gmvae.py 文件源码

python
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项目:vi_vae_gmm 作者: wangg12 项目源码 文件源码
def save_image_with_clusters(x, clusters, filename, shape=(10, 10), scale_each=False,
                           transpose=False):
    '''single image, each row is a cluster'''
    makedirs(filename)
    n = x.shape[0]

    images = np.zeros_like(x)
    curr_len = 0
    for i in range(10):
        images_i = x[clusters==i, :]
        n_i = images_i.shape[0]
        images[curr_len : curr_len+n_i, :] = images_i
        curr_len += n_i

    x = images

    if transpose:
        x = x.transpose(0, 2, 3, 1)
    if scale_each is True:
        for i in range(n):
            x[i] = rescale_intensity(x[i], out_range=(0, 1))

    n_channels = x.shape[3]
    x = img_as_ubyte(x)
    r, c = shape
    if r * c < n:
        print('Shape too small to contain all images')
    h, w = x.shape[1:3]
    ret = np.zeros((h * r, w * c, n_channels), dtype='uint8')
    for i in range(r):
        for j in range(c):
            if i * c + j < n:
                ret[i * h:(i + 1) * h, j * w:(j + 1) * w, :] = x[i * c + j]
    ret = ret.squeeze()
    io.imsave(filename, ret)
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