pyssim-0.2/0000755001033700007640000000000012726304026012411 5ustar gilleswikidevpyssim-0.2/ssim/0000755001033700007640000000000012723342447013372 5ustar gilleswikidevpyssim-0.2/ssim/__init__.py0000644001033700007640000000126712723342447015511 0ustar gilleswikidev"""Module for computing the Structural Similarity Image Metric (SSIM).""" from __future__ import absolute_import from ssim.ssimlib import SSIM from ssim.ssimlib import SSIMImage from ssim.ssimlib import get_gaussian_kernel from ssim.compat import Image def compute_ssim(image1, image2, gaussian_kernel_sigma=1.5, gaussian_kernel_width=11): """Computes SSIM. Args: im1: First PIL Image object to compare. im2: Second PIL Image object to compare. Returns: SSIM float value. """ gaussian_kernel_1d = get_gaussian_kernel( gaussian_kernel_width, gaussian_kernel_sigma) return SSIM(image1, gaussian_kernel_1d).ssim_value(image2) pyssim-0.2/ssim/utils.py0000644001033700007640000000263012723342447015105 0ustar gilleswikidev"""Common utility functions.""" from __future__ import absolute_import import numpy from numpy.ma.core import exp import scipy.ndimage from ssim.compat import ImageOps def convolve_gaussian_2d(image, gaussian_kernel_1d): """Convolve 2d gaussian.""" result = scipy.ndimage.filters.correlate1d( image, gaussian_kernel_1d, axis=0) result = scipy.ndimage.filters.correlate1d( result, gaussian_kernel_1d, axis=1) return result def get_gaussian_kernel(gaussian_kernel_width=11, gaussian_kernel_sigma=1.5): """Generate a gaussian kernel.""" # 1D Gaussian kernel definition gaussian_kernel_1d = numpy.ndarray((gaussian_kernel_width)) norm_mu = int(gaussian_kernel_width / 2) # Fill Gaussian kernel for i in range(gaussian_kernel_width): gaussian_kernel_1d[i] = (exp(-(((i - norm_mu) ** 2)) / (2 * (gaussian_kernel_sigma ** 2)))) return gaussian_kernel_1d / numpy.sum(gaussian_kernel_1d) def to_grayscale(img): """Convert PIL image to numpy grayscale array and numpy alpha array. Args: img (PIL.Image): PIL Image object. Returns: (gray, alpha): both numpy arrays. """ gray = numpy.asarray(ImageOps.grayscale(img)).astype(numpy.float) imbands = img.getbands() alpha = None if 'A' in imbands: alpha = numpy.asarray(img.split()[-1]).astype(numpy.float) return gray, alpha pyssim-0.2/ssim/ssimlib.py0000644001033700007640000002171612723342447015415 0ustar gilleswikidev"""Contains SSIM library functions and classes.""" from __future__ import absolute_import import argparse import glob import sys import numpy as np from scipy import signal from ssim import compat from ssim.compat import Image, ImageOps from ssim.utils import convolve_gaussian_2d from ssim.utils import get_gaussian_kernel from ssim.utils import to_grayscale class SSIMImage(object): """Wraps a PIL Image object with SSIM state. Attributes: img: Original PIL Image. img_gray: grayscale Image. img_gray_squared: squared img_gray. img_gray_mu: img_gray convolved with gaussian kernel. img_gray_mu_squared: squared img_gray_mu. img_gray_sigma_squared: img_gray convolved with gaussian kernel - img_gray_mu_squared. """ def __init__(self, img, gaussian_kernel_1d=None, size=None): """Create an SSIMImage. Args: img (str or PIL.Image): PIL Image object or file name. gaussian_kernel_1d (np.ndarray, optional): Gaussian kernel that was generated with utils.get_gaussian_kernel is used to precompute common objects for SSIM computation size (tuple, optional): New image size to resize image to. """ # Use existing or create a new PIL.Image self.img = img if not isinstance(img, compat.basestring) \ else compat.Image.open(img) # Resize image if size is defined and different # from original image if size and size != self.img.size: self.img = self.img.resize(size, Image.ANTIALIAS) # Set the size of the image self.size = self.img.size # If gaussian kernel is defined we create # common SSIM objects if gaussian_kernel_1d is not None: self.gaussian_kernel_1d = gaussian_kernel_1d # np.array of grayscale and alpha image self.img_gray, self.img_alpha = to_grayscale(self.img) if self.img_alpha is not None: self.img_gray[self.img_alpha == 255] = 0 # Squared grayscale