gcr

#include "stdio.h" // includes definiton of printf
#include "stdlib.h" // includes definiton of malloc

void copy_string(char *dest, char *src) {
    // Copy bytes from src into dest
    while ((*(dest++) = *(src++))) {};
}


int main(){

gcr

import random
def plot_correspondence(points1, points2, fraction_of_lines):
    fig,(ax1,ax2) = subplots(1,2,sharex=True,sharey=True,figsize=(10,8)) 
    # Set plot boundaries
    ax1.set_ylim(31,43)
    ax1.set_xlim(-126,-112)
    # Draw first points
    ax1.scatter(points1[:,0],points1[:,1],s=0.5,color='b') 
    # Draw second points
    ax2.scatter(points2[:,0],points2[:,1],s=0.5,color='r') 

gcr

np.select(np.array([[1, 1, 0, 0],
                    [0, 0, 1, 1]]),
          np.array([[1, 2, 3, 4],
                    [5, 6, 7, 8]]))

Truncated Traceback (Use C-c C-x to view full TB):
/usr/lib/python2.7/site-packages/numpy/core/fromnumeric.pyc in choose(a, choices, out, mode)
    296     except AttributeError:
    297         return _wrapit(a, 'choose', choices, out=out, mode=mode)
--> 298     return choose(choices, out=out, mode=mode)

gcr

{
 "metadata": {
  "name": "How many CONSISTENT triplets are there?"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

gcr

{ "metadata": { "name": "Untitled4" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "from skimage.io import Image\n", "\n", "picture = np.zeros((512,512))\n", "for y in xrange(512):\n", " for x in xrange(512):\n", " picture[y, x] += 2*np.clip(np.exp(- np.sqrt(((150.-x)**2+((150.-y)/4)**2)/50.)),\n", " 0, 0.5)\n", " picture[y, x] += 2*np.clip(np.exp(- np.sqrt(((350.-x)**2+((150.-y)/4)**2)/50.)),\n", " 0, 0.5) \n", " if 96<np.sqrt((y-270)**2+(x-256)**2)<160 and y>290:\n", " picture[y, x] += 0.4+0.4*np.cos(np.sqrt((y-270)**2+(x-256)**2)*0.1)\n", "Image(picture)" ], "language": "python", "outputs": [ { "jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a\nHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/wAALCAIAAgABAREA/8QAHwAAAQUBAQEB\nAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1Fh\nByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZ\nWmNkZWZnaGlqc3R1dnd4eXq

gcr

{
 "metadata": {
  "name": "RANSAC similarity transform"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

gcr

http://www.cs.cornell.edu/phd/requirements

Cornell requires these courses:

* Competency requirement
- [ ] Artificial Intelligence: CS 4700
- [ ] Programming Languages: One of
      CS 4110 (PL)
      CS 4120 (Compilers)

gcr

gcr

gcr

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy

setup(name='libmr',
      ext_modules = [Extension('libmr', ['libmr.pyx',
                                         #"../libMR/MetaRecognition.cpp",
                                         #"../libMR/weibull.c"
                                         ],