image.py 文件源码

def load_image(source,
               scale=1,
               gray=False,
               memory=Memory(cachedir=None)):
    data_dir = get_data_dirs()[0]
    if source == 'face':
        image = face(gray=gray)
        image = image.astype(np.float32) / 255
        if image.ndim == 2:
            image = image[..., np.newaxis]
        if scale != 1:
            image = memory.cache(rescale)(image, scale=scale)
        return image
    elif source == 'lisboa':
        image = imread(join(data_dir, 'images', 'lisboa.jpg'), as_grey=gray)
        image = image.astype(np.float32) / 255
        if image.ndim == 2:
            image = image[..., np.newaxis]
        if scale != 1:
            image = memory.cache(rescale)(image, scale=scale)
        return image
    elif source == 'aviris':
        image = open_image(
            join(data_dir,
                 'aviris',
                 'f100826t01p00r05rdn_b/'
                 'f100826t01p00r05rdn_b_sc01_ort_img.hdr'))
        image = np.array(image.open_memmap(), dtype=np.float32)
        good_bands = list(range(image.shape[2]))
        good_bands.remove(110)
        image = image[:, :, good_bands]
        indices = image == -50
        image[indices] = -1
        image[~indices] -= np.min(image[~indices])
        image[~indices] /= np.max(image[~indices])
        return image
    else:
        raise ValueError('Data source is not known')