display opencv image using matplotlib in ipython notebook

display-cv-image-using-matplot.ipynb

{
 "metadata": {
  "name": "test"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import cv2\nimport numpy as np\nimport matplotlib.pyplot as plt\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "img = cv2.imread('/Users/ayang/Pictures/ForTest/test.jpg')\nimg = cv2.cvtColor(img, cv2.cv.CV_BGR2RGB)",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "plt.imshow(img)",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": "<matplotlib.image.AxesImage at 0x112634150>"
      }
     ],
     "prompt_number": 3
    }
   ],
   "metadata": {}
  }
 ]
}

add this magic command to show matplotlib automatically
%matplotlib inline

That's great magic ^ I was confused for a moment

add "plt.show()"

I think cv2.cv.CV_BGR2RGB is replaced with cv2.COLOR_BGR2RGB now. Great gist, really helpful!

image show in jupyter notebook very small. how i can show it bigger?

@Killer1504 use the following

plt.rcParams['figure.figsize'] = [20, 10]
plt.imshow(img)
plt.show()