Python rgb_to_grayscale Examples

Example #1

File: data_maker.py Project: RaymondByc/FID-CNN

def combine(src, src_path):

    # make sure that dimensions are correct
    height, width, _ = src.shape

    # convert both images to RGB if necessary
    if src.shape[2] == 3:
        src = im.rgb_to_grayscale(images=src)

    # remove alpha channel
    if src.shape[2] == 4:
        src = src[:, :, :3]

    # 产生均值128，方差8192 的 gamma 分布 并将数据偏移到了0 - 256，并除以128，产生的数据范围[0,2]
    noise_arr = (np.random.gamma(25, 0.04, src.shape) - 1)

    # 将数据坏点（值为0）进行处理
    # noise_arr = np.where(noise_arr == 0, 0.01, noise_arr )

    # 原始数据 * gamma 噪声
    combine_arr = ((src / 255) * (1 + noise_arr)) * 255

    # restore_arr = (combine_arr / noise_arr)

    return np.concatenate((combine_arr, src), axis=1)

Example #2

File: process.py Project: Frizy-up/pix2pix-tensorflow

def grayscale(src):
    return im.grayscale_to_rgb(images=im.rgb_to_grayscale(images=src))

Example #3

File: process.py Project: Lagogoy/Deep-Learning-21-Examples

def grayscale(src):
    return im.grayscale_to_rgb(images=im.rgb_to_grayscale(images=src))