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)

What imageio version are you running?
ie run this:

import imageio
print(imageio.__version__)

whenever I use this method it does not convert the entire mp4 but only part of it

I wrote a multi-threaded version of this which increases efficiency by converting multiple files at once.

I wrote a multi-threaded version of this which increases efficiency by converting multiple files at once.

Can you share the code please...?

the code is a gist on my account. This was a quick project that i haven't looked back at so be careful and read through it before you use it.
also, just fyi, it's set up to convert mp4 to gif, but mp4 actually is much more efficient than gif.

It does not convert at all, just the first frame of the video. Then for the rest of the duration of the original video, there is only a still frame. Python 3.8,1, imageio 2.9 Thanks.

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.