├── .gitignore ├── .gitmodules ├── .scrutinizer.yml ├── .travis.yml ├── LICENSE ├── MANIFEST.in ├── README.rst ├── pybm3d ├── __init__.py └── bm3d.pyx ├── setup.cfg ├── setup.py ├── tests └── test_bm3d.py └── tox.ini /.gitignore: -------------------------------------------------------------------------------- 1 | pybm3d/*.cpp 2 | pybm3d/*.c 3 | *.png 4 | 5 | # Distribution / packaging 6 | build/ 7 | *.egg-info/ 8 | *.eggs 9 | dist 10 | 11 | # C extensions 12 | *.so 13 | 14 | # OSX 15 | .DS_Store 16 | 17 | # Text editor backup files 18 | *~ 19 | *.swp 20 | 21 | # Python 22 | .venv 23 | *.pyc 24 | __pycache__ 25 | .ipynb_checkpoints 26 | .python-version 27 | 28 | # Unit test / coverage reports 29 | .tox/ 30 | .cache 31 | -------------------------------------------------------------------------------- /.gitmodules: -------------------------------------------------------------------------------- 1 | [submodule "bm3d_src"] 2 | path = bm3d_src 3 | url = https://github.com/gfacciol/bm3d.git 4 | -------------------------------------------------------------------------------- /.scrutinizer.yml: -------------------------------------------------------------------------------- 1 | checks: 2 | python: 3 | code_rating: true 4 | duplicate_code: true 5 | build: 6 | tests: 7 | override: 8 | - tox -e flake8 9 | -------------------------------------------------------------------------------- /.travis.yml: -------------------------------------------------------------------------------- 1 | notifications: 2 | email: false 3 | language: python 4 | sudo: false 5 | 6 | install: 7 | - pip install tox 8 | matrix: 9 | include: 10 | - os: linux 11 | python: "2.7" 12 | env: TOX_ENV=py27 13 | - os: linux 14 | python: "3.6" 15 | env: TOX_ENV=py36 16 | - os: osx 17 | python: "2.7" 18 | language: generic 19 | before_install: 20 | - brew update 21 | # Python 2.7 is already installed 22 | - brew install fftw 23 | - virtualenv env -p python 24 | - source env/bin/activate 25 | env: TOX_ENV=py27 26 | - os: osx 27 | python: "3.6" 28 | language: generic 29 | before_install: 30 | - brew update 31 | - brew install python3 fftw 32 | - virtualenv env -p python3 33 | - source env/bin/activate 34 | env: TOX_ENV=py36 35 | - python: "3.6" 36 | env: TOX_ENV=flake8 37 | 38 | script: 39 | - tox -e $TOX_ENV 40 | 41 | branches: 42 | only: 43 | - master 44 | - develop 45 | 46 | addons: 47 | apt: 48 | packages: 49 | - libfftw3-dev 50 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | {one line to give the program's name and a brief idea of what it does.} 635 | Copyright (C) {year} {name of author} 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | {project} Copyright (C) {year} {fullname} 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | 676 | -------------------------------------------------------------------------------- /MANIFEST.in: -------------------------------------------------------------------------------- 1 | global-include *.c *.h 2 | -------------------------------------------------------------------------------- /README.rst: -------------------------------------------------------------------------------- 1 | PyBM3D 2 | ======= 3 | 4 | |license| |unix_build| |code_quality| 5 | 6 | | *So you want to denoise some images, or maybe shrink inside a projected gradient algorithm?