utils.py 文件源码

def vis_square(visu_path, data, type):
    """Take an array of shape (n, height, width) or (n, height, width , 3)
       and visualize each (height, width) thing in a grid of size approx. sqrt(n) by sqrt(n)"""

    # normalize data for display
    data = (data - data.min()) / (data.max() - data.min())

    # force the number of filters to be square
    n = int(np.ceil(np.sqrt(data.shape[0])))

    padding = (((0, n ** 2 - data.shape[0]),
                (0, 1), (0, 1))  # add some space between filters
               + ((0, 0),) * (data.ndim - 3))  # don't pad the last dimension (if there is one)
    data = np.pad(data, padding, mode='constant', constant_values=1)  # pad with ones (white)

    # tilethe filters into an im age
    data = data.reshape((n, n) + data.shape[1:]).transpose((0, 2, 1, 3) + tuple(range(4, data.ndim + 1)))

    data = data.reshape((n * data.shape[1], n * data.shape[3]) + data.shape[4:])

    plt.imshow(data[:, :, 0])
    plt.axis('off')

    if type:
        plt.savefig('./{}/weights.png'.format(visu_path), format='png')
    else:
        plt.savefig('./{}/activation.png'.format(visu_path), format='png')