self.img_gray_squared = self.img_gray ** 2 # Convolve grayscale image with gaussian self.img_gray_mu = convolve_gaussian_2d( self.img_gray, self.gaussian_kernel_1d) # Squared mu self.img_gray_mu_squared = self.img_gray_mu ** 2 # Convolve squared grayscale with gaussian self.img_gray_sigma_squared = convolve_gaussian_2d( self.img_gray_squared, self.gaussian_kernel_1d) # Substract squared mu self.img_gray_sigma_squared -= self.img_gray_mu_squared # If we don't define gaussian kernel, we create # common CW-SSIM objects else: # Grayscale PIL.Image self.img_gray = ImageOps.grayscale(self.img) class SSIM(object): """Computes SSIM between two images.""" def __init__(self, img, gaussian_kernel_1d=None, size=None, l=255, k_1=0.01, k_2=0.03, k=0.01): """Create an SSIM object. Args: img (str or PIL.Image): Reference image to compare other images to. l, k_1, k_2 (float): SSIM configuration variables. k (float): CW-SSIM configuration variable (default 0.01) gaussian_kernel_1d (np.ndarray, optional): Gaussian kernel that was generated with utils.get_gaussian_kernel is used to precompute common objects for SSIM computation size (tuple, optional): resize the image to the tuple size """ self.k = k # Set k1,k2 & c1,c2 to depend on L (width of color map). self.c_1 = (k_1 * l) ** 2 self.c_2 = (k_2 * l) ** 2 self.gaussian_kernel_1d = gaussian_kernel_1d self.img = SSIMImage(img, gaussian_kernel_1d, size) def ssim_value(self, target): """Compute the SSIM value from the reference image to the target image. Args: target (str or PIL.Image): Input image to compare the reference image to. This may be a PIL Image object or, to save time, an SSIMImage object (e.g. the img member of another SSIM object). Returns: Computed SSIM float value. """ # Performance boost if handed a compatible SSIMImage object. if not isinstance(target, SSIMImage) \ or not np.array_equal(self.gaussian_kernel_1d, target.gaussian_kernel_1d): target = SSIMImage(target, self.gaussian_kernel_1d, self.img.size) img_mat_12 = self.img.img_gray * target.img_gray img_mat_sigma_12 = convolve_gaussian_2d( img_mat_12, self.gaussian_kernel_1d) img_mat_mu_12 = self.img.img_gray_mu * target.img_gray_mu img_mat_sigma_12 = img_mat_sigma_12 - img_mat_mu_12 # Numerator of SSIM num_ssim = ((2 * img_mat_mu_12 + self.c_1) * (2 * img_mat_sigma_12 + self.c_2)) # Denominator of SSIM den_ssim = ( (self.img.img_gray_mu_squared + target.img_gray_mu_squared + self.c_1) * (self.img.img_gray_sigma_squared + target.img_gray_sigma_squared + self.c_2)) ssim_map = num_ssim / den_ssim index = np.average(ssim_map) return index def cw_ssim_value(self, target, width=30): """Compute the complex wavelet SSIM (CW-SSIM) value from the reference image to the target image. Args: target (str or PIL.Image): Input image to compare the reference image to. This may be a PIL Image object or, to save time, an SSIMImage object (e.g. the img member of another SSIM object). width: width for the wavelet convolution (default: 30) Returns: Computed CW-SSIM float value. """ if not isinstance(target, SSIMImage): target = SSIMImage(target, size=self.img.size) # Define a width for the wavelet convolution widths = np.arange(1, width+1) # Use the image data as arrays sig1 = np.asarray(self.img.img_gray.getdata()) sig2 = np.asarray(target.img_gray.getdata()) # Convolution cwtmatr1 = signal.cwt(sig1, signal.ricker, widths) cwtmatr2 = signal.cwt(sig2, signal.ricker, widths) # Compute the first term c1c2 = np.multiply(abs(cwtmatr1), abs(cwtmatr2)) c1_2 = np.square(abs(cwtmatr1)) c2_2 = np.square(abs(cwtmatr2)) num_ssim_1 = 2 * np.sum(c1c2, axis=0) + self.k den_ssim_1 = np.sum(c1_2, axis=0) + np.sum(c2_2, axis=0) + self.k # Compute the second term c1c2_conj = np.multiply(cwtmatr1, np.conjugate(cwtmatr2)) num_ssim_2 = 2 * np.abs(np.sum(c1c2_conj, axis=0)) + self.k den_ssim_2 = 2 * np.sum(np.abs(c1c2_conj), axis=0) + self.k # Construct the result ssim_map = (num_ssim_1 / den_ssim_1) * (num_ssim_2 / den_ssim_2) # Average the per pixel results index = np.average(ssim_map) return index def main(): """Main function for pyssim.""" description = '\n'.join([ 'Compares an image with a list of images using the SSIM metric.', ' Example:', ' pyssim test-images/test1-1.png "test-images/*"' ]) parser = argparse.ArgumentParser( prog='pyssim', formatter_class=argparse.RawTextHelpFormatter, description=description) parser.add_argument('--cw', help='compute the complex wavelet SSIM', action='store_true') parser.add_argument( 'base_image', metavar='image1.png', type=argparse.FileType('r')) parser.add_argument( 'comparison_images', metavar='image path with* or image2.png') parser.add_argument('--width', type=int, default=None, help='scales the image before computing SSIM') parser.add_argument('--height', type=int, default=None, help='scales the image before computing SSIM') args = parser.parse_args() if args.width and args.height: size = (args.width, args.height) else: size = None if not args.cw: gaussian_kernel_sigma = 1.5 gaussian_kernel_width = 11 gaussian_kernel_1d = get_gaussian_kernel( gaussian_kernel_width, gaussian_kernel_sigma) comparison_images = glob.glob(args.comparison_images) is_a_single_image = len(comparison_images) == 1 for comparison_image in comparison_images: if args.cw: ssim = SSIM(args.base_image.name, size=size) ssim_value = ssim.cw_ssim_value(comparison_image) else: ssim = SSIM(args.base_image.name, gaussian_kernel_1d, size=size) ssim_value = ssim.ssim_value(comparison_image) if is_a_single_image: sys.stdout.write('%.7g' % ssim_value) else: sys.stdout.write('%s - %s: %.7g' % ( args.base_image.name, comparison_image, ssim_value)) sys.stdout.write('\n') if __name__ == '__main__': main() pyssim-0.2/ssim/compat.py0000644001033700007640000000075412723342447015235 0ustar gilleswikidev"""Compatibility routines.""" from __future__ import absolute_import import sys # pylint: disable=import-error # pylint: disable=invalid-name # pylint: disable=redefined-builtin # pylint: disable=redefined-variable-type # pylint: disable=unused-import try: import Image except ImportError: from PIL import Image try: import ImageOps except ImportError: from PIL import ImageOps if sys.version_info[0] > 2: basestring = (str, bytes) else: basestring = basestring pyssim-0.2/ssim/__main__.py0000644001033700007640000000021412723342447015461 0ustar gilleswikidev"""Main module for pyssim.""" from __future__ import absolute_import from ssim.ssimlib import main if __name__ == '__main__': main() pyssim-0.2/AUTHORS.md0000644001033700007640000000050212723342447014063 0ustar gilleswikidev# Authors * Antoine Vacavant, ISIT lab, antoine.vacavant@iut.u-clermont1.fr, http://isit.u-clermont1.fr/~anvacava * Christopher Godfrey * Jeff Terrace, jterrace@gmail.com * Wieland Morgenstern * Gabriele Lami, koteth@gmail.com * Martin McGreal, CTY, martin@cty.io, http://cty.io * Christoph Koerner, office@chaosmail.at pyssim-0.2/README.md0000644001033700007640000000450112723342447013676 0ustar gilleswikidev# pyssim This module implements the Structural Similarity Image Metric (SSIM). Original code written by Antoine Vacavant from http://isit.u-clermont1.fr/~anvacava/code.html, with modifications by Christopher Godfrey and Jeff Terrace. [![Build Status](https://secure.travis-ci.org/jterrace/pyssim.png)](http://travis-ci.org/#!/jterrace/pyssim) ## Installation pip install pyssim ## Running $ pyssim --help usage: pyssim [-h] image1.png image path with* or image2.png Compares an image with a list of images using the SSIM metric. Example: pyssim test-images/test1-1.png "test-images/*" positional arguments: image1.png image path with* or image2.png optional arguments: -h, --help show this help message and exit --cw compute the complex wavelet SSIM --width WIDTH scales the image before computing SSIM --height HEIGHT scales the image before computing SSIM ## Compatibility pyssim is known to work with Python 2.7 and 3.2 and we test these versions on Travis CI to make sure they keep working. 