* 7 | 8 | This Python package provides an interface for the BM3D denoising strategy which is based on enhanced sparse representations in the transform-domain. The enhancement of the sparsity is achieved by grouping similar 2D image fragments (e.g. blocks) into 3D data arrays. Visit the offical BM3D `website `_ for a detailed explanation, benchmark results and other related works. 9 | 10 | The core C implementation of BM3D is based on the `work `_ of Marc Lebrun. 11 | 12 | Installation 13 | ____________ 14 | PyBM3D is supported for Linux and OSX and Python 2.7 and 3.6. Please follow the installation instructions: 15 | 16 | 1. FFTW3: 17 | 18 | a. Linux: ``sudo apt-get install libfftw3-dev`` 19 | b. OSX: ``brew update && brew install fftw`` 20 | 21 | 2. ``pip install pybm3d`` 22 | 23 | Example 24 | ________ 25 | +------------------------------------------------------------------------------+ 26 | | **Denoising a RGB color image** | 27 | +------------------------------------------------------------------------------+ 28 | | .. code:: python | 29 | | | 30 | | import numpy as np | 31 | | import skimage.data | 32 | | from skimage.measure import compare_psnr | 33 | | | 34 | | import pybm3d | 35 | | | 36 | | | 37 | | noise_std_dev = 40 | 38 | | img = skimage.data.astronaut() | 39 | | noise = np.random.normal(scale=noise_std_dev, | 40 | | size=img.shape).astype(img.dtype) | 41 | | | 42 | | noisy_img = img + noise | 43 | | | 44 | | out = pybm3d.bm3d.bm3d(noisy_img, noise_std_dev) | 45 | | | 46 | | noise_psnr = compare_psnr(img, noisy_img) | 47 | | out_psnr = compare_psnr(img, out) | 48 | | | 49 | | print("PSNR of noisy image: ", noise_psnr) | 50 | | print("PSNR of reconstructed image: ", out_psnr) | 51 | | | 52 | +------------------------------------------------------------------------------+ 53 | 54 | License 55 | ________ 56 | This project is released under the terms of the `GPL3 license `_. 57 | 58 | 59 | .. |license| image:: https://img.shields.io/badge/License-GPL%20v3-blue.svg 60 | :target: https://www.gnu.org/licenses/gpl-3.0 61 | :alt: License: GPL v3 62 | 63 | .. |unix_build| image:: https://img.shields.io/travis/ericmjonas/pybm3d.svg?branch=master&style=flat&label=unix%20build 64 | :target: https://travis-ci.org/ericmjonas/pybm3d/ 65 | :alt: Travis-CI Status 66 | 67 | .. |code_quality| image:: https://scrutinizer-ci.com/g/ericmjonas/pybm3d/badges/quality-score.png?b=master 68 | :target: https://scrutinizer-ci.com/g/ericmjonas/pybm3d/?branch=master 69 | :alt: Scrutinizer Code Quality 70 | -------------------------------------------------------------------------------- /pybm3d/__init__.py: -------------------------------------------------------------------------------- 1 | """PyBM3D package for image denoising.""" 2 | import pybm3d.bm3d as bm3d 3 | 4 | 5 | __all__ = ['bm3d'] 6 | -------------------------------------------------------------------------------- /pybm3d/bm3d.pyx: -------------------------------------------------------------------------------- 1 | # setuptools: language = c++ 2 | import numpy as np 3 | 4 | from libcpp.vector cimport vector 5 | from libcpp cimport bool 6 | cimport numpy as np 7 | 8 | 9 | __all__ = ['PARAMS', 'bm3d'] 10 | 11 | 12 | PARAMS = {"YUV": 0, 13 | "YCBCR": 1, 14 | "OPP": 2, 15 | "RGB": 3, 16 | "DCT": 4, 17 | "BIOR": 5, 18 | "HADAMARD": 6, 19 | "NONE": 7} 20 | 21 | 22 | cdef extern from "../bm3d_src/bm3d.h": 23 | int run_bm3d(const float sigma, vector[float] &img_noisy, 