mstevenson

import os
import sys
import argparse
import uuid
import logging
from concurrent.futures import ThreadPoolExecutor
from typing import List, Tuple, Dict, Optional

logging.basicConfig(level=logging.INFO, format='%(message)s')

mstevenson

git lfs migrate import --include="*.unitypackage,*.cubemap,*.ma,*.mb,*.obj,*.fbx,*.ztl,*.zbr,*.max,*.stl,*.blend,*.lxo,*.dae,*.jpg,*.jpeg,*.png,*.gif,*.tif,*.tiff,*.bmp,*.exr,*.hdr,*.psd,*.tga,*.pdf,*.ai,*.webp,*.zip,*.gz,*.7z,*.rar,*.tar,*.mov,*.avi,*.mp4,*.m4v,*.mpg,*.mpeg,*.ogv,*.ogx,*.webm,*.mp4,*.m4a,*.ogg,*.oga,*.spx,*.aif,*.aiff,*.wav,*.flac,*.bank,*.dll,*.so,*.exe,*.dat" --everything

mstevenson

import internetarchive as ia
from pathlib import Path
import argparse
import time

config = dict(general=dict(secure=False))

def download_collection(collection_name, output_dir):
    search = ia.search_items(f'collection:{collection_name}', config=config)
    dir = Path(output_dir) / collection_name

mstevenson

# extract frames every n seconds from a directory of videos

import cv2
import os
from pathlib import Path

video_base_path = Path('videos')
frames_root_path = Path('frames')

interval = 30 #seconds

mstevenson

# Python GUI tool to manually caption images for machine learning.
# A sidecar file is created for each image with the same name and a .txt extension.
#
# [control/command + o] to open a folder of images.
# [page down] and [page up] to go to next and previous images. Hold shift to skip 10 images.
# [shift + home] and [shift + end] to go to first and last images.
# [shift + delete] to move the current image into a '_deleted' folder.
# [escape] to exit the app.

import os

mstevenson

import os
from PIL import Image

path = 'input_image_dir_path'
save_path = 'output_image_dir_path'

for filename in os.listdir(path):
    img = Image.open(path + filename)
    if img is not None:
        width, height = img.size

mstevenson

#target photoshop

// open a folder of images
var folder = Folder.selectDialog("Select a folder of JPGs to crop");
var files = folder.getFiles("*.jpg");

// create a folder to save the files to if it doesn't exist
var saveFolder = new Folder(folder + "/cropped");
if (!saveFolder.exists) saveFolder.create();

mstevenson

check current python linkage

% otool -L /Applications/Synalyze\ It\!\ Pro.app/Contents/MacOS/Synalyze\ It\!\ Pro | grep Python
	/System/Library/Frameworks/Python.framework/Versions/2.7/Python (compatibility version 2.7.0, current version 2.7.16)

Download and install Python2.7.16 for macOS. By default this lands in /Library/Frameworks/Python.framework/Versions/2.7

Make a copy of the Synalize It! Pro app bundle, e.g. to your desktop.

cp -R /Applications/Synalyze\ It\!\ Pro.app ~/Desktop

mstevenson

#!/usr/bin/env bash

SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
OUTPUT="$SCRIPT_DIR/output"

if [ ! -d "$OUTPUT" ]; then
  mkdir -p "$OUTPUT";
fi

for i in *.mov;

mstevenson

*.cs diff=csharp

# Macro attribute, linguist-generated means the file is ignored for the
# repository's language statistics and diffs are hidden by default
[attr]unity-yaml-file -text -merge=unityamlmerge linguist-generated

# Macro attribute for LFS files
[attr]lfs-file filter=lfs diff=lfs merge=lfs -text

### Unity YAML Files ###