This package is a scikit-image fork. See https://github.com/scikit-image/scikit-image for the original package. This package add the following features to scikit-image:
- Use the SAD for channels distance in SLIC algorithm.
- Implement Chan-Sandberg-Vese segmentation (Chan-Vase for vector-valued images) with nu parameter.
Warning Even if the package is called scikit-cars, the python module name is still skimage.
Use pip to install this package:
pip install scikit-cars
Install dependencies using:
pip install -r requirements.txt
Then, install scikit-image using:
$ pip install .
If you plan to develop the package, you may run it directly from source:
$ pip install -e . # Do this once to add package to Python path
Every time you modify Cython files, also run:
$ python setup.py build_ext -i # Build binary extensions
Copyright (C) 2011, the scikit-image team All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- Neither the name of skimage nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.