gif2numpy 1.1

Convert single and multiple frame gif images to numpy images or to OpenCV without PIL or pillow

# gif2numpy Version 1.1 Python library to convert single oder multiple frame gif images to numpy images or to OpenCV without PIL or pillow. OpenCV does not support gif images.

Install it with

setup.py install

or with

pip install gif2numpy

# Usage

You can use the library this way:

from __future__ import print_function

import gif2numpy

import cv2

images = “Images/Rotating_earth.gif”, “Images/audrey.gif”, “Images/hopper.gif”, “Images/testcolors.gif”

for image in images:

frames, exts, image_specs = gif2numpy.convert(image)

print()

print(“Image:”, image)

print()

print(“len frames”, len(frames))

print(“len exts”, len(exts))

print(“exts:”, exts)

print(“image_specs:”, image_specs)

for i in range(1):

cv2.imshow(“np_image”, frames[i])

cv2.waitKey(0)

cv2.destroyWindow(“np_image”)

There is also the class Gif inside the module which can be used to determine Gif features inside the image. The general features are give in the dictionary image_specs. If multiple frames are saved in the gif you can retrieve them in the list of frames. The list of exts gives you the specifications of each frame (block_size, flags, delay_time, transparent_idx, terminator, lzw_min, top, left, width, height, has_color_table, local_color_table).

# Dependencies

You need to install cv2 (opencv-python), numpy, kaitaistruct by:

pip install opencv-python numpy kaitaistruct