2.6 and 3.3 will probably work, but we omit them from testing due to complications with setting them up on Travis CI. ## Development To run from a local git client: PYTHONPATH="." python ssim To run the lint checks: pylint --rcfile=.pylintrc -r n ssim setup.py To test: $ PYTHONPATH="." python ssim test-images/test1-1.png "test-images/*" test-images/test1-1.png - test-images/test1-1.png: 1 test-images/test1-1.png - test-images/test1-2.png: 0.9980119 test-images/test1-1.png - test-images/test2-1.png: 0.6726952 test-images/test1-1.png - test-images/test2-2.png: 0.6485879 ## References * [1] Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4):600--612, 2004. * [2] Z. Wang and A. C. Bovik. Mean squared error: Love it or leave it? - A new look at signal fidelity measures. IEEE Signal Processing Magazine, 26(1):98--117, 2009. * [3] Z. Wang and E.P. Simoncelli. Translation Insensitive Image Similarity in Complex Wavelet Domain. Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on , vol.2, no., pp.573,576, March 18-23, 2005pyssim-0.2/LICENSE.md0000644001033700007640000000225112723342447014023 0ustar gilleswikidevThe MIT License (MIT) ===================== Copyright © `2011` `Antoine Vacavant` Copyright © `2012` `Christopher Godfrey` Copyright © `2012` `Jeff Terrace` Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. pyssim-0.2/requirements.txt0000644001033700007640000000003412723342447015700 0ustar gilleswikidevpillow numpy scipy argparse pyssim-0.2/.travis.yml0000644001033700007640000000232712723342447014534 0ustar gilleswikidevlanguage: python python: - 2.7 - 3.4 - 3.5 before_install: - sudo apt-get update - if [[ "$TRAVIS_PYTHON_VERSION" == "2.7" ]]; then wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O miniconda.sh; else wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh; fi - bash miniconda.sh -b -p $HOME/miniconda - export PATH="$HOME/miniconda/bin:$PATH" - hash -r - conda config --set always_yes yes --set changeps1 no - conda update -q conda - conda info -a install: - conda create --yes -q -n pyenv python=$TRAVIS_PYTHON_VERSION pillow numpy scipy nose pylint pip - source activate pyenv - pip install -e . script: - pyssim test-images/test1-1.png test-images/test1-1.png | grep 1 - pyssim test-images/test1-1.png test-images/test1-2.png | grep 0.998 - pyssim test-images/test1-1.png "test-images/*" | grep -E " 1| 0.998| 0.672| 0.648" | wc -l | grep 4 - pyssim --cw --width 128 --height 128 test-images/test1-1.png test-images/test1-1.png | grep 1 - pyssim --cw --width 128 --height 128 test-images/test3-orig.jpg test-images/test3-rot.jpg | grep 0.938 - pylint --rcfile=.pylintrc setup.py - pylint --rcfile=.pylintrc ssim pyssim-0.2/.pylintrc0000644001033700007640000001752412723342447014275 0ustar gilleswikidev[MASTER] # Specify a configuration file. #rcfile= # Python code to execute, usually for sys.path manipulation such as # pygtk.require(). #init-hook= # Add files or directories to the blacklist. They should be base names, not # paths. ignore=CVS # Pickle collected data for later comparisons. persistent=yes # List of plugins (as comma separated values of python modules names) to load, # usually to register additional checkers. load-plugins= [MESSAGES CONTROL] # Enable the message, report, category or checker with the given id(s). You can # either give multiple identifier separated by comma (,) or put this option # multiple time. See also the "--disable" option for examples. #enable= # Disable the message, report, category or checker with the given id(s). You # can either give multiple identifiers separated by comma (,) or put this # option multiple times (only on the command line, not in the configuration # file where it should appear only once).You can also use "--disable=all" to # disable everything first and then reenable specific checks. For example, if # you want to run only the similarities checker, you can use "--disable=all # --enable=similarities". If you want to run only the classes checker, but have # no Warning level messages displayed, use"--disable=all --enable=classes # --disable=W" disable=locally-disabled,too-few-public-methods,too-many-arguments,too-many-locals,too-many-instance-attributes,maybe-no-member,no-member [REPORTS] # Set the output format. Available formats are text, parseable, colorized, msvs # (visual studio) and html. You can also give a reporter class, eg # mypackage.mymodule.MyReporterClass. output-format=text # Put messages in a separate file for each module / package specified on the # command line instead of printing them on stdout. Reports (if any) will be # written in a file name "pylint_global.