jonasfroeller

@ECHO OFF

REM Set the path to WSL executable
SET WSL_EXECUTABLE=C:\Windows\System32\wsl.exe

REM Get the input and output file paths
SET "INPUT_FILE=%~1"
SET "OUTPUT_FILE=%~1_no_watermark"

REM Debugging output

jonasfroeller

@ECHO OFF
color 0A

REM dependencies of the watermark remover
REM python -m pip install numpy scipy imageio
REM apt install python3-scipy python3-numpy python3-imageio

REM set paths
SET YOUTUBE_DL_PATH=A:\VideoDownloader\youtube-dl-nightly.exe
SET FFMPEG_PATH=C:\ProgramData\chocolatey\lib\ffmpeg\tools\ffmpeg\bin\ffmpeg.exe

jonasfroeller

{
  "compilerOptions": {
    "incremental": true,
    "target": "ES2020",
    "module": "es2020",
    "allowJs": true,
    "checkJs": true,
    "declaration": true,
    "declarationMap": true,
    "sourceMap": true,

jonasfroeller

import os
import shutil
import uuid
import ffmpeg

# Dependencies:
# sudo apt install ffmpeg
# pip install python-ffmpeg

def is_video(file_path):

jonasfroeller

name: CICD Pipeline (Quarkus, Webpack, OracleCloud)

on: [push]

jobs:
  test-and-build-frontend:
    # permissions: write-all
    runs-on: ubuntu-22.04

    steps:

jonasfroeller

[Version]
major = 1
minor = 1

[Common]
max_length = 0
max_path = 0

[File]
black_suffix = ".lnk", ".pst", ".swp", ".temp", ".tmp"

jonasfroeller

.even-columns {
  display: grid;
  grid-auto-flow: column;
  grid-auto-columns: 1fr;
}

jonasfroeller

import { Ai } from './vendor/@cloudflare/ai.js';

export default {
  async fetch(request, env) {
    const ai = new Ai(env.AI);

    const url = new URL(request.url);
    const textParam = url.searchParams.get('text');

    const inputs = {

jonasfroeller

#!/bin/bash

# changing to temp dir
cd /tmp

# deleting temporary files and directories
rm -rf *

read -p "Press Enter to exit..."

jonasfroeller

@echo off

REM setting temp path
set tmp_dir=%localappdata%\Temp

REM changing to temp dir
cd /d %tmp_dir%

REM deleting temporary files and directories
del /q /f /s *