Convert MP4/AVI clips to GIF with a single Python function

convert.py

import imageio
import os, sys

class TargetFormat(object):
    GIF = ".gif"
    MP4 = ".mp4"
    AVI = ".avi"

def convertFile(inputpath, targetFormat):
    """Reference: http://imageio.readthedocs.io/en/latest/examples.html#convert-a-movie"""
    outputpath = os.path.splitext(inputpath)[0] + targetFormat
    print("converting\r\n\t{0}\r\nto\r\n\t{1}".format(inputpath, outputpath))

    reader = imageio.get_reader(inputpath)
    fps = reader.get_meta_data()['fps']

    writer = imageio.get_writer(outputpath, fps=fps)
    for i,im in enumerate(reader):
        sys.stdout.write("\rframe {0}".format(i))
        sys.stdout.flush()
        writer.append_data(im)
    print("\r\nFinalizing...")
    writer.close()
    print("Done.")

convertFile("C:\\Users\\Yoda\\Desktop\\EwokPr0n.mp4", TargetFormat.GIF)

How to Convert Video to GIF Using Python
Visit:- https://www.techroadmap.in/blog/how-to-convert-video-to-gif-using-python/

How to Convert Video to GIF Using Python
Visit:- https://www.techroadmap.in/blog/how-to-convert-video-to-gif-using-python/

Under the hood all the GIF-writing methods use PIL.
The link above does it too, but falls short on the quality of the output. Here's some troubleshooting insight I earned painfully a few days ago:

Problem 1: Transparency of frames

Symptom: Output GIF has bad quality on texts. Looks like really bad antialiasing.

Reason: The alpha channel of frames is just cut away by pillow, but unless there wasn't any transparency this is not the correct way to remove transparency.

Solution: Make sure to create frames (e.g. matplotlib figures) with white background so cutting away the alpha channel doesn't break the colors.

Problem 2: Grizzly output GIFs

Symptom: Output GIF has artifacts, even though the frames didn't. (Like in the example from the link above.)

Reason: ???

Solution: Try to call .quantize() on the PIL.Image frames.