JupyterJones

import os
import random
import shutil
import uuid
from moviepy.editor import VideoFileClip, concatenate_videoclips

def get_random_video_clips(dir_path, num_clips=30, clip_duration=1, target_size=(512, 768), default_fps=30):
    video_files = []
    
    for root, dirs, files in os.walk(dir_path):

JupyterJones

import cv2
import numpy as np
from moviepy.editor import VideoFileClip
from sklearn.cluster import KMeans
# Define your own color palette as an array of RGB values
palette = np.array([[255, 0, 0],     # Red
                    [0, 255, 0],     # Green
                    [0, 0, 255],     # Blue
                    [255, 255, 0],   # Yellow
                    [255, 0, 255],   # Magenta

JupyterJones

import random
import glob
import subprocess
from PIL import Image
from datetime import datetime
def tubevid(DIR):
    image_files = glob.glob(DIR + "*.jpg")
    random.shuffle(image_files)

    # Determine the dimensions of the first image

JupyterJones

import subprocess
import os
from datetime import datetime
from random import randint 
#DIR = "/home/jack/Desktop/HDD500/0WORKSHOP-with-NOTEBOOKS/shaman/"
DIR = "/home/jack/Desktop/HDD500/FLASK/static/milestones_resources/Lexica-anime/"
VIDEOS = "EXPERIMENT/XXXX1.mp4"
BORDER ="/home/jack/Desktop/HDD500/FLASK/static/assets/512x666Border.png"
current_datetime = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
filename = f"EXPERIMENT/_file_{current_datetime}.mp4"

JupyterJones

from PIL import Image
import os

# Define the directory to use
directory = "testfiles/"

# Iterate over the files in the directory
for filename in os.listdir(directory):
    filepath = os.path.join(directory, filename)
    if filename.endswith(".webp"):

JupyterJones

JupyterJones

JupyterJones

from PIL import Image, ImageSequence

def zoom_effect(bg_file, fg_file):
    bg = Image.open(bg_file).convert('RGBA')
    bg = bg.resize((640,640), Image.BICUBIC)
    fg = Image.open(fg_file).convert('RGBA')
    fg = fg.resize((bg.size), Image.BICUBIC)
    fg_copy = fg.copy()
    fg_copy = fg_copy.resize((int(fg_copy.width), int(fg_copy.height)))
    result_images = []

JupyterJones

import os
import re

search_dir = '/home/jack/Desktop/HDD500/notebooks'  # Replace this with the directory where you want to search for Jupyter notebooks
search_string = 'password'  # Replace this with the string you want to search for
replace_string = 'XXXnopassword'  # Replace this with the string you want to replace the search string with

for file in os.listdir(search_dir):
    if file.endswith('.ipynb'):
        with open(os.path.join(search_dir, file), 'r', encoding='utf-8') as nb_file:

JupyterJones

import os

search_dir = '/home/jack/Desktop/HDD500/notebooks'  # Replace this with the directory where you want to search for Jupyter notebooks
search_string = 'passwords'  # Replace this with the string you want to search for
output_file = 'contains_passwords.txt'  # Replace this with the output file name

with open(output_file, 'w') as f:
    for file in os.listdir(search_dir):
        if file.endswith('.ipynb'):
            with open(os.path.join(search_dir, file), 'r', encoding='utf-8') as nb_file: