Working Deepfake Code

!pip install scikit-video
import skvideo.io
driving_video = skvideo.io.vread("/content/gdrive/My Drive/first-order-motion-model/huhu.mp4")
print(driving_video.shape)

import imageio
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from skimage.transform import resize
from IPython.display import HTML
import warnings
warnings.filterwarnings("ignore")

source_image = imageio.imread('/content/gdrive/My Drive/first-order-motion-model/prej.png')

#Resize image and video to 256x256

source_image = resize(source_image, (256, 256))[..., :3]
driving_video = [resize(frame, (256, 256))[..., :3] for frame in driving_video]

def display(source, driving, generated=None):
    fig = plt.figure(figsize=(8 + 4 * (generated is not None), 6))

    ims = []
    for i in range(len(driving)):
        cols = [source]
        cols.append(driving[i])
        if generated is not None:
            cols.append(generated[i])
        im = plt.imshow(np.concatenate(cols, axis=1), animated=True)
        plt.axis('off')
        ims.append([im])

    ani = animation.ArtistAnimation(fig, ims, interval=50, repeat_delay=1000)
    plt.close()
    return ani


HTML(display(source_image, driving_video).to_html5_video())