[txt|html]". files-output=no # Tells whether to display a full report or only the messages reports=yes # Python expression which should return a note less than 10 (10 is the highest # note). You have access to the variables errors warning, statement which # respectively contain the number of errors / warnings messages and the total # number of statements analyzed. This is used by the global evaluation report # (RP0004). evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10) # Template used to display messages. This is a python new-style format string # used to format the message information. See doc for all details #msg-template= [BASIC] # List of builtins function names that should not be used, separated by a comma bad-functions=map,filter,apply,input # Regular expression which should only match correct module names module-rgx=(([a-z_][a-z0-9_]*)|([A-Z][a-zA-Z0-9]+))$ # Regular expression which should only match correct module level names const-rgx=(([A-Z_][A-Z0-9_]*)|(__.*__))$ # Regular expression which should only match correct class names class-rgx=[A-Z_][a-zA-Z0-9]+$ # Regular expression which should only match correct function names function-rgx=[a-z_][a-z0-9_]{2,30}$ # Regular expression which should only match correct method names method-rgx=[a-z_][a-z0-9_]{2,30}$ # Regular expression which should only match correct instance attribute names attr-rgx=[a-z_][a-z0-9_]{2,30}$ # Regular expression which should only match correct argument names argument-rgx=[a-z_][a-z0-9_]{2,30}$ # Regular expression which should only match correct variable names variable-rgx=[a-z_][a-z0-9_]{2,30}$ # Regular expression which should only match correct attribute names in class # bodies class-attribute-rgx=([A-Za-z_][A-Za-z0-9_]{2,30}|(__.*__))$ # Regular expression which should only match correct list comprehension / # generator expression variable names inlinevar-rgx=[A-Za-z_][A-Za-z0-9_]*$ # Good variable names which should always be accepted, separated by a comma good-names=i,j,k,ex,Run,_ # Bad variable names which should always be refused, separated by a comma bad-names=foo,bar,baz,toto,tutu,tata # Regular expression which should only match function or class names that do # not require a docstring. no-docstring-rgx=__.*__ # Minimum line length for functions/classes that require docstrings, shorter # ones are exempt. docstring-min-length=-1 [FORMAT] # Maximum number of characters on a single line. max-line-length=80 # Regexp for a line that is allowed to be longer than the limit. ignore-long-lines=^\s*(# )??$ # Allow the body of an if to be on the same line as the test if there is no # else. single-line-if-stmt=no # List of optional constructs for which whitespace checking is disabled no-space-check=trailing-comma,dict-separator # Maximum number of lines in a module max-module-lines=1000 # String used as indentation unit. This is usually " " (4 spaces) or "\t" (1 # tab). indent-string=' ' [MISCELLANEOUS] # List of note tags to take in consideration, separated by a comma. notes=FIXME,XXX,TODO [SIMILARITIES] # Minimum lines number of a similarity. min-similarity-lines=4 # Ignore comments when computing similarities. ignore-comments=yes # Ignore docstrings when computing similarities. ignore-docstrings=yes # Ignore imports when computing similarities. ignore-imports=no [TYPECHECK] # Tells whether missing members accessed in mixin class should be ignored. A # mixin class is detected if its name ends with "mixin" (case insensitive). ignore-mixin-members=yes # List of classes names for which member attributes should not be checked # (useful for classes with attributes dynamically set). ignored-classes=SQLObject # List of members which are set dynamically and missed by pylint inference # system, and so shouldn't trigger E0201 when