| find . -name ".DS_Store" -delete -print |
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FFmpeg is one of the most powerful tools for video transcoding and manipulation, but it's fairly complex and confusing to use. That's why I decided to create this cheat sheet which shows some of the most often used commands.
Let's start with some basics:
ffmpeg calls the FFmpeg application in the command line window, could also be the full path to the FFmpeg binary or .exe file
In this tutorial I'll show you how to create a Github webhook that will post updates from your Github account to a channel in Discord. The steps are simple so follow along!
First you need to create a webhook in a text channel. We're assuming you have both Manage Channel and Manage Webhooks permissions!
| """ | |
| A script to synchronize Jupyter notebooks (.ipynb) and Python scripts (.py). | |
| This script scans a specified directory for pairs of .py and .ipynb files | |
| with the same base name. It then compares their last modification times | |
| and copies the newer onto the older using `jupytext`. | |
| This is useful for those who prefer to track Jupyter Notebooks in .py files. | |
| Usage: |
| // Reference: http://stackoverflow.com/questions/4822471/count-number-of-lines-in-a-git-repository | |
| $ git ls-files | xargs wc -l |
| { | |
| "none": { | |
| "english_name": "", | |
| "native_name": "", | |
| "countries": [] | |
| }, | |
| "aa": { | |
| "english_name": "Afar", | |
| "native_name": "Qafar af", | |
| "countries": [ |
| import sys | |
| import argparse | |
| from PIL import Image | |
| import numpy as np | |
| def add_transparency(input_path, output_path, threshold=240): | |
| """ | |
| Add alpha channel to an image based on brightness threshold. | |
| Makes pixels with brightness >= threshold transparent. |
| """ | |
| Base Models (w/ sizes): | |
| meta-llama/Llama-3.2-1B | |
| Qwen/Qwen2.5-0.5B | |
| SpatialLM Models: | |
| manycore-research/SpatialLM-Llama-1B | |
| manycore-research/SpatialLM-Qwen-0.5B | |
| Commands: |
| #!/bin/bash | |
| # Shows which processes & users are consuming GPU memory for Nvidia GPUs. | |
| echo "User, PID, Used Memory, GPU ID" | |
| # Get the GPU processes information | |
| nvidia-smi --query-compute-apps=pid,used_memory,gpu_bus_id --format=csv,noheader | while read line | |
| do | |
| # Extract PID from the line - use cut instead of awk for CSV format |
| #!/bin/bash | |
| case $# in | |
| 0) | |
| echo "Usage: $0 {start|stop}" | |
| exit 1 | |
| ;; | |
| 1) | |
| case $1 in | |
| start) |