This repository contains a Bash script for automating a photogrammetry workflow on macOS. It takes video files as input and uses FFmpeg and COLMAP to generate a 3D sparse point cloud.
This script is a modified version of AeroGenesiX’s modified version of Polyfjord’s original Windows batch script, rewritten to run smoothly on macOS systems.
| #!/usr/bin/env python3 | |
| """ | |
| AutoTracker GUI (Python) – Cross-Platform (preferred layout) | |
| + i18n (DE/EN auto + dropdown) | |
| + Linux installer/compilers from release archives (COLMAP 3.12.3 / GLOMAP 1.1.0) | |
| + Project-structure creation prompt, PATH fallback search, runtime timer, FPS options | |
| This file is based on polyfjords AutoTracker_v1.4.bat | |
| """ | |
| import os, shutil | |
| from pathlib import Path |
| :: ================================================================ | |
| :: BATCH SCRIPT FOR AUTOMATED PHOTOGRAMMETRY TRACKING WORKFLOW | |
| :: By polyfjord - https://youtube.com/polyfjord | |
| :: GLOMAP mapping (faster), COLMAP for features/matching + TXT export | |
| :: ================================================================ | |
| @echo off | |
| setlocal EnableExtensions EnableDelayedExpansion | |
| :: ---------- Resolve top-level folder (one up from this .bat) ----- | |
| pushd "%~dp0\.." >nul |
This repository contains a robust Bash script for automating a photogrammetry workflow on Linux. It takes video files as input and uses FFmpeg and COLMAP to generate a 3D sparse point cloud, complete with intelligent error handling and automatic GPU detection.
This script is a heavily modified and debugged Linux version of an original concept by polyfjord.
| :: ================================================================ | |
| :: BATCH SCRIPT FOR AUTOMATED PHOTOGRAMMETRY TRACKING WORKFLOW | |
| :: By polyfjord - https://youtube.com/polyfjord | |
| :: ================================================================ | |
| :: USAGE | |
| :: • Double-click this .bat or run it from a command prompt. | |
| :: • Frames are extracted, features matched, and a sparse | |
| :: reconstruction is produced automatically. | |
| :: • Videos that have already been processed are skipped on | |
| :: subsequent runs. |
| /** | |
| * @name FreeStickers | |
| * @version 1.4.0 | |
| * @description Link stickers or upload animated stickers as gifs! | |
| * @author An0 | |
| * @source https://github.com/An00nymushun/DiscordFreeStickers | |
| * @updateUrl https://raw.githubusercontent.com/An00nymushun/DiscordFreeStickers/main/FreeStickers.plugin.js | |
| */ | |
| ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// |
| """ | |
| Built on top of this gist by @karpathy: | |
| https://gist.github.com/karpathy/00103b0037c5aaea32fe1da1af553355 | |
| stable diffusion dreaming over text prompts | |
| creates hypnotic moving videos by smoothly walking randomly through the sample space | |
| example way to run this script: | |
| $ python stable_diffusion_walk.py --prompts "['blueberry spaghetti', 'strawberry spaghetti']" --seeds 243,523 --name berry_good_spaghetti |
| To the extent possible under law, @mechanicalnull has waived all copyright and related or neighboring rights to this Binary Ninja Snippets Collection (https://gist.github.com/mechanicalnull/b19c29ce38152b7304c2fad66168badd). This work is published from: United States. | |
| For more information on a CC0 license, see: https://creativecommons.org/publicdomain/zero/1.0/deed.en |
| import sys | |
| import zipfile | |
| import random | |
| def get_zip_file_header_offset(zip_filename, target_filename): | |
| """ | |
| Parse the file header offset for a target_filename. | |
| :param zip_filename: The name of the zip file to read. | |
| :param target_filename: The name of the file to find the header of. |