24 | vector[float] &img_basic, 25 | vector[float] &img_denoised, 26 | const unsigned width, 27 | const unsigned height, 28 | const unsigned chnls, 29 | const bool useSD_h, 30 | const bool useSD_w, 31 | const unsigned tau_2D_hard, 32 | const unsigned tau_2D_wien, 33 | const unsigned color_space, 34 | const unsigned patch_size, 35 | const bool verbose) 36 | 37 | 38 | cpdef float[:,:,:] run_bm3d_wrap( 39 | float[:,:,:] input_array, 40 | float sigma, 41 | bool useSD_h=True, 42 | bool useSD_w=True, 43 | str tau_2D_hard="DCT", 44 | str tau_2D_wien="DCT", 45 | str color_space="YUV", 46 | int patch_size=0, 47 | bool verbose=False): 48 | """ 49 | sigma: value of assumed noise of the noisy image 50 | patch_size: overrides the default patch size selection. 51 | patch_size=0: use default behavior 52 | patch_size>0: size to be used 53 | 54 | input_array : input image, H x W x channum 55 | 56 | useSD_h (resp. useSD_w): if true, use weight based 57 | on the standard variation of the 3D group for the 58 | first (resp. second) step, otherwise use the number 59 | of non-zero coefficients after Hard Thresholding 60 | (resp. the norm of Wiener coefficients); 61 | 62 | tau_2D_hard (resp. tau_2D_wien): 2D transform to apply 63 | on every 3D group for the first (resp. second) part. 64 | Allowed values are 'DCT' and 'BIOR'; 65 | """ 66 | tau_2D_hard_i = PARAMS.get(tau_2D_hard) 67 | if tau_2D_hard_i is None: 68 | raise ValueError("Unknown tau_2d_hard, must be 'DCT' or 'BIOR'") 69 | 70 | tau_2D_wien_i = PARAMS.get(tau_2D_wien) 71 | if tau_2D_wien_i is None: 72 | raise ValueError("Unknown tau_2d_wien, must be 'DCT' or 'BIOR'") 73 | 74 | color_space_i = PARAMS.get(color_space) 75 | if color_space_i is None: 76 | raise ValueError("Unknown color_space, must be 'RGB', 'YUV', 'OPP'" 77 | " or 'YCBCR'") 78 | 79 | if patch_size < 0: 80 | raise ValueError("The patch_size parameter must be 0 (default" 81 | " behavior) or larger than 0 (size to be used).") 82 | 83 | cdef vector[float] input_image, basic_image, output_image 84 | 85 | height = input_array.shape[0] 86 | width = input_array.shape[1] 87 | chnls = input_array.shape[2] 88 | 89 | # convert the input image 90 | input_image.resize(input_array.size) 91 | pos = 0 92 | for i in range(input_array.shape[0]): 93 | for j in range(input_array.shape[1]): 94 | for k in range(input_array.shape[2]): 95 | input_image[pos] = input_array[i, j, k] 96 | pos +=1 97 | 98 | ret = run_bm3d(sigma, input_image, basic_image, output_image, 99 | width, height, chnls, 100 | useSD_h, useSD_w, 101 | tau_2D_hard_i, tau_2D_wien_i, 102 | color_space_i, 103 | patch_size, 104 | verbose) 105 | if ret != 0: 106 | raise Exception("run_bmd3d returned an error, ret_val=%d" % ret) 107 | 108 | cdef np.ndarray output_array = np.zeros([height, width, chnls], 109 | dtype=np.float32) 110 | 111 | pos = 0 112 | for i in range(input_array.shape[0]): 113 | for j in range(input_array.shape[1]): 114 | for k in range(input_array.shape[2]): 115 | output_array[i, j, k] = output_image[pos] 116 | pos +=1 117 | 118 | return output_array 119 | 120 | 121 | def bm3d(input_array, *args, clip=True, **kwargs): 122 | """Applies BM3D to the given input_array. 