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• RESIZE IMAGE CV2 CODE

` that adjusts the ratio to resize the image in the range of objective size Image = cv2.copyMakeBorder(image, top, bottom, left, right, cv2.BORDER_CONSTANT,None,value=padding_color) 1280 pixels is the width and 720 pixels is the height now. If new_size > new_shape or new_size > new_shape: Change this one line which changes the size/resolution of the image. Ratio = float(max(new_shape))/max(original_shape) Original_shape = (image.shape, image.shape) shape 0 ) ratio float ( max ( newshape )) /max ( originalshape) newsize tuple ( int ( xratio) for x in originalshape ) image cv2. ` Final Fnction def resize_with_pad(image: np.array, new_shape: Tuple, padding_color: Tuple = (255, 255, 255)) -> np.array: Returns: image: Resized image with padding ''' originalshape ( image. That adjusts the ratio to resize the image in the range of objective size Ratio = float(min(new_shape)) / min(original_shape) ` Suggestion if new_size > new_shape or new_size > new_shape:

RESIZE IMAGE CV2 CODE

I like to suggest an optimization to work with any image size, the original code have a problem when the min dimension leng of the image after resize its bigger than the objective size in that dimension, only add this lines: copyMakeBorder( image, top, bottom, left, right, cv2. Left, right = delta_w // 2, delta_w -( delta_w // 2) Top, bottom = delta_h // 2, delta_h -( delta_h // 2) Ratio = float( max( new_shape)) / max( original_shape) 2,320 4 29 50 4 Without any distortion you have 2 options: a) crop part of the image to make it the same aspect ratio. Padding_color: Tuple in BGR of padding color

New_shape: Expected (width, height) of new image. """Maintains aspect ratio and resizes with padding. import cv2 filename 'pathtoimage' image cv2.imread (filename) small cv2.resize (image, (0,0), fx0.5, fy0.5) large cv2.resize (image, (0,0), fx1.5, fy1.5) cv2.imshow ('small image',small) cv2.imshow ('large image',large) To save rescale image cv2.imwrite ('s.jpg',small) cv2.imwrite ('l.jpg',large) cv2.

imgarray.shape: (240, 320, 3) print (cv2.version): 4.2.