quantombone

#!/bin/sh
# Takes a directory of jpg images and produces an animate.gif
# Requires imagemagick's convert tool (Try apt-get install imagemagick)
#
# Tomasz Malisiewicz (tom@vision.ai)

if [ "$#" -ne 1 ]; then
  echo "Usage: $0 DIRECTORY" >&2
  echo "This will produce animate.gif in the current directory"
  exit 1

quantombone

#!/bin/sh
# Needs VMX with an "eyes" model, jq, and the vmx_detect.sh script
# This will open up the rick astley video when a face is detected from the webcam.
# vision.ai 2015

./Contents/Macos/VMXwebcam 2 :0 > url 2> log&
./Contents/Macos/VMXwebcam 2 :0 > url &
sleep 1
URL=http://`cat url`
echo URL IS $URL

quantombone

// Here is a GO VMX driver which wraps the VMX process with an HTTP handler
// This file is part of VMX
// Author: Tomasz Malisiewicz
// Copyright vision.ai, LLC 2014-2015

package main
import "os/exec"
import "fmt"
import "io/ioutil"
import "log"

quantombone

#include "opencv2/opencv.hpp"
#include <string>

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{

  if (argc !=2 ) {

quantombone

#!/bin/sh 
#
# A simple command line utility to send an image to VMX For this
# example to work, make sure the VMX variable points to the location
# of your server.
#
# Tom Malisiewicz tom@vision.ai
# vision.ai 2015

#The location of the VMX server

quantombone

#!/bin/sh
#Simple script to watch directory, and when something changes copy all of contents of directory A into directory B
#Requires: md5
#Tomasz Malisiewicz

#the directory to watch
SOURCE_DIR=/tmp/input/

#the directory we copy files into
TARGET_DIR=/tmp/output/

quantombone

%Create an empty directory and run this function inside Matlab
%Tomasz Malisiewicz (tomasz@csail.mit.edu

%Clone my repository with Matlab-graphviz wrappers
fprintf(1,'Cloning git repositories\n');
unix(['git clone git@github.com:quantombone/' ...
      'graphviz_matlab_magic.git'])
addpath(genpath(pwd))

%Download a matrix which will be rendered via Graphviz

quantombone

function top = nms(boxes, overlap)
% top = nms_fast(boxes, overlap)
% Non-maximum suppression. (FAST VERSION)
% Greedily select high-scoring detections and skip detections
% that are significantly covered by a previously selected
% detection.
% NOTE: This is adapted from Pedro Felzenszwalb's version (nms.m),
% but an inner loop has been eliminated to significantly speed it
% up in the case of a large number of boxes
% Tomasz Malisiewicz (tomasz@cmu.edu)

quantombone

function count_with_sparse
%Find item co-occurences using sparse
%Tomasz Malisiewicz

item1 = [1 3 1 4 3];
item2 = [2 2 2 1 2];
N = 4;
counts = sparse(item1,item2,1,N,N)

imagesc(full(counts))