123 | 124 | This function calls the Cython wrapped run_bm3d C function. Before inputs 125 | are preprocessed: 126 | 1. Convert to type Float 127 | 2. If necessary, add third channel dimension 128 | """ 129 | input_array = np.array(input_array) 130 | initial_shape, initial_dtype = input_array.shape, input_array.dtype 131 | 132 | input_array = np.atleast_3d(input_array).astype(np.float32) 133 | 134 | out = run_bm3d_wrap(input_array, *args, **kwargs) 135 | out = np.array(out, dtype=initial_dtype).reshape(initial_shape) 136 | if clip: 137 | if np.issubdtype(initial_dtype, np.integer): 138 | dtype_info = np.iinfo(initial_dtype) 139 | else: 140 | dtype_info = np.finfo(initial_dtype) 141 | out = np.clip(out, dtype_info.min, dtype_info.max) 142 | 143 | return out 144 | -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [metadata] 2 | description-file = README.rst 3 | [flake8] 4 | filename = *.pyx,*.px*, *.py 5 | exclude = .eggs, *.egg, build, .tox 6 | ignore = E901,E225,E226,E227 7 | max-complexity = 10 8 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | """PyBM3D packaging and distribution.""" 2 | import os 3 | from setuptools import setup, Extension 4 | from setuptools.command.build_ext import build_ext as _build_ext 5 | 6 | 7 | class CustomBuildExt(_build_ext): 8 | """Custom build extension class.""" 9 | 10 | def __init__(self, *args, **kwargs): 11 | """Extends default class constructor.""" 12 | # _build_ext is not a new-style (object) class, which is required for 13 | # super to work 14 | _build_ext.__init__(self, *args, **kwargs) 15 | self.cuda_config = self.load_cuda_config() 16 | 17 | def build_extensions(self): 18 | """Extends default build_extensions method. 19 | 20 | Further customizes the compiler to add C file specific compile 21 | arguments and support nvcc compilation of *.cu CUDA files.""" 22 | 23 | self.customize_compiler_for_c_args_and_nvcc() 24 | _build_ext.build_extensions(self) 25 | 26 | def finalize_options(self): 27 | """Extends default finalize_options method. 28 | 29 | Injects NumPy`s C include directories into the Cython compilation. This 30 | is done after NumPy was installed through the setuptools setup_requires 31 | argument which removes NumPy from the necessary preinstalled 32 | packages.""" 33 | 34 | _build_ext.finalize_options(self) 35 | # prevent numpy from thinking it is still in its setup process 36 | __builtins__.__NUMPY_SETUP__ = False 37 | import numpy 38 | self.include_dirs.append(numpy.get_include()) 39 | 40 | def customize_compiler_for_c_args_and_nvcc(self): 41 | """Customize the compiler. 42 | 43 | The customization adds C file specific compile 44 | arguments and support for nvcc compilation of *.cu CUDA files.""" 45 | 46 | self.compiler.src_extensions.append('.cu') 47 | 48 | # save references to the default compiler_so and _comple methods 49 | default_compiler_so = self.compiler.compiler_so 50 | super = self.compiler._compile 51 | 52 | # now redefine the _compile method. This gets executed for each 53 | # object but distutils doesn't have the ability to change compilers 54 | # based on source extension: we add it. 55 | def _compile(obj, src, ext, cc_args, extra_postargs, pp_opts): 56 | if os.path.splitext(src)[1] == '.cu': 57 | # use the nvcc for *.cu files 58 | self.compiler.set_executable('compiler_so', 59 | self.cuda_config['nvcc']) 60 | postargs = extra_postargs['nvcc'] 61 | else: 62 | postargs = extra_postargs['unix'] 63 | 64 | # add C file specific compile arguments 65 | if os.path.splitext(src)[1] == '.c': 66 | postargs = postargs + extra_postargs['c_args'] 67 | 68 | super(obj, src, ext, cc_args, postargs, pp_opts) 69 | # reset the default compiler_so 70 | self.compiler.compiler_so = default_compiler_so 71 | 72 | # inject our redefined _compile method into the class 73 | self.compiler._compile = _compile 74 | 75 | @staticmethod 76 | def load_cuda_config(): 77 | """Locate the CUDA environment on the system 78 | Returns a dict with keys 'home', 'nvcc', 'include', and 'lib64' 79 | and values giving the absolute path to each directory. 