Python,从代表图像的 numpy ndarrays 的 numpy ndarray 创建一个 .gif :
import os
import numpy as np
from moviepy.editor import ImageSequenceClip
#Installation instructions:
# pip install numpy
# pip install moviepy
# Moviepy needs ffmpeg tools on your system
# (I got mine with opencv2 installed with ffmpeg support)
def create_gif(filename, array, fps=10, scale=1.0):
"""creates a gif given a stack of ndarray using moviepy
Parameters
----------
filename : string
The filename of the gif to write to
array : array_like
A numpy array that contains a sequence of images
fps : int
frames per second (default: 10)
scale : float
how much to rescale each image by (default: 1.0)
"""
fname, _ = os.path.splitext(filename) #split the extension by last period
filename = fname + '.gif' #ensure the .gif extension
if array.ndim == 3: #If number of dimensions are 3,
array = array[..., np.newaxis] * np.ones(3) #copy into the color
#dimension if images are
#black and white
clip = ImageSequenceClip(list(array), fps=fps).resize(scale)
clip.write_gif(filename, fps=fps)
return clip
randomimage = np.random.randn(100, 64, 64)
create_gif('test.gif', randomimage) #example 1
myimage = np.ones(shape=(300, 200))
myimage[:] = 25
myimage2 = np.ones(shape=(300, 200))
myimage2[:] = 85
arrayOfNdarray = np.array([myimage, myimage2])
create_gif(filename="grey_then_black.gif", #example 2
array=arrayOfNdarray,
fps=5,
scale=1.3)
印刷:
[MoviePy] Building file test.gif with imageio
100%|██████████████████████████████████████████| 100/100 [00:00<00:00, 905.27it/s]
[MoviePy] Building file grey_then_black.gif with imageio
67%|█████████████████████████▎ | 2/3 [00:00<00:00, 65.65it/s]