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import cv2
from pathlib import Path

path_to_video = Path("some/path/to/video.mp4")

video_handler = cv2.VideoCapture(str(path_to_video))

n_frames = int(video_handler.get(cv2.CAP_PROP_FRAME_COUNT))
w = int(video_handler.get(cv2.CAP_PROP_FRAME_WIDTH))
h = int(video_handler.get(cv2.CAP_PROP_FRAME_HEIGHT))

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inline float fast_exp(float x)
{
    union {
        uint32_t i;
        float f;
    } v{};
    v.i = (1 << 23) * (1.4426950409 * x + 126.93490512f);
    return v.f;
}

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import logging
import os
import numpy as np

from pathlib import Path
from math import floor

from typing import *

EXTENSIONS = {'.png', '.jpeg', '.jpg'}

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# This code has been taken from https://github.com/immersive-limit/coco-manager/
# Usage: python filter.py --input_json /path/to/instances_train2017.json 
#                         --output_json path_to/saved.json --categories person dog cat

import json
from pathlib import Path

class CocoFilter():
    """ Filters the COCO dataset
    """

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1. Go to https://developers.google.com/docs/api/quickstart/python and download credentials.json by clicking on "DOWNLOAD CLIENT CONFIGURATION"
2. Put credentials.json in your working directory
3. Do `pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib`
4. See the code above.

Useful link on editing, inserting and deleting text: https://developers.google.com/docs/api/how-tos/move-text

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git commands and tricks in comments |
                                    v

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https://www.youtube.com/watch?v=ANsVodOu1Tg

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comments

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ffmpeg -f x11grab -s wxga -r 25 -i :0.0 -qscale 0 /tmp/out.mpg

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See comments below