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from moviepy import VideoClip, ImageClip, VideoFileClip
import numpy as np
# Random RGB noise image of 200x100
frame_function = lambda t: np.random.rand(100, 200)
# To define the VideoClip as a mask, just pass parameter is_mask as True
maskclip1 = VideoClip(frame_function, duration=4, is_mask=True) # A random noise mask
maskclip2 = ImageClip("example_mask.jpg", is_mask=True) # A fixed mask as jpeg
maskclip3 = VideoFileClip("example_mask.mp4", is_mask=True) # A video as a mask
# Load our basic clip, resize to 200x100 and apply each mask
clip = VideoFileClip("example.mp4")
clip_masked1 = clip.with_mask(maskclip1)
clip_masked2 = clip.with_mask(maskclip2)
clip_masked3 = clip.with_mask(maskclip3)
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