accessed. Python regular # expressions are accepted. generated-members=REQUEST,acl_users,aq_parent [VARIABLES] # Tells whether we should check for unused import in __init__ files. init-import=no # A regular expression matching the beginning of the name of dummy variables # (i.e. not used). dummy-variables-rgx=_$|dummy # List of additional names supposed to be defined in builtins. Remember that # you should avoid to define new builtins when possible. additional-builtins= [CLASSES] # List of method names used to declare (i.e. assign) instance attributes. defining-attr-methods=__init__,__new__,setUp # List of valid names for the first argument in a class method. valid-classmethod-first-arg=cls # List of valid names for the first argument in a metaclass class method. valid-metaclass-classmethod-first-arg=mcs [DESIGN] # Maximum number of arguments for function / method max-args=5 # Argument names that match this expression will be ignored. Default to name # with leading underscore ignored-argument-names=_.* # Maximum number of locals for function / method body max-locals=15 # Maximum number of return / yield for function / method body max-returns=6 # Maximum number of branch for function / method body max-branches=12 # Maximum number of statements in function / method body max-statements=50 # Maximum number of parents for a class (see R0901). max-parents=7 # Maximum number of attributes for a class (see R0902). max-attributes=7 # Minimum number of public methods for a class (see R0903). min-public-methods=2 # Maximum number of public methods for a class (see R0904). max-public-methods=20 [IMPORTS] # Deprecated modules which should not be used, separated by a comma deprecated-modules=regsub,TERMIOS,Bastion,rexec # Create a graph of every (i.e. internal and external) dependencies in the # given file (report RP0402 must not be disabled) import-graph= # Create a graph of external dependencies in the given file (report RP0402 must # not be disabled) ext-import-graph= # Create a graph of internal dependencies in the given file (report RP0402 must # not be disabled) int-import-graph= [EXCEPTIONS] # Exceptions that will emit a warning when being caught. Defaults to # "Exception" overgeneral-exceptions=Exception pyssim-0.2/SSIM_CW-SSIM_comparison.ipynb0000644001033700007640000124214512723342447017642 0ustar gilleswikidev{ "cells": [ { "cell_type": "code", "execution_count": 22, "metadata": { "collapsed": false }, "outputs": [], "source": [ "%matplotlib inline\n", "import numpy as np\n", "\n", "import matplotlib.pyplot as plt\n", "from PIL import Image, ImageOps\n", "\n", "from ssim import SSIM\n", "from ssim.utils import get_gaussian_kernel\n", "\n", "gaussian_kernel_sigma = 1.5\n", "gaussian_kernel_width = 11\n", "gaussian_kernel_1d = get_gaussian_kernel(gaussian_kernel_width, gaussian_kernel_sigma)\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false }, "outputs": [], "source": [ "size = (256,256)\n", "\n", "im = Image.open('test-images/test3-orig.jpg')\n", "im = im.resize(size, Image.ANTIALIAS)\n", "\n", "# slightly rotated image\n", "im_rot = Image.open('test-images/test3-rot.jpg')\n", "im_rot = im_rot.resize(size, Image.ANTIALIAS)\n", "\n", "# slightly modified lighting conditions\n", "im_lig = Image.open('test-images/test3-lig.jpg')\n", "im_lig = im_lig.resize(size, Image.ANTIALIAS)\n", "\n", "# image cropped\n", "im_cro = Image.open('test-images/test3-cro.jpg')\n", "im_cro = im_cro.resize(size, Image.ANTIALIAS)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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RqBgZFs9hIh37ltEOl8sl3w+AFIHpdDoyN5iZ6fF4pM9Zb2I0GqFer2Nvb08K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\nzn5tbU1DQ0OWY0OLs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7enp0cYkAbUGKTF+BJtBdGLjrjE+vo6Njc3sbq6imQyiUceeQTR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\nA+ZwQAd0QE46YA4HdEAH5KT/H4++q/vwPkqWAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "im_gray = ImageOps.grayscale(im)\n", "plt.imshow(np.asarray(im_gray),cmap='gray',vmin=0,vmax=255)" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ujvcD0xaB9tnsAJCOR/M8Hq8Fhd0lYdO+uz5GWwEUTMFgEMAxGYvmI4/hb20+8hkJdq6u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\nMgiHw5K5aWBgQCQEDUQGg0HBIWZmZkQVZZVtgp/hcFi8Lnd2d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gCMAWgDcAHA6QfZhiba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\nAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "im_rot_gray = ImageOps.grayscale(im_rot)\n", "plt.imshow(np.asarray(im_rot_gray),cmap='gray',vmin=0,vmax=255)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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zoHKoloMx/GIMtajgH9AdcjJaHCqwqboL6nVprvN8FUNQgSFGCrhi81oc9LQU9gORLBYL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\nHnPYoz3aI1faYw57tEd75Er/HwWN49HtJWVUAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "im_lig_gray = ImageOps.grayscale(im_lig)\n", "plt.imshow(np.asarray(im_lig_gray),cmap='gray',vmin=0,vmax=255)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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NSt4HE7UqlQqq1arwJMFgEPF4HOPxWBKiFhcXsbe3JwqNLesKhQIODw/x4MED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\n1Dp78TWS+BpJCfyuVSa985N0YlyS2zzSi5k2GAB1jFLbZPT9N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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "im_cro_gray = ImageOps.grayscale(im_cro)\n", "plt.imshow(np.asarray(im_cro_gray),cmap='gray',vmin=0,vmax=255)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "SSIM of rotated image 0.4971\n", "SSIM of modified lighting image 0.8603\n", "SSIM of cropped image 0.3958\n" ] } ], "source": [ "ssim_rot = SSIM(im, gaussian_kernel_1d).ssim_value(im_rot)\n", "ssim_lig = SSIM(im, gaussian_kernel_1d).ssim_value(im_lig)\n", "ssim_cro = SSIM(im, gaussian_kernel_1d).ssim_value(im_cro)\n", "\n", "print(\"SSIM of rotated image %.4f\" % ssim_rot)\n", "print(\"SSIM of modified lighting image %.4f\" % ssim_lig)\n", "print(\"SSIM of cropped image %.4f\" % ssim_cro)" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CW-SSIM of rotated image 0.8724\n", "CW-SSIM of modified lighting image 0.9668\n", "CW-SSIM of cropped image 0.7171\n" ] } ], "source": [ "cw_ssim_rot = SSIM(im).cw_ssim_value(im_rot)\n", "cw_ssim_lig = SSIM(im).cw_ssim_value(im_lig)\n", "cw_ssim_cro = SSIM(im).cw_ssim_value(im_cro)\n", "\n", "print(\"CW-SSIM of rotated image %.4f\" % cw_ssim_rot)\n", "print(\"CW-SSIM of modified lighting image %.4f\" % cw_ssim_lig)\n", "print(\"CW-SSIM of cropped image %.4f\" % cw_ssim_cro)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.4.3" } }, "nbformat": 4, "nbformat_minor": 0 } pyssim-0.2/setup.py0000644001033700007640000000227612723342447014140 0ustar gilleswikidev"""Setup script for pyssim.""" from setuptools import find_packages from setuptools import setup install_requires = [] # pylint: disable=invalid-name # pylint: disable=import-error # pylint: disable=unused-import # pylint: disable=wrong-import-order # pylint: disable=wrong-import-position try: import PIL except ImportError: try: import Image except ImportError: install_requires.append('pillow') try: import numpy except ImportError: install_requires.append('numpy') try: import scipy except ImportError: install_requires.append('scipy') try: import argparse except ImportError: install_requires.append('argparse') setup( name='pyssim', version='0.2', description=('Module for computing Structured Similarity Image Metric ' '(SSIM) in Python'), author='Antoine Vacavant, Christopher Godfrey, Jeff Terrace', author_email='jterrace@gmail.com', platforms=['any'], license='MIT License', install_requires=install_requires, url='https://github.com/jterrace/pyssim', entry_points={ 'console_scripts': [ 'pyssim = ssim.__main__:main' ] }, packages=find_packages() ) pyssim-0.2/CHANGES.md0000644001033700007640000000042312723342447014010 0ustar gilleswikidev# Changelog ## 0.2 - Library now works on Python 3.2. - Automated testing using Travis CI. - Library is now lint clean. - Automatically resize images. - Internal refactoring using objects instead of functions. - Minor performance improvements. ## 0.1 - Original Release.