80 | """ 81 | def find_in_path(name, path): 82 | """Finds a file by name in a search path.""" 83 | for dir in path.split(os.pathsep): 84 | binpath = os.path.join(dir, name) 85 | if os.path.exists(binpath): 86 | return os.path.abspath(binpath) 87 | return None 88 | 89 | # first check if the CUDA_HOME env variable is in use 90 | if 'CUDA_HOME' in os.environ: 91 | home = os.environ['CUDA_HOME'] 92 | nvcc = os.path.join(home, 'bin', 'nvcc') 93 | else: 94 | # otherwise, search the PATH for NVCC 95 | nvcc = find_in_path('nvcc', os.environ['PATH']) 96 | if nvcc is None: 97 | return {'cuda_available': False} 98 | raise EnvironmentError('The nvcc binary could not be located ' 99 | 'in your $PATH. Either add it to your ' 100 | 'path, or set $CUDA_HOME') 101 | home = os.path.dirname(os.path.dirname(nvcc)) 102 | 103 | cuda_config = {'home': home, 'nvcc': nvcc, 104 | 'include': os.path.join(home, 'include'), 105 | 'lib64': os.path.join(home, 'lib64')} 106 | for k, v in cuda_config.items(): 107 | if not os.path.exists(v): 108 | raise EnvironmentError('The CUDA %s path could not be located ' 109 | 'in %s' % (k, v)) 110 | 111 | return cuda_config 112 | 113 | 114 | # optimize to the current CPU and enable warnings 115 | extra_compile_args = {'unix': ['-march=native', '-Wall', '-Wextra', ], 116 | 'c_args': ['-std=c99', ]} 117 | libraries = ["png", "tiff", "jpeg", "fftw3", "fftw3f"] 118 | ext_modules = [Extension("pybm3d.bm3d", 119 | language="c++", 120 | sources=["pybm3d/bm3d.pyx", 121 | "bm3d_src/iio.c", 122 | "bm3d_src/bm3d.cpp", 123 | "bm3d_src/lib_transforms.cpp", 124 | "bm3d_src/utilities.cpp", ], 125 | extra_compile_args=extra_compile_args, 126 | libraries=libraries)] 127 | 128 | setup( 129 | name='pybm3d', 130 | version='0.2.1', 131 | description='Python wrapper around BM3D', 132 | author='Eric Jonas', 133 | author_email='jonas@ericjonas.com', 134 | maintainer='Tim Meinhardt', 135 | maintainer_email='meinhardt.tim@gmail.com', 136 | url='https://github.com/ericmjonas/pybm3d', 137 | download_url='https://github.com/ericmjonas/pybm3d/releases/download/v0.2.1/pybm3d-0.2.1.tar.gz', 138 | zip_safe=False, 139 | packages=['pybm3d'], 140 | ext_modules=ext_modules, 141 | cmdclass={'build_ext': CustomBuildExt}, 142 | setup_requires=['numpy>=1.13', ], 143 | install_requires=[ 144 | 'setuptools>=18.0', 145 | 'cython>=0.27', 146 | 'numpy>=1.13', ], 147 | tests_require=[ 148 | 'pytest', 149 | 'scikit-image', ], 150 | ) 151 | -------------------------------------------------------------------------------- /tests/test_bm3d.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding=utf-8 3 | """Tests for BM3D image denoising.""" 4 | 5 | import pytest 6 | import numpy as np 7 | import skimage.data 8 | from skimage.measure import compare_psnr 9 | 10 | import pybm3d 11 | 12 | 13 | @pytest.fixture 14 | def noise_data(): 15 | """Provide grayscale data for denoising.""" 