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@connorgreenwell
Created January 16, 2017 15:57
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Assignment 0\n",
"\n",
"Write a script that:\n",
"\n",
"- loads two images\n",
"- converts both images to floating point\n",
"- resizes them to a common size\n",
"- and average them (pixel-by-pixel... this can be written as a one-liner... you don't need any loops). \n",
"- Then display all three at the same time and see the output makes sense (use the subplot command, which is available in Matlab and Matplotlib, to put them all in the same window)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from scipy import misc\n",
"\n",
"%matplotlib inline\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# loads two images\n",
"python_logo_ = misc.imread(\"python-logo.png\", mode=\"RGB\")\n",
"tensorflow_logo_ = misc.imread(\"TensorFlow-thumb.jpg\", mode=\"RGB\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# resizes them to a common size\n",
"python_logo = misc.imresize(python_logo_, (240, 240))\n",
"tensorflow_logo = misc.imresize(tensorflow_logo_, (240, 240))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# converts both images to floating point (and rescale to [0., 1.] range)\n",
"python_logo = python_logo.astype(\"float32\") / 255.\n",
"tensorflow_logo = tensorflow_logo.astype(\"float32\") / 255."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# average them\n",
"average_logo = (python_logo + tensorflow_logo) / 2."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.image.AxesImage at 0x7f3ec5fea668>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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VrP33pBvdnVbL4xn2KSBGuGLr6BmOswgJSAhpqaC9KWRpP9p6HjHLyDjMp6MYMV5xFiWN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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f3ec84b8dd8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# display all three at the same time and see the output makes sense\n",
"_, subs = plt.subplots(1,3)\n",
"subs[0].imshow(python_logo)\n",
"subs[1].imshow(average_logo)\n",
"subs[2].imshow(tensorflow_logo)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda env:cs636]",
"language": "python",
"name": "conda-env-cs636-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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