EthanRosenthal

EthanRosenthal

EthanRosenthal

EthanRosenthal

EthanRosenthal

EthanRosenthal

EthanRosenthal

from time import time

import pandas as pd

import torch
from torch import nn
from torch.nn import functional as F
from torch.autograd import Variable

EthanRosenthal

import numpy as np

"""Stacking as we loop"""

%%timeit -n 10
res = None
for i in range(100):
    batch = np.random.random((100, 100))
    if res is None:
        res = batch

EthanRosenthal

# Run like

# gifify image_names_* awesome_movie.gif

# where you glob the list of images as the first argument
# then the last argument is the name of the output gif

alias gifify='python -c "import imageio;import sys;ims=[]; *in_, out=sys.argv[1:];[ims.append(imageio.imread(i)) for i in sorted(in_)];imageio.mimsave(out,ims)"'

EthanRosenthal