gilgeorges

""" FLIRjpg2HDF5

reads raw thermal images from a FLIR-camera JPG image series
and stores them in a HDF5 file - using exiftool """

import glob
import os
import subprocess
import PIL.Image
import numpy as np

BretFisher

sudo: required #is required to use docker service in travis

language: php #can be any language, just php for example

services:
  - docker # required, but travis uses older version of docker :(

install:
  - echo "install nothing!" # put your normal pre-testing installs here

max-mapper

Video stabilization using VidStab and FFMPEG

Examples here use the default settings, see the VidStab readme on GitHub for more advanced instructions.

Here's an example video I made

Install ffmpeg with the vidstab plugin from homebrew

brew install ffmpeg --with-libvidstab

TroyFletcher

" Share clipboards between vim and tmux without xsel or xclip (which require X and
" X forwarding with SSH) and without changing tmux shortcuts. Requires only tail.
" 
" Great for an ssh session to you linode or droplet.
" 
" Uses z buffer in vim and writes output to ~/.clipboard and then to tmux's paste
" buffer, and reads it back in cleanly for putting (puddin').
"
" NOTE: tmux has an undocumented command limit! https://github.com/tmux/tmux/issues/254
"       this means if you mean to copy larger bits of code (entire functions) tmux will

jimkang

When you call addSourceBuffer on a MediaSource, you need to pass in a string that is the MIME type for the codec. If this isn't correct, the video won't play. (You can also pass this to the MediaSource's isTypeSupported function, though there seems to be a gap between what it thinks it can play and what it will play.)

The string looks like this:

video/mp4; codecs="avc1.42E01E, mp4a.40.2"

The values required in that string can be obtained by running the mp4file tool from mp4v2 on a video file, like so:

 mp4file --dump movie.mp4

sboisson

#!/bin/bash
# Create an Iframe index from HLS segmented streams
# $1: Filename to be created
# $2: Location of segmented ts files

# Check how many arguments
if [ $# != 2 ]; then
    echo "Usage: $0 [Input filename] [Location of segmented streams]"
    exit 1;
fi

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

karpathy

"""
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)

jbwhit

import os
from subprocess import check_call

def post_save(model, os_path, contents_manager):
    """post-save hook for converting notebooks to .py and .html files."""
    if model['type'] != 'notebook':
        return # only do this for notebooks
    d, fname = os.path.split(os_path)
    check_call(['jupyter', 'nbconvert', '--to', 'script', fname], cwd=d)
    check_call(['jupyter', 'nbconvert', '--to', 'html', fname], cwd=d)

beaugunderson

from streams session

• end-of-stream - specify a callback to be called when a stream ends (which is surpsingly hard to get right)
• duplexify - compose a Duplex stream from a Readable and a Writable stream
• pump - pipe streams together and close all of them if one of them closes
• pumpify - combine an array of streams into a single duplex stream using pump and duplexify
• through2 - tools for making Transform streams
• from2 - tools for making Readable streams

from "participatory modules" session