(img, palette, options)
return labels.reshape(orig_shape[:-1])
Apply the pallete to the given image. The first step is to set all
background pixels to the background color; then, nearest-neighbor
matching is used to map each foreground color to the closest one in
the palette.
Apply the pallete to the given image. The first step is to set all
background pixels to the background color; then, nearest-neighbor
matching is used to map each foreground color to the closest one in
the palette.
Apply the pallete to the given image . The first step is to set all background pixels to the background color ; then nearest - neighbor matching is used to map each foreground color to the closest one in the palette .
def apply_palette(img, palette, options):
    '''Apply the pallete to the given image. The first step is to set all
background pixels to the background color; then, nearest-neighbor
matching is used to map each foreground color to the closest one in
the palette.

    '''

    if not options.quiet:
        logger.info('  applying palette...')

    bg_color = palette[0]

    fg_mask = get_fg_mask(bg_color, img, options)

    orig_shape = img.shape

    pixels = img.reshape((-1, 3))
    fg_mask = fg_mask.flatten()

    num_pixels = pixels.shape[0]

    labels = np.zeros(num_pixels, dtype=np.uint8)

    labels[fg_mask], _ = vq(pixels[fg_mask], palette)

    return labels.reshape(orig_shape[:-1])
def apply_palette ( img , palette , options ) : if not options . quiet : logger . info ( '  applying palette...' ) bg_color = palette [ 0 ] fg_mask = get_fg_mask ( bg_color , img , options ) orig_shape = img . shape pixels = img . reshape ( ( - 1 , 3 ) ) fg_mask = fg_mask . flatten ( ) num_pixels = pixels . shape [ 0 ] labels = np . zeros ( num_pixels , dtype = np . uint8 ) labels [ fg_mask ] , _ = vq ( pixels [ fg_mask ] , palette ) return labels . reshape ( orig_shape [ : - 1 ] )