This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.
To capture the video (filesize: 19MB), using the free "QuickTime Player" application:
#!/bin/bash | |
# Script for installing tmux on systems where you don't have root access. | |
# tmux will be installed in $HOME/local/bin. | |
# It's assumed that wget and a C/C++ compiler are installed. | |
# exit on error | |
set -e | |
TMUX_VERSION=1.8 |
# Run this in the project repo from the command-line | |
# http://stackoverflow.com/a/4593065/99923 | |
git log --shortstat --author "Xeoncross" --since "2 weeks ago" --until "1 week ago" | grep "files changed" | awk '{files+=$1; inserted+=$4; deleted+=$6} END {print "files changed", files, "lines inserted:", inserted, "lines deleted:", deleted}' |
Attention: the list was moved to
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-- Two dashes start a one-line comment. | |
--[[ | |
Adding two ['s and ]'s makes it a | |
multi-line comment. | |
--]] | |
---------------------------------------------------- | |
-- 1. Variables and flow control. | |
---------------------------------------------------- |
""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
from graphviz import Digraph | |
import torch | |
from torch.autograd import Variable, Function | |
def iter_graph(root, callback): | |
queue = [root] | |
seen = set() | |
while queue: | |
fn = queue.pop() | |
if fn in seen: |
This notes is written by Sheldon. You can find me with #iOSBySheldon in Github, Youtube, Facebook, etc.
Convert .mov/.MP4 to .gif
As a developer, I feel better to upload a short video when I create the pull request to show other viewers what I did in this PR. I tried .mov format directly got after finishing recording screen using Quicktime, however, gif offers preview in most web pages, and has smaller file size.
This is not limited to developer, anyone has this need can use this method to convert the files.
Apparently Linux power management can be fairly aggressive and CPU downclocking can have serious effect on PyTorch jobs (even those running on CUDA).
To check the current mode of CPU 0 run the snippet below. On my machine it shows that all cores are in powersave
mode.
for CPUFREQ in /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor; do
[ -f $CPUFREQ ] || continue;
echo $CPUFREQ $(cat $CPUFREQ)
done
import re | |
import os | |
import glob | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
from collections import OrderedDict | |
fig_size = [12, 9] |