{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Images\n", "====" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "An ``Images`` object is a collection of either 2D images or 3D volumes. Under the hood, it wraps an n-dimensional array, and supports either distributed operations via Spark or local operations via `numpy`, with an identical API. It supports several simple manipulations of image content, exporting image data, and conversion to other formats. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This example can be run locally and does not require Spark." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup imports" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "sns.set_style('darkgrid')\n", "sns.set_context('notebook')\n", "from showit import image, tile" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import thunder as td" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading images" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`images` data can be loaded using the `td.images.from*` methods, which support loading from a few different formats. Here we'll load example data." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "data = td.images.fromexample('fish')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can inspect the object to see basic properties like `shape`, `dtype`, and whether it's in `'local'` or `'spark'` mode." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "Images\n", "mode: local\n", "dtype: uint8\n", "shape: (20, 2, 76, 87)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These are 20 3d volumes, each one with shape `(2, 76, 87)`. Let's look at the first volume" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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FeMxSq9NUyz66e41/5zgoXZE63zUSyZZIDM4Lzbxsb2EmjaTx7Bkx0jGTC1J0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\nDEnyBp8xz5r+fM2Yz/4/+qy9iYiIiPx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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "tile(data[0]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that, although `data` is not itself an array, we can index into it using bracket notation, and pass it as input to plotting methods that expect arrays, because it will be automatically converted." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For an example of 2D data, we can load another one of the examples" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "data = td.images.fromexample('mouse')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Look at the first image" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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S7rh2d53tpvjoOFVqjdJglLKjRCA96+5uy5TKq54PJT+7uyd3E200\nRt1EY3Vu+h1KndJzoONTnRJtW3kPpLuTNJ13kYRnN1nY5TcnSdI4Lk6SpHFcnCRJ47g4SZLGcXGS\nJI3zXNJ63aSWJOn/N785SZLGcXGSJI3j4iRJGsfFSZI0jouTJGkcFydJ0jguTpKkcVycJEnjuDhJ\nksZxcZIkjePiJEkax8VJkjSOi5MkaRwXJ0nSOC5OkqRxXJwkSeO4OEmSxnFxkiSN4+IkSRrHxUmS\nNI6LkyRpHBcnSdI4/wMObhdEThJ5ZQAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "image(data[0]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Image manipulations\n", "\n", "An ``Images`` object has a variety of methods for manipulation, all of which are automatically parallelized across images if running on a cluster." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One common manipulation on volumetric data is computing a maximum projection across the z dimension." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "data = td.images.fromexample('fish')" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "projections = data.max_projection(axis=0)\n", "image(projections[0]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also subselect a set of planes, specifying the top and bottom of the desired range:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "subset = data[0, 0, :, :]\n", "image(subset);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we can subsample in space:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAacAAAF5CAYAAAA72+XHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nxBEnAOKIEwBxxAmAOOIEQJz/AMAcIVvnctPDAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "subsampled = data.subsample([1,5,5])[0, 0, :, :]\n", "image(subsampled);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we can perform operations that aggregate across images. For example, computing the standard deviation:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "statistic = data.std()[0, 0, :, :]\n", "image(statistic);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The result of image operations can be saved by exporting each image to a `png` or `tif` file." ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "```\n", "data.max_projection(axis=0).topng('directory')\n", "data.max_projection(axis=0).totif('directory')\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conversions\n", "\n", "We commonly encounter images or volumes that vary over time, e.g. from a movie. It can be useful to convert these data into a `Series` object: another wrapper for n-dimensional arrays designed to work with collections of one-dimensional indexed records, often time series." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we load our `image` data and convert to `series`" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [], "source": [ "data = td.images.fromexample('fish')\n", "ts = data.toseries()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's check properties of the `Series` to make sure the conversion makes sense. We have twenty images, so there should be twenty time points." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,\n", " 17, 18, 19])" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts.index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The shape should be the original pixel dimensions `(2, 76, 87)` and the time dimension `(20)`" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(2, 76, 87, 20)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This conversion from `images` to `series` is essentially a transpose, but in the distributed setting it uses an efficient blocked representation." ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "If we want to collapse the pixel dimensions, we can use `flatten`" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(13224, 20)" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ts.flatten().shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can also quickly look at some example time series, after filtering on standard deviation and normalizing." ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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gS6PjLrMGl60cV8XdEwuxKIqC3xs9GuA++nsCEz8kJAlyC2wUHm2JuwtsqNXn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\n/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Kf5253/RkHOYY7VkfcNImDGZruM25o6WOJ/c29mpv9ucsl+QOLl6V7+2huwe8/eu2EY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\nTA0EcK7fgH/fLdibmvn2k90cPj3F7TvqeOC21jf4aRU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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "samples = ts.flatten().filter(lambda x: x.std() > 6).normalize().sample(n=50).toarray()\n", "plt.plot(samples.T);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For a large data set that will be analyzed repeatedly as `series`, it might be faster and more convienient to save `images` data to a collection of flat binary files on a distributed file system, which can in turn be read back in directly as `series` data. This can be performed as follows:" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "```\n", "data = td.images.fromexample('fish')\n", "data.toseries().tobinary('directory', overwrite=True)\n", "ts = td.series.frombinary('directory')\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are more methods on `images` data, and algorithm packages that take `images` data as input. See the other tutorials and documentation for more!" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.11" } }, "nbformat": 4, "nbformat_minor": 0 }