numpy2gif 1.0

Convert single and multiple numpy images to a gif image without PIL or pillow

# numpy2gif Python library to convert single and multiple numpy images to a gif image without PIL or pillow. OpenCV does not support gif images. This a fork of array2gif from Tanya Schlusser found at: https://github.com/tanyaschlusser/array2gif

Install it with

setup.py install

or with

pip install numpy2gif

# Usage

You can use the library this way:

from __future__ import print_function from numpy2gif import write_gif import cv2 images = [cv2.cvtColor(cv2.imread(“Images/number”+str(i)+”.bmp”), cv2.COLOR_BGR2RGB) for i in range(1, 5)] print(type(images[0])) print(images[0].shape, images[0].dtype) write_gif(images, “countdown.gif”, fps=3) write_gif(images[0], “one.gif”)

Try a backward test from converting a gif to numpy frames with the external module gif2numpy and back to a multiple gif image with numpy2gif:

from __future__ import print_function from gif2numpy import convert from numpy2gif import write_gif import cv2

image = “Images/Rotating_earth.gif” frames, exts, image_specs = convert(image, BGR2RGB=False) print(“len(frames), len(exts), exts[0][‘delay_time’]”, len(frames), len(exts), exts[0][‘delay_time’]) write_gif(frames, ‘Rotating_earth_new.gif’, fps=12) write_gif(frames[0], ‘earth.gif’)

# Version history

1.0: first release

# Dependencies

You need to install numpy by:

pip install numpy