victor-shepardson

from contextlib import contextmanager
import numpy as np
import torch
from torch import Tensor, ByteTensor
import torch.nn.functional as F
from torch.autograd import Variable
import pycuda.driver
from pycuda.gl import graphics_map_flags
from glumpy import app, gloo, gl

westerlund

func createGIF(with images: [UIImage], loopCount: Int = 0, frameDelay: Double, callback: (data: NSData?, error: NSError?) -> ()) {
    let fileProperties = [kCGImagePropertyGIFDictionary as String: [kCGImagePropertyGIFLoopCount as String: loopCount]]
    let frameProperties = [kCGImagePropertyGIFDictionary as String: [kCGImagePropertyGIFDelayTime as String: frameDelay]]
    
    let documentsDirectory = NSTemporaryDirectory()
    let url = NSURL(fileURLWithPath: documentsDirectory)?.URLByAppendingPathComponent("animated.gif")
    
    if let url = url {
        let destination = CGImageDestinationCreateWithURL(url, kUTTypeGIF, UInt(images.count), nil)
        CGImageDestinationSetProperties(destination, fileProperties)

SlexAxton

gifify() {
  if [[ -n "$1" ]]; then
    if [[ $2 == '--good' ]]; then
      ffmpeg -i $1 -r 10 -vcodec png out-static-%05d.png
      time convert -verbose +dither -layers Optimize -resize 600x600\> out-static*.png  GIF:- | gifsicle --colors 128 --delay=5 --loop --optimize=3 --multifile - > $1.gif
      rm out-static*.png
    else
      ffmpeg -i $1 -s 600x400 -pix_fmt rgb24 -r 10 -f gif - | gifsicle --optimize=3 --delay=3 > $1.gif
    fi
  else

dominiklessel

//
//  NSImage+OpenCV.h
//

#import <AppKit/AppKit.h>

@interface NSImage (NSImage_OpenCV) {

}