16 | noise_std_dev = 40.0 17 | img = skimage.data.camera() 18 | 19 | noise = np.random.normal(0, noise_std_dev, img.shape).astype(img.dtype) 20 | noisy_img = np.clip(img + noise, 0, 255) 21 | return img, noisy_img, noise_std_dev 22 | 23 | 24 | @pytest.fixture 25 | def color_noise_data(): 26 | """Provide color data for denoising.""" 27 | noise_std_dev = 40.0 28 | img = skimage.data.astronaut() 29 | 30 | noise = np.random.normal(0, noise_std_dev, img.shape).astype(img.dtype) 31 | noisy_img = np.clip(img + noise, 0, 255) 32 | return img, noisy_img, noise_std_dev 33 | 34 | 35 | def test_import(): 36 | """Tests for BM3D function availability.""" 37 | import pybm3d 38 | assert callable(pybm3d.bm3d.bm3d) 39 | 40 | 41 | def test_bm3d(noise_data): 42 | """Tests BM3D grayscale image denoising.""" 43 | img, noisy_img, noise_std_dev = noise_data 44 | 45 | out = pybm3d.bm3d.bm3d(noisy_img, noise_std_dev) 46 | 47 | noise_psnr = compare_psnr(img, noisy_img) 48 | out_psnr = compare_psnr(img, out) 49 | 50 | assert out_psnr > noise_psnr 51 | 52 | 53 | def test_bm3d_color(color_noise_data): 54 | """Tests BM3D color image denoising.""" 55 | img, noisy_img, noise_std_dev = color_noise_data 56 | 57 | out = pybm3d.bm3d.bm3d(noisy_img, noise_std_dev) 58 | 59 | noise_psnr = compare_psnr(img, noisy_img) 60 | out_psnr = compare_psnr(img, out) 61 | 62 | assert out_psnr > noise_psnr 63 | 64 | 65 | def test_fail_patch_size_param(noise_data): 66 | """Tests expected failure for wrong patch_size parameter value.""" 67 | _, noisy_img, noise_std_dev = noise_data 68 | 69 | with pytest.raises(ValueError): 70 | pybm3d.bm3d.bm3d(noisy_img, noise_std_dev, patch_size=-1) 71 | 72 | 73 | def test_fail_tau_2d_hard_param(noise_data): 74 | """Tests expected failure for wrong tau_2D_hard parameter value.""" 75 | _, noisy_img, noise_std_dev = noise_data 76 | 77 | with pytest.raises(ValueError): 78 | pybm3d.bm3d.bm3d(noisy_img, noise_std_dev, tau_2D_hard="not_supported") 79 | 80 | 81 | def test_fail_tau_2d_wien_param(noise_data): 82 | """Tests expected failure for wrong tau_2D_wien parameter value.""" 83 | _, noisy_img, noise_std_dev = noise_data 84 | 85 | with pytest.raises(ValueError): 86 | pybm3d.bm3d.bm3d(noisy_img, noise_std_dev, tau_2D_wien="not_supported") 87 | 88 | 89 | def test_fail_color_space_param(noise_data): 90 | """Tests expected failure for wrong tau_2D_wien parameter value.""" 91 | _, noisy_img, noise_std_dev = noise_data 92 | 93 | with pytest.raises(ValueError): 94 | pybm3d.bm3d.bm3d(noisy_img, noise_std_dev, color_space="not_supported") 95 | -------------------------------------------------------------------------------- /tox.ini: -------------------------------------------------------------------------------- 1 | # Tox (http://tox.testrun.org/) is a tool for running tests 2 | # in multiple virtualenvs. This configuration file will run the 3 | # test suite on all supported python versions. To use it, "pip install tox" 4 | # and then run "tox" from this directory. 5 | 6 | [tox] 7 | envlist = py27, py36, flake8 8 | 9 | [testenv] 10 | deps= 11 | pytest 12 | scikit-image 13 | changedir=tests 14 | commands= 15 | pytest -s --basetemp={envtmpdir} {posargs} 16 | 17 | [testenv:flake8] 18 | deps= 19 | flake8 20 | flake8-docstrings 21 | pep8-naming 22 | mccabe 23 | commands = 24 | flake8 25 | --------------------------------------------------------------------------------