) To resize an image in Python, you can use cv2.resize() function of OpenCV library cv2. 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. resize cv2.resize (image, (x-axis dimensions, y-axis dimensions)) Step 5.3: Saving the frames with certain names Later on, we save the image frames we resize in the last step. Providing a value <100 downscales the image provided. In this step, we have used resize () function with particular dimensions for which the image frames need to be set. In the following example, scale_percent value holds the percentage by which image has to be scaled.
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