resize images given path

gistfile1.txt

{
 "metadata": {
  "name": "resize_images"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import cv2\nimport os\nfrom pylab import *\n%matplotlib inline",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": "Setup read/write file types, paths, interpolation algorithms, etc"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "src_path, src_image_type = \"/Users/myazdaniUCSD/Desktop/testing/\", \".jpg\"\nout_path, out_image_type = \"/Users/myazdaniUCSD/Desktop/write_path/\", \".bmp\"\n\nsize = (512,512)\ninterpolation_alg = cv2.INTER_CUBIC \n# other interpolation algorithms:\n# INTER_NEAREST\n# INTER_LINEAR \n# INTER_AREA\n# INTER_CUBIC\n# INTER_LANCZOS4",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": "Get all image paths"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "image_paths = []  \nfor root, dirs, files in os.walk(src_path):\n  image_paths.extend([(root, f) for f in files if f.endswith(src_image_type)])",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": "Resize image and save"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "for image_path in image_paths:\n    img = cv2.imread(os.path.join(image_path[0],image_path[1]),cv2.IMREAD_GRAYSCALE)\n    img_resized = cv2.resize(img, size, interpolation = interpolation_alg)\n    direcotry = directory = os.path.join(out_path,image_path[0].split(src_path)[1])\n    if not os.path.exists(directory): os.makedirs(directory)\n    cv2.imwrite(os.path.join(directory, image_path[1].split(\".jpg\")[0]+ out_image_type), img